Patent Application
20200384309
All publications and patent applications mentioned in this specification are herein incorporated by reference in their entirety to the same extent as if each individual publication or patent application was specifically and individually indicated to be incorporated by reference.
This application relates to the field of exercise or therapy systems in particular exercise or therapy systems that controllably generate and maintain a differential air pressure (DAP) envelope about a user so as to at least partially or completely unweight the user. This application also relates to improved pressure chambers for use in differential air pressure (DAP) systems including data collection and utilization for medical treadmills and related software systems. Additional support and height adjustment mechanisms are also disclosed.
Conventional treadmills and other cardiovascular load inducing training equipment have historically used analog interfaces for the display of information and interactivity for adjusting various control settings such as treadmill speed, incline degree, amount of unweighting, and the like during the session. As a result, conventional treadmill and exercise equipment data has mostly existed in a fitness environment. As such, the user data collected lacks the necessary privacy and security, communication and payment management features required by the medical industry. To date, utilization of cloud connected exercise equipment has been almost non-existent in medical facilities due to privacy and confidentiality challenges to protected health information (PHI) required by the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act. HIPAA and HITECH define PHI as individually identifiable health information including demographic information such as date of birth and zip code, that: (A) is created or received by a health care provider, health plan, public health authority, employer, life insurer, school or university, or health care clearinghouse; and (B) relates to the past, present, or future physical or mental health or condition of any individual, the provision of health care to an individual, or the past, present, or future payment for the provision of health care to an individual.
Differential Air Pressure (DAP) partial unweighting systems have typically been designed for Physical Therapists for direct use with their patients. Such systems typically contain a treadmill, a flexible bag that applies air pressure to the lower portion of the user's body, and large, continuous, unobstructed windows in the bag, that allow a therapist to observe a patient's gait mechanics in order to provide feedback and to assess issues or progress. Such windows come at a high cost. First, the windows typically must be bent in order for the user to enter or exit the system. Since the flexible window material and its seams can fail if left in the down or bent position for too long, the user or therapist must remember to return the cockpit and the windows to the “up” or in-use position between uses to avoid damage. Second, a rigid, upward pressure opposing cockpit structure is typically included in such systems to adjust the bag top surface height to different user heights. As the pressure on the cockpit structure is primarily upwards, the most efficient support structure would be directly adjacent to the cockpit. Owing to the desire for an unobstructed view for the PT though, existing support structures are typically cantilevered designs or four post arrangements, which require more, higher strength materials to be used, adding not only to material costs, but to shipping costs as well.
Expanding into markets beyond the specialized requirements of PTs, the need exists for a low cost bag/window/cockpit configuration for DAP systems, that is appropriate for independent users, and adequate for PTs, in terms of cost, usability, and visibility.
Differential Air Pressure (DAP) partial unweighting systems have typically comprised an OEM treadmill enclosed in a flexible bag that applies air pressure to the lower portion of the user's body. These systems are commonly large and costly due to the redundancy of structural elements between the treadmill and the airtight enclosure, and due to the high cost of shipping such bulky systems. Such system are also difficult to maintain, as servicing of the enclosed treadmill must be accomplished within the confines of the airtight enclosure or by disassembling the enclosure. In addition, existing systems usually have step-up heights in excess of 8 inches, making it difficult for low functioning users to enter without the use of a separate, auxiliary step. This step-up challenge is further exacerbated by load cells, which are commonly placed under the treadmill to measure user weight for calibration, and to gauge footfalls during gait measurement.
While the present systems are effective in delivering basic unweighing therapy, the need exists for equally functional systems that are smaller, lighter, less costly, easier to maintain, and easier for users to access as well as equipped to meet the requirements of privacy and confidentiality required for patient medical records, including the data and patient electronic health records created, generated, updated before, during or after performing unweighting therapy.
In general, in one embodiment, a differential air pressure exercise system includes a frame supporting an exercise device and a user control panel; a latch-able, pressure resisting cockpit assembly coupled to the frame to support the operating pressure of the differential air pressure system; a support frame adapted and configured to slide-ably support the cockpit assembly relative to the exercise device wherein a pair of supports of the support frame are coupled to the cockpit proximal to and spaced apart from the user control panel.
This and other embodiments can include one or more of the following features. In one aspect, the latch-able, pressure resisting cockpit assembly where latches can be engaged on both sides of the cockpit by actuating only one of several triggering mechanisms positioned about the user. In another aspect, the latch-able pressure resisting cockpit assembly where all latches and trigger mechanisms can be connected by a cable or cables. In a further aspect, the latch-able pressure resisting cockpit assembly where all latches and trigger mechanisms can be connected by a cable or cables and the cable tension and play can be adjusted by in-line, threaded length adjusters. In an alternative aspect, the latch-able pressure resisting cockpit assembly can further include an opening that accepts the user is round and a DAP unweighting bag with a round opening that accepts the user which can be fixed at multiple points to the round cockpit assembly opening.
In general, in one embodiment, a differential air pressure exercise system includes a frame supporting an exercise device and a user control panel; a latch-able, pressure resisting cockpit assembly coupled to the frame to support the operating pressure of the differential air pressure system; a DAP unweighting bag coupled to the cockpit assembly, the bag having a plurality of windows; a support frame adapted and configured to slide-ably support the cockpit assembly along a pair of supports moving the cockpit relative to the exercise device from an in use position at a first height where the DAP unweighting bag is in an unfolded configuration to an ingress/egress position at a second height wherein of the support a DAP unweighting bag is in a folded configuration and in the folded configuration none of the plurality of windows is folded.
This and other embodiments can include one or more of the following features. In one aspect, the DAP unweighting bag where all windows of the bag can be interspersed with flexible, folding, pleated sections. In another aspect, the DAP unweighting bag where all pleated sections can be reinforced by horizontal rods that prevent window folding. In a further aspect, the system can further include a DAP unweighting bag where elastic members enforce folding of the DAP unweighting bag in a predetermined, preferred direction and sequence. In an alternative aspect, a DAP unweighting bag where side window heights between pleated sections can be less than the spacing between the cockpit supports and the cockpit user opening. In yet another aspect, a DAP unweighting bag where pleated sections can be attached to cockpit supports in a vertically slide-able manner. In still another aspect, a cockpit support structure that can include a low friction application to prevent binding and wear of the adjacent DAP unweighting bag as it slides up and down.
In general, in one embodiment, a method of performing a differential air pressure therapy includes positioning a differential air pressure bag and cockpit in a folded position permitting ingress of a user to a loading point in the pressure bag; coupling the user to the differential air pressure bag or cockpit; unfolding at least one preferentially folded portion of the differential air pressure bag while raising the differential air pressure bag or cockpit from the folded position; engaging at least one latch to support the cockpit at a user selected height while performing the differential air pressure therapy.
These and other embodiments can include one or more of the following features. In one aspect, the method can further include releasing at least one latch; lowering the differential air pressure bag and cockpit to a folding position along the support frame; and folding the differential air pressure bag at least partially along at least one preferentially folded portion before reaching the folded position. In another aspect, none of a plurality of windows provided on the differential air pressure bag can be folded during the lowering or the folding step. In a further aspect, the method can further include lowering the differential air pressure bag to the folding position without folding any of a plurality of windows provided on the differential air pressure bag.
In general, in one embodiment, a base for a differential air pressure system includes a treadmill base having a pressure sealed portion and a non-pressure sealed portion; a pair of rollers, a treadmill belt coupled to the pair of rollers and at least one load cell adjacent to the treadmill belt, supporting a portion of the treadmill deck, disposed within the pressure sealed portion, a motor and a drive belt coupled to the motor, the belt also positioned for driving one roller of the pair of rollers wherein, the one roller includes a pressure tight seal; a blower within the non-pressure sealed portion positioned so that a blower flow output is sealed to an inlet to the pressure sealed portion of the treadmill base.
This and other embodiments can include one or more of the following features. In one aspect, the base can further include an electronic control system within the non-pressure sealed portion in communication with the treadmill motor and configured for providing a voltage-controlled signal to the blower. In another aspect, the base can further include a user accessible cover over the non-pressure sealed portion containing the blower and a non-user accessible cover over the non-pressure sealed portion containing the non-user-serviceable treadmill motor and electronic control system. In a further aspect, the base can further include a user accessible cover only over the non-pressure sealed portion containing the blower. In an alternative aspect, the base can further include a plug-in outlet for use with the blower, said outlet being positioned in a bulkhead separating two portions of the non-pressure sealed portion. In yet another aspect, the base can further include one or more pressure tight penetrations in a bulkhead of the pressure sealed portion of the treadmill base wherein the size, shape and position of the penetration can be adapted and configured to permit service, maintenance or adjustment of one or more components accessible through the one or more pressure tight penetrations. In still another aspect, the one or more components can include a roller, a bearing, a treadmill deck, a load cell, a gait sensor, a measurement device, an adjustment device, a treadmill belt or other component within the pressure sealed portion of the treadmill deck.
This and other embodiments can include one or more of the following features. In one aspect, the penetration can be accessed while the treadmill is in operation or in use by a user during a DAP routine without adversely impacting a DAP routine being performed using the DAP system. In another aspect, the DAP system can be serviced without breaking a perimeter formed pressure seal about the base of the differential air pressure system. In a further aspect, the pressure tight seal can be a pressure rotating lip seal, a sealed bearing, or a labyrinth seal. In an alternative aspect, the overall step height for a user can be within an ADA guideline for step height. In yet another aspect, the overall height of the upper pressure-sealing surface of the treadmill base can be less than 7 inches or between about 4 inches to about 7 inches in use. In still another aspect, the base can further include a low profile configuration of a load cell and a cushioning element coupled to the treadmill base and in position relative to the treadmill deck.
This and other embodiments can include one or more of the following features. In one aspect, the base can further include a low profile configuration of a load cell and a gait measurement device coupled to the treadmill base and in position relative to the treadmill deck. In another aspect, the base can further include a low profile configuration of a load cell coupled to the treadmill base and in position relative to the treadmill deck. In a further aspect, the base can further include a front pair of low profile measurement devices and a rear pair of low profile measurement devices coupled to the treadmill base and in position relative to the treadmill deck. In an alternative aspect, the measurement devices can be one or more of a cushioning element, a measurement device, a load cell, a gait measurement device, a dampening device or a sensor. In yet another aspect, the base can further include at least one low profile configuration load cell including: a load cell coupled to a portion of the treadmill base; a damper attached to the load cell; and a treadmill deck mount connected to a bottom surface of the treadmill deck and to the damper. In still another aspect, the damper can be made from rubber or a shock absorbing material.
This and other embodiments can include one or more of the following features. In one aspect, the damper can be replaced with aluminum, a metal or a hard non- or low-shock absorbing material. In another aspect, the treadmill deck top can be about the same height from the treadmill base as an uppermost portion of a treadmill deck frame to damper attachment point. In a further aspect, the base can further include a front pair of low profile cushioned load cells and a rear pair of low profile hard or non-cushioned load cells. In an alternative aspect, the load cell and damper configuration can be adapted and configured to improve load cell signal to noise output. In yet another aspect, the load cell and damper configuration can be adapted and configured to specifically improve load cell signal to noise output for a gait measurement device or process used in conjunction with a therapy performed using a system having the base. In still another aspect, the base can further include an airtight, externally accessible tracking angle adjustment component positioned for adjustment for one or both of the front roller or the rear roller.
This and other embodiments can include one or more of the following features. In one aspect, the base can include a user-accessibly service bay or cover for access to a user-replaceable blower. In another aspect, the base can further include one or more cleanout doors within one or more bulkheads of the pressure volume side of the treadmill base. In a further aspect, the one or more cleanout doors can be adapted or configured for positive pressure sealing against a bulkhead of the base. In an alternative aspect, the one or more cleanout doors can be coupled to a treadmill bulkhead by a screw, a fastener, via a sliding arrangement, or via a hinged arrangement. In yet another aspect, the blower can be activated with one or more of the clean out doors opened and operated at an appropriate level to expel debris from within the treadmill pressure volume. In still another aspect, a portion of the treadmill base can support one side of each of a four bar bag clamping system.
This and other embodiments can include one or more of the following features. In one aspect, a portion of the entire perimeter of the treadmill base about the treadmill tread can be adapted and configured for use to secure a lower portion of a DAP bag to the treadmill base. In another aspect, the base can have a camera attached to, on or within a portion of the treadmill deck. In a further aspect, the camera can be within the pressure volume side of the treadmill base. In an alternative aspect, the camera can be an embedded deck gait camera or a camera with spring loaded recess or a camera having a self-wiping feature. In yet another aspect, the base can further include a housing about the camera to shield the camera from damage during ingress or egress to the treadmill deck. In another aspect, the base can include lighting to improve video and still image capture. In another aspect, the interior of the pressure bag can be selectively reflective to enhance the distribution of light around the user's lower extremities. In still another aspect, the base can further include a current limiting circuit, an automatic current inrush and RMS limiting circuit or a circuit adapted and configured to reduce/eliminate circuit breaker overload.
This and other embodiments can include one or more of the following features. In one aspect, the circuit or circuits can be external to DAP system, external to the treadmill or DAP system electronics and part of the DAP system, or integrated into the DAP system electronics. In another aspect, the circuit can be electrically connected to both of and is between a power supply for a DAP system and the DAP system electronics.
In some embodiments, a method of unweighting system treatment management is provided. The method comprises providing a user's information, the information comprising at least two of the following characteristics: age, weight, gender, location, desired result, current medical condition, height, lift access requirements, therapist access requirements, therapy history, past workout information, and user type, wherein user type comprises at least one of an athlete, a casual user, a rehabilitation user, and a chronic user; analyzing, using a processor, the user's information based, at least in part, on aggregate information in a database comprising other users' characteristics and associated past workout session data including duration, speed, incline, and unweighting level used during workouts; and generating, using a processor, a suggested workout routine including duration, speed, incline, and unweighting level to be used during a workout based on the comparing of the user's information to the other users' information.
The analyzing can comprise comprising matching user characteristics to other users' characteristics. Providing the user's information can comprise prioritizing at least one of the characteristics. The matching step can further comprise a.) determining whether at least a portion of the user's characteristics matches at least a subset of at least one user's of the other users characteristics; b.) omitting a lowest priority characteristic from the at least a portion of the user's characteristics to create a prioritized user information set if step a produces no match using the at least a portion of the user's characteristics; c.) determining whether the prioritized user information set matches at least a subset of at least one user's of the other users characteristics; and d.) repeating steps b and c until the prioritized user information matches at least a subset of the at least one user's characteristics. In some embodiments, analyzing comprises identifying at least one other user sharing characteristics with the user and having a favorable workout outcome. The favorable workout outcome can comprise at least one of user satisfaction, obtaining the desired result and progress towards the desired result. Current medical condition can comprise at least one of original diagnosis, dates of injuries, date or type of illness, date or type of interventions, an indication of rehabilitation progress, and a previous treatment and date of treatment. In some embodiments, therapy history comprises prescribed therapy history, actual therapy history, therapy history on an unweighting system, therapy history using other equipment. The method can further comprise generating a recommended therapy or workout based on a medical guideline. In some embodiments, providing the user's information occurs at a same appointment or workout session as the analyzing and generating steps. In some embodiments, providing the user's information occurs at an earlier appointment or workout session as the analyzing and generating steps. Providing the user's information can comprise creating a user profile or presenting a unique identifier. The method can further comprise sending the suggested workout routine to a medical professional or insurance provider for approval. The method can further comprise modifying, by the medical professional or insurance provider, the suggested workout routine. In some embodiments, the generating step comprising generating more than one suggested workout routines. The method can further comprise transferring funds from the user to a treatment facility or provider. The method can further comprise providing a cost for the suggested workout routine. Differential pricing can be used to determine the cost. The method can further comprise providing a list of unweighting systems appropriate for the suggested workout routine. The method can further comprise providing available appointment times for suitable unweighting systems. The method can further comprise scheduling an appointment. In some embodiments, generating a suggested workout routine comprises generating workout routine on equipment other than an unweighting system. The method can further comprise uploading the suggested workout routine to the database. The method can further comprise performing the suggested workout and uploading performance data to the database. In some embodiments, the method comprises an iterative process, generating periodic updates for the user or a medical professional. The method can further comprise generating subsequent suggested workout routines based on user progress.
In some embodiments, a system for unweighting usage management is provided. The system comprises a storage database comprising past user information and related workout data; a user interface allowing a present user to access information from or add information to the storage database, the information comprising at least two of the following characteristics: age, weight, gender, location, desired result, current medical condition, height, lift access requirements, therapist access requirements, therapy history, past workout information, and user type, wherein user type comprises at least one of an athlete, a casual user, a rehabilitation user, and a chronic user; a processor comprising instructions for comparing present user information and past user information and related workout data and generating a suggested workout routine including suggested duration, speed, incline, and unweighting to be used during a workout based on the comparing of the present user information to the past user information and related workout data.
The system can be configured to connect to one or more unweighting systems. The storage database can comprise a centralized or cloud based database. In some embodiments, the user interface can be accessed through a network interface such as an internet or LAN, a local terminal, laptop, tablet, computer, or smart phone. The system can comprise instructions for sending the suggested workout routine to a particular unweighting system, a medical professional, or an insurance provider.
In some embodiments, a method of finding an available and appropriate unweighting system site is provided. The method comprises identifying a user; providing a user location; providing one or more user system characteristics to identify an appropriate unweighting system, the user system characteristics comprising at least one of a user type, the user type comprising at least one of an athlete, a casual user, a rehabilitation user, and a chronic user, a medical condition, a desired result, and an unweighting system access need; matching, using a processor, the user system characteristics with one or more appropriate unweighting systems based on unweighting system features comprising type of unweighting system, unweighting provided, access provided, and analysis capability; and generating, using a processor, one or more suggested unweighting system sites based on compatibility of the unweighting system sites with the user location and the one or more appropriate unweighting systems.
In some embodiments, access needs comprises at least one of a need for lift assistance and need for a physical therapist on site. In some embodiments, determining one or more appropriate unweighting systems comprises determining one or more appropriate unweighting systems having the most unweighting system features compatible with the user system characteristics. Compatibility of an unweighting system site with a user location can be based on proximity of the unweighting system site to the user location. The method can further comprise providing additional user requirements, the additional user requirements comprising desired time slot, desired day of the week, and insurance requirements. In some embodiments, generating one or more suggested unweighting system sites is based on availability of the additional user requirements at the one or more appropriate unweighting systems and with proximity of the one or more appropriate unweighting systems to the user location. The generating step can comprise providing a list of suggested unweighting system sites sorted with the site having features matching the highest number of criteria including the additional user requirements, the user location, and the one or more appropriate unweighting systems higher than sites having features matching a lower number of criteria including the additional user requirements, the user location, and the one or more appropriate unweighting systems. The method can further comprise prioritizing criteria including the additional user requirements, the user location, and the one or more appropriate unweighting systems. In some embodiments, a criterion related to the one or more appropriate unweighting systems is a highest prioritized criterion. The generating can comprise a) determining whether at least a portion of criteria including the additional user requirements, user location, and the one or more appropriate unweighting systems match at least a subset of features of an unweighting system site; b) omitting a lowest priority criteria from the at least a portion of criteria including the additional user requirements, the user location, and the one or more appropriate unweighting systems to create a prioritized criteria set if there is no match using the at least a portion of the criteria; c) determining whether the prioritized criteria set matches at least a subset of features of an unweighting system site; and d) repeating steps b and c until the prioritized criteria set matches at least a subset of features of an unweighting system site. Providing user system characteristics can comprise providing at least one of a desired result or medical condition. The matching step can further comprise comparing the at least one of a desired result or medical condition with past workout data of other users' having a same desired result or medical condition and determining one or more suggested workouts based on the comparing. The matching step can further comprise determining unweighting system sites capable of providing the one or more suggested workouts. In some embodiments, the suitable unweighting system sites change over time as the user progresses towards a goal or in recovery. The method can further comprise scheduling an appointment for the user at a particular unweighting system site. The method can further comprise creating a workout protocol or modifying pre-programmed workout protocols and attaching the protocol to the appointment. Attaching the protocol to the appointment can override any system-generated protocol. The method can further comprise providing the user's information, the information comprising at least one of the following characteristics: age, weight, gender, location, desired result, current medical condition, height, lift access requirements, therapist access requirements, therapy history, past workout information, and user type, wherein user type comprises at least one of an athlete, a casual user, a rehabilitation user, and a chronic user; analyzing the user's information based, at least in part, on aggregate information in a database comprising other users' information and associated past workout session data including duration, speed, incline, and unweighting level used during workouts; and generating a suggested workout routine including duration, speed, incline, and unweighting level to be used during a workout based on the comparing of the user's information to the other users' information. The method can further comprise allowing payment for a future appointment.
In some embodiments, a system for finding an available and appropriate unweighting system site is provided. The system comprises a user interface for providing a user location and one or more user system criteria to identify an appropriate unweighting system, the user system criteria comprising at least one of a user type, the user type comprising at least one of an athlete, a casual user, a rehabilitation user, and a chronic user, a medical condition, a desired result, and an unweighting system access need; a processor comprising instructions for matching the user system criteria with one or more appropriate unweighting systems based on unweighting system features comprising type of unweighting system, unweighting provided, access provided, and analysis capability, and generating one or more suggested unweighting system sites based on compatibility of the unweighting system sites with the user location and the one or more appropriate unweighting systems. The system can comprise a database of aggregate user information and related workout data. The system can be connected to one or more unweighting systems. In some embodiments, an access need comprises at least one of a need for lift assistance and need for a physical therapist on site. In some embodiments, the user interface is configured for providing additional user requirements, the additional user requirements comprising desired time slot, desired day of the week, and insurance requirements. The processor can comprise instructions to match the one or more appropriate unweighting systems with the additional user requirements.
In some embodiments, a method of using an unweighting system is provided. The method comprises downloading a workout routine to an unweighting system, the workout routine comprising a desired duration, speed, incline, and level of unweighting; identifying a user to the unweighting system; performing the workout routine; and recording performance data during the workout routine in the unweighting system. The method can further comprise connecting the unweighting system to a network. The method can further comprise uploading the performance data to the network. The method can further comprise providing user or therapist feedback to the unweighting system. User feedback can comprise feedback regarding at least one of satisfaction with the workout routine, overall mood and level of pain. Therapist feedback can comprise at least one of observations of the workout routine and rating of user progress. In some embodiments, identifying the user comprises providing user information or providing an identifier configured to access user information through the unweighting system. An appropriate workout routine can be selected based on user information. In some embodiments, the appropriate workout routine is selected based on reviewing past workout routines and performance data of other users sharing one or more user characteristics. The method can further comprise adjusting the downloaded workout routine. The method can further comprise sending performance data to at least one of a doctor, and insurance provider, and a patient file. The method can further comprise sending at least one of performance data, user feedback, and therapist feedback to an aggregate user database. In some embodiments, the method further comprises adjusting future unweighting workouts based on the performance data, user feedback, or technician feedback. The method can further comprise assessing user performance after a workout session to determine whether to modify workout parameters or scheduling.
In some embodiments, an unweighting usage system is provided. The system comprises an unweighting system; a user interface configured to allow identification of a user to the system; and a processor comprising instructions for downloading a workout routine to the unweighting system, the workout routine comprising a desired duration, speed, incline, and level of unweighting, and recording performance data from the workout routine in the unweighting system.
In some embodiments, the system is connected to a network. The user interface can be configured to allow input of user or therapist feedback. User feedback can comprise feedback regarding at least one of satisfaction with the workout routine, overall mood and level of pain. Therapist feedback can comprise at least one of observations of the workout routine and rating of user progress. The system can be connected to a database comprising aggregate user information and related workout data.
In some embodiments, a category 1 DAP is provided. The system comprises a positive pressure chamber with a seal interface configured to receive a portion of a user's body and form a seal between the user's body and the chamber, wherein the system is appropriate for use by users requiring no assistance to use the system.
In some embodiments, a category 2 DAP system is provided. The system comprises a positive pressure chamber with a seal interface configured to receive a portion of a user's body and form a seal between the user's body and the chamber, wherein the system is appropriate for use by users requiring moderate assistance to use the system.
In some embodiments, a category 3 DAP system is provided. The system comprises a positive pressure chamber with a seal interface configured to receive a portion of a user's body and form a seal between the user's body and the chamber, wherein the system is appropriate for use by users requiring full assistance to use the system.
In some embodiments, a method of finding an available and appropriate DAP system site is provided. The method comprises identifying a user; providing a user category, the user categories comprising category 1, comprising users requiring no assistance, category 2, comprising users requiring moderate assistance, and category 3, comprising users requiring full assistance; and matching, using a processor, the user to one of a plurality of categories of DAP systems based on appropriateness of the DAP category to the user category.
In some embodiments, a method of finding an available and appropriate DAP system site is provided. The method comprises identifying a user; providing a user location; providing a user category, the user categories comprising category 1, comprising users requiring no assistance, category 2, comprising users requiring moderate assistance, category 3, comprising users requiring full assistance; matching the user to an appropriate DAP system category comprising one of a plurality of categories of DAP systems based on appropriateness of the DAP system category to the user category; and generating, using a processor, one or more suggested DAP system sites based on proximity of a DAP site to the user location and availability of the appropriate DAP system category at a DAP site.
In some embodiments, providing a user category further comprises providing at least one of a user type, the user type comprising at least one of an athlete, a casual user, a rehabilitation user, and a chronic user, a type of medical condition, a desired result, and a DAP system access need, the DAP system access needs comprising a need for lift assistance and a need for a physical therapist; and matching, using a processor, the at least one of the user type, the type of medical condition, the desired result, and the DAP system access need to a user category. The method can further comprise matching, using a processor, the at least one of the user type, the type of medical condition, the desired result, and the DAP system access need to a user category. The matching step can comprise matching the at least one of the user type, the type of medical condition, the desired result, and the DAP system access need to a DAP system category.
In some embodiments, a method of finding an available and appropriate DAP system site is provided. The method comprises identifying a user; providing a user location; providing a DAP system category, the DAP system categories comprising category 1, comprising systems providing no assistance, category 2, comprising systems providing moderate assistance, category 3, comprising systems providing full assistance; and generating, using a processor, one or more suggested DAP system sites based on proximity of a DAP site to the user location and availability of the appropriate DAP system category at a DAP site.
In general, in one embodiment, an integrated unweighted gait training system, includes an unweighting system comprising a computer controller, a gait measurement system in communication with the controller, and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the integrated unweighting gait training system.
This and other embodiments can include one or more of the following features. In one aspect, the unweighting system can be a differential air pressure unweighting system. In another aspect, the unweighting system can be a non-DAP unweighting system. In a further aspect, the non-DAP unweighting system can be a support frame type non-DAP unweighting system. In an alternative aspect, the non-DAP unweighting system can be a curved arch type non-DAP unweighting system. In yet another aspect, the non-DAP unweighting system can be an unweighting arch type non-DAP unweighting system. In still another aspect, the non-DAP unweighting system can be a monocolumn type non-DAP unweighing system. In one aspect, the non-DAP unweighting system can be a cantilevered type non-DAP unweighting system. In another aspect, the gait measurement system can further include an enclosure, a pair of sensors supported by the enclosure and positioned such that when the enclosure is coupled to a treadmill of the integrated unweighting system a portion of the tread is within the detectable range of the pair of sensors, and a processor in communication with the pair of sensors and having computer readable instructions to receive and process an output from the pair of sensors and to perform calculations related to obtaining gait parameters based on the input from the sensors. In a further aspect, the processor can perform calculations to obtain tread belt speed, time of foot impact and left/right foot indication.
In general, in one embodiment, a self-contained gait feedback device for detecting motion of a user on a treadmill includes an enclosure, a pair of sensors supported by the enclosure and positioned such that when the housing is coupled to the treadmill a portion of the tread is within the detectable range of the pair of sensors, a processor supported by the enclosure and in communication with the pair of sensors and having computer readable instructions to receive and process an output from the pair of sensors, and a display in communication with the processor supported by the disclosure.
This and other embodiments can include one or more of the following features. In one aspect, the self-contained feedback device can include the computer readable instructions to receive and process an output from the sensors and can further include performing calculations related to obtaining one of more gait parameters based in part on the output from the pair of sensors. In another aspect, the self-contained feedback device can include the computer readable instructions to receive and process an output from the sensors and can further include outputting the one of more gait parameters to the display. In a further aspect, the self-contained feedback device can include the display and can further include a processor having computer readable instructions for receiving and performing calculations related to obtaining one of more gait parameters based in part on the output from the pair of sensors. In an alternative aspect, the self-contained feedback device can include the computer readable instructions of the processor in the display and can further include outputting the one of more gait parameters on the display. In yet another aspect, the processor can be adapted and configured to provide clock signal synchronized sensor output data from the pair of sensors. In still another aspect, the processor can be adapted and configured to provide clock signal synchronized sensor output data from the pair of sensors. In one aspect, the sensors can be IR sensors, optical mouse sensors, laser sensors, proximity sensors, or light sensors. In another aspect, the display can be a PC, a tablet or a smart phone. In a further aspect, communication with the display can be wired or wirelessly. In an alternative aspect, the display can be in communication with the processor supported by the enclosure. In yet another aspect, the self-contained feedback device can further include an unweighting system positioned to provide controlled unweighting of a user of the treadmill, the unweighting system can have a computer controller in communication with the processor. In still another aspect, the display can be adapted and configured to provide real-time feedback to a user of the unweighting system. In one aspect, the unweighting system can be a differential air pressure unweighting system. In another aspect, the unweighting system can be a non-DAP unweighting system. In a further aspect, the non-DAP unweighting system can be a support frame type non-DAP unweighting system. In an alternative aspect, the non-DAP unweighting system can be a curved arch type non-DAP unweighting system. In yet another aspect, the non-DAP unweighting system can be an unweighting arch type non-DAP unweighting system. In still another aspect, the non-DAP unweighting system can be a monocolumn type non-DAP unweighing system. In still another aspect, the non-DAP unweighting system can be a cantilevered type non-DAP unweighting system.
In general, in one embodiment, an integrated differential air pressure assisted gait training system includes a differential air pressure system having a computer controller, at least one gait measurement or indication system in communication with the computer controller, and a computer readable database stored within or accessible to the computer controller comprising collected DAP system data from the differential air pressure system and gait system data from the at least one gait measurement or indication system
This and other embodiments can include one or more of the following features. In one aspect, the DAP system data can include one or more of pressure setting and control, calibration data, system type, auxiliary systems, exercise system controls. In another aspect, the gait system data can include video, user worn sensor or equipment sensor. In a further aspect, the computer readable database can further include synthesized data from at least one of unweighted system data or gait system data. In an alternative aspect, the synthesized data can be triggered from another data stream. In still another aspect, the synthesized data can be processed data by manipulating one or more data streams. In one aspect, the synthesized data can be calculated data by comparing or relating two or more data streams. In another aspect, the synthesized data can include using algorithms to produce outcomes of one or more data streams. In a further aspect, can further include a display in communication with the computer controller adapted and can be configured to provide real-time feedback to a user of the differential air pressure system. In an alternative aspect, the system can further include video input in database. In yet another aspect, the video data stored can be collected based on a trigger from another component or device of the integrated system. In still another aspect, the database can be accessible to computer controller or accessible to the controller via wired or wireless communication. In one aspect, the system can include at least one gait measurement or indication system and can further include an enclosure, a pair of sensors supported by the enclosure and positioned such that when the enclosure is coupled to a treadmill of the integrated unweighting system a portion of the tread can be within the detectable range of the pair of sensors, and a processor supported by the enclosure and in communication with the pair of sensors and having computer readable instructions to receive and process an output from the pair of sensors and to perform calculations related to obtaining gait parameters based on the input from the sensors.
In general, in one embodiment, a method of training an individual to improve or alter walking or running mechanics by unweighting includes preparing the individual for training in a differential air pressure environment provided by a differential air pressure system, performing a training routine with the individual to improve or alter walking or running mechanics while the user is experiencing unweighting by the differential air pressure system, simultaneously measuring one or more of a user gait parameter or a user biomechanical parameter during the performing step, and collecting the one or more measured user gait parameter or measured user biomechanical parameter under instructions from a controller of the differential air pressure system.
In general, in one embodiment, a method of training an individual to improve or alter walking or running mechanics by unweighting includes preparing the individual for training in a non-differential air pressure environment provided by a non-differential air pressure system, performing a training routine with the individual to improve or alter walking or running mechanics while the user is experiencing unweighting by the non-differential air pressure system, simultaneously measuring one or more of a user gait parameter or a user biomechanical parameter during the performing step, and collecting the one or more measured user gait parameter or measured user biomechanical parameter under instructions from a controller of the non-differential air pressure system.
This and other embodiments can include one or more of the following features. In one aspect, the preparing step can further include the user accessing the differential air pressure environment and initiating the training without assistance. In another aspect, the preparing step can further include the user accessing the differential air pressure environment without assistance and initiating or performing the training with assistance. In a further aspect, the assistance during performing the training can be provided by a person. In an alternative aspect, the assistance during performing the training can be provided automatically by the differential air pressure system. In yet another aspect, the collecting step can further include collecting the individual's heart rate and a treadmill incline measurement. In still another aspect, the collecting step can further include collecting a signal from a heart rate monitor worn by the individual. In one aspect, the collecting step can further include collecting data from a gyroscopic sensor or an accelerometer sensor worn by the patient. In another aspect, the one or more parameters of the user's gait or biomechanics can be one or more of: a stride length, a ground reaction force, a lateral movement of a knee, an angle of a knee, an angle of an ankle, a strike pattern of a forefoot, a strike pattern of a heel, a muscle activation pattern, and a movement symmetry.
In general, in one embodiment, a method of providing integrated differential air pressure assisted gait training includes unweighting the user in an integrated differential air pressure system, performing a therapy routine with the user, collecting under control of the integrated differential air pressure system controller output data from a plurality of components of the integrated differential air pressure system during the unweighting step and the performing step, and recommending a user action for gait correction based on one or more of the output data from the collecting step.
This and other embodiments can include one or more of the following features. In one aspect, the output data can include synthesized data. In another aspect, the collecting step can further include a continuous output data stream, a nearly continuous output data stream, a segmented output data stream, or a synthesized output data stream from the integrated differential air pressure system. In a further aspect, the method can further include storing the output data in a database. In an alternative aspect, the database can contain DAP and gait system data corresponding to a user's progress through a continuum of care. In yet another aspect, the continuum of care can range from immobile, to partially mobile, to fully mobile. In still another aspect, the method can further include comparing the data to data from a device in another segment of the continuum of care. In one aspect, the data from a device from another segment can be gait data collected from a leg worn actuator. In another aspect, the data can be gait data collected from full mobility measurement system. In a further aspect, the recommending step can permit connection of alteration of a parameter of the differential air pressure system or user gait change to real time feedback.
In general, in one embodiment, a self-contained biometric sensor system for detecting motion of a user on a treadmill including an enclosure, a pair of sensors supported by the enclosure and positioned such that when the housing is coupled to a treadmill a portion of the tread is within the detectable range of the pair of sensors, and a processor in communication with the pair of sensors and having computer readable instructions to receive and process an output from the pair of sensors and to perform calculations related to obtaining gait parameters based on the input from the sensors.
This and other embodiments can include one or more of the following features. In one aspect, the processor can be adapted and configured to provide clock signal synchronized sensor output data from the pair of sensors. In another aspect, the sensors can be IR sensors, optical mouse sensors, laser sensors, proximity sensors, or light sensors. In a further aspect, the self-contained biometric sensor system can further include a display in communication with the processor. In an alternative aspect, the display can be a PC, a tablet or a smart phone. In yet another aspect, the display can further include a computer readable code adapted and configured to determine one or more gait parameters based on the processor output. In still another aspect, communication with the display can be wired or wirelessly. In one aspect, the self-contained biometric sensor system can further include an accelerometer attached to the treadmill and configured to provide an output to the processor. In another aspect, the self-contained biometric sensor system can further include an acoustic sensor positioned to detect a footfall sound and configured to provide an output to the processor. In a further aspect, the self-contained biometric sensor system can include the processor computer readable instructions for providing a real-time measurement of a plurality of gait parameters for a user on the treadmill. In an alternative aspect, the plurality of gait parameters of a user on a treadmill can be one or more of speed, cadence, left/right stride length, left/right stride time, foot placement phase asymmetry and stride time jitter.
This and other embodiments can include one or more of the following features. In one aspect, gait measurement or parameters can be provided to the system from a self-contained biometric sensor system that provides accurate, real-time measurement of a plurality of gait parameters of a user on a treadmill within the range of the sensors of the system.
In general, in one embodiment, a system for providing differential air pressure assisted gait training includes a differential air pressure system comprising a computer controller, a gait measurement system in communication with the controller, and a display in communication with the computer controller adapted and configured to provide real-time feedback to a user of the differential air pressure system.
In another aspect, the gait measurement system can be a self-contained biometric sensor system having a computer controller adapted and configured to collect gait data. In a further aspect, there are computer readable instructions in the computer controller of the self-contained biometric sensor system which provides drawing edits on a display. In an alternative aspect, the computer readable instructions in the computer controller which provides for visual indicia on top of a video output. In yet another aspect, the display can be adapted and configured to implement user provided drawings using a touch screen. In one aspect, the display or a touch screen in communication with the system controller can be within reach of the user. In another aspect, the real time feedback to the user of an integrated gait training system can be provided in a representation including a graphic feedback as to the user's gait symmetry. In a further aspect, the real time feedback to the user can be a display of synthesized data. In an alternative aspect, the synthesized data can be triggered from another data stream. In yet another aspect, the synthesized data can be processed data by manipulating one or more data streams. In still another aspect, the synthesized data can be calculated data by comparing or relating two or more data streams. In one aspect, the synthesized data can further include using algorithms to produce outcomes of one or more data streams.
In another aspect, during a user's operation of an integrated gait training system a display output can be changed by a trigger from a sensor or component in a gait measurement system. In a further aspect, the display output can be changed to provide an indication of the user's unweighted assisted force asymmetry data. In an alternative aspect, the display output can be changed to provide an indication of the user's unweighted cadence asymmetry data. In yet another aspect, the display output can be changed to provide an indication of the user's unweighted upper body phase coordination data.
In still another aspect, the display output can be changed. In one aspect, the real time feedback can include an arrow oriented to indicate to the user an indication of a detected force asymmetry. In a further aspect, the real time feedback can include an arrow oriented to indicate to the user an indication of a detected cadence asymmetry. In an alternative aspect, the real time feedback can further include an arrow oriented to indicate to the user an indication of unweighted assisted force asymmetry data.
In yet another aspect, the gait measurement system can further include a camera, a ground force sensor, an inertial sensor on the user's leg, and an inertial sensor on the user's hips.
In still another aspect, the gait measurement system can further include an EEMG sensor and an inertial sensor. In one aspect, the gait measurement system can further include a user sensor In another aspect, the user sensor can be on or implanted in a user. In a further aspect, the user sensor can be an instrumented or a marked article worn by the user. In an alternative aspect, the user sensor can be a prosthesis, an exoskeleton, an active EEM, a passive EEM, a biofeedback device, an instrumented or marked pair of shoes, an instrumented or marked pair of pants, an instrumented or marked shirt, an instrumented or marked article worn by the user. In yet another aspect, an equipment sensor can further include a belt sensor, a force sensor, a feet tracking sensor, or a self-contained biometric sensor adapted and configured to obtain gait parameters. In still another aspect, the gait measurement system can further include a user sensor and an equipment sensor.
In one aspect, the gait measurement system can further include a video camera. In another aspect, the gait measurement system can include one or more of an instrumented treadmill, a biological sensor for muscle activity, and a video system for monitoring and analyzing gait mechanics.
In a further aspect, the system can further include an output device for communication to a user of an integrated unweighting training system that can be one or more of a visual output device, an audible output device or a tactile device.
In an alternative aspect, the gait measurement system can provide a user's left and right heel strike data and a user's hip rotation accelerometer data to the computer controller.
In yet another aspect, an output of the computer controller sent to the display can provide an indication of unweighting upper body phase coordination data. In still another aspect, the gait measurement system can provide a user's left and right load cell contact time data and the matching belt speed data to the computer controller. In one aspect, an output of the computer controller sent to the display can provide an indication of unweighting cadence asymmetry data. In another aspect, a user's left and right load cell force data can be matched with a clock signal data in the computer controller. In a further aspect, an output of the computer controller sent to the display can provide an indication of unweighted assisted force asymmetry data. In an alternative aspect, the differential air pressure system can include a category 1 system, a category 2 system, or a category 3 system. In yet another aspect, the gait measurement system can be adapted and configured to monitor and provide data related to user force asymmetry, user cadence asymmetry or user upper body phase coordination. In one aspect, processing can include applying a patient specific factor, a calibration factor or a metric associated with the user to a portion of the data stream. In another aspect, the collected data can include left and right load cell force data matched with a clock signal to provide an indication of unweighted assisted force asymmetry data.
In a further aspect, the unweighted assisted force asymmetry data can be provided to the display or a feedback indicator. In an alternative aspect, the display output can be based on or representing a portion of the limbs of the user within the differential air pressure system. In yet another aspect, the display output can further include markings to indicate desired gait motion. In still another aspect, the display output can further include a real time overlay. In one aspect, the display output can be triggered by an equipment sensor or a sensor worn on the user.
In another aspect, the display output can be a triggered limited time duration video. This and other embodiments can include one or more of the following features. In one aspect, feedback provided to a user can further include one or a variety of types of biofeedback providing in conjunction with the integrated gait therapy system. In another aspect, the biofeedback can be an audible feedback signal triggered to when a user is to perform a move.
In a further aspect, the biofeedback can be an electronic stimulation sequence that starts a muscle firing sequence in the user. In an alternative aspect, the biofeedback can be a visual cue and an audible sensory stimulator triggered in synchrony with the therapy performed by the integrated unweighting and gait training system. In yet another aspect, biofeedback can include the stimulation of designated and associated action groups to help with training of a targeting muscle group. In still another aspect, providing biofeedback can include a step of causing electronic stimulation controlling one or more muscle groups as well as mechanical apparatuses that work to augment the function of one or more muscle groups the stimulation. In one aspect, the targeted stimulation area can be a muscle group. In another aspect, the targeted muscle group can be a tendon group or area. In a further aspect, while raising a leg activating a vibrator acting on a flexor and associated tendons in the lower hamstring area of the leg. In an alternative aspect, the biofeedback can include providing on or more sensory stimulators triggered in synchrony with the therapy. In yet another aspect, the sensory stimulator can provide an electrical stimulation, a vibration stimulation or another tactile stimulation. In still another aspect, the therapy can include feedback for force, cadence or phase coordination. Wherein the therapy includes training for desired cadence, training cadence or footfall pattern.
In general, in one embodiment, there is a patient worn data sensor, such as for example a shoe based sensor system for collecting and storing or transmitting data appropriate to the type of sensor to the integrated unweighted gait training system In one aspect, the integrated unweighting gait system receives the patient worn sensor data and integrates the patient worn sensor data from or collected by the patient worn sensor into a feedback loop to unweight a patient to achieve a desired gait. Thereafter, optionally, is the step of capturing additional patient worn sensor data. Thereafter the step of providing a biofeedback signal to the user based upon patient worn sensor inputs is performed when the user is using the patient worn sensor in an environment outside of the integrated unweighting gait training system. Thereafter, in some embodiments, there is a step of during an additional unweighted training session the patient worn sensor data from an environment outside of the integrated unweighting gait training system is used as part of the data in a subsequent unweighted gait therapy treatment session. In one specific exemplary aspect the patient worn sensor is a shoe sensor. In other exemplary embodiments, the patient worn sensor is any of the patient worn sensors described herein or as is appropriate for any of those listed in
This and other embodiments can include one or more of the following features. In one aspect, the feedback loop can further include providing biomechanics feedback to the user for biomechanics modification.
In still other variations to an integrated gait training system, the gait measurement or parameters are provided to a controller or processor the integrated gait training system from a self-contained biometric sensor system that provides accurate, real-time measurement of a plurality of gait parameters of a user on a treadmill within the range of the sensors of the system. In one aspect, the plurality of gait parameters of a user on a treadmill are: speed, cadence, Left/Right Stride Length, and Left/Right Stride Time. In still other aspects, the plurality of gait parameters of a user on a treadmill further comprising foot placement phase asymmetry and stride time jitter.
In still another aspect there is provided a method of determining tread belt speed using an embodiment of the self-contained biometric sensor system described herein. In one specific embodiment, the sensors of the self-contained biometric sensor system are positioned over the treadmill belt so that reflectivity of the belt surface under the sensor(s) can be measured. In one specific embodiment, the sensors are an infrared emitter/detector pair (sensor). Next, applying a strip of reflective material of a precise, known length to the treadmill belt. The applying step is performed so that reflectivity of the belt surface changes dramatically while the strip is under the sensor. The type of strip and placement will vary depending upon the specific sensor type and placement on the treadmill. Next, using sensor output signals in conjunction with microprocessor clock timestamp a period of high reflectivity is used to determine the treadmill speed. In one example, if a one-foot strip of reflective material takes one second to pass under the sensor, the speed of the tread belt is 1 foot/second, or approximately 0.68 miles per hour. In further embodiments configured for higher treadmill speeds, once the system has been calibrated to the known length marker, front to front or rear to rear edge detection can also be used for greater accuracy for a given sampling rate. The method may further include input from a foot fall or foot impact sensor such as an accelerometer, load cell or acoustic sensor.
This and other embodiments can include one or more of the following features.
In one aspect, the operations of the integrated system during a user therapy session can include at least one user action recommendation or system control function related to using synthesized data.
In another aspect, the at least one action related to control using synthesized data can include the use of unweighting system data or gait system data triggered from another data stream.
In a further aspect, the at least one action related to control using synthesized data can include the use of processed unweighting system data or gait system data by manipulating one or more data streams.
In an alternative aspect, the at least one action related to control using synthesized data can include the use of calculated unweighting system data or gait system data produced by comparing or relating two or more data streams.
In yet another aspect, the at least one action related to control using synthesized data can include the use of algorithms to produce outcomes of one or more unweighting system data streams or gait system data streams
In general, in one embodiment, a method of providing integrated unweighting assisted gait training for a user having impaired walking biomechanics includes unweighting the user in an appropriate unweighting system, performing a therapy routine with the user, collecting data under control of a controller or a computer processor of the appropriate unweighting system from a plurality of components of the integrated differential air pressure system during the unweighting step and the performing step, and analyzing one or more of the output data from the collecting step to determine whether to adapt the performing step. Thereafter, determining to adapt the performing step wherein an adaptive step or an adjustment step comes from a therapist, from the system or as part of a data controlled therapy. In still other aspects, the step of analyzing is done by person or by the controller of an unweighting system. Still further, after the analyzing step, optionally, there follows a step of continuing the performing step without adapting the therapy routine. Still further, after the analyzing step there follows a step of continuing the performing step after adapting the therapy routine. Other optional steps include: providing the user with feedback regarding how the user's impaired walking biomechanics are changing; repeating the unweighting, performing, collecting and analyzing steps to progressively re-train the user for walking or running with proper biomechanics; or repeating the unweighting, performing, collecting and analyzing steps to progressively proceed from a partial unweighting environment during the unweighting step to a full weight bearing environment during the unweighting step.
In one aspect, the unweighting step can be adapted and configured to provide a partial unweighting environment specific to the rehabilitation of a patient diagnosed with a disease or an injury. In another aspect, the unweighting environment can be adjusted to achieve a symmetrical walking pattern for the patient. In a further aspect, the unweighted environment can be adjusted by the user. In an alternative aspect, the unweighted environment can be adjusted by the differential air pressure system according to a predetermined protocol. In yet another aspect, the collecting step can be initiated by detecting a heel strike and triggering a video stream capture.
In still another aspect, the video capture can run for a set time limit. In one aspect, a loop recorder can be used in conjunction with a high definition video stream. In another aspect, the collecting step can further include using a timing offset to trigger the capture of a portion of the high definition stream in the loop just prior to the heel strike reading. In a further aspect, the collecting step can further include storing the data stream that, optionally, can be stored for an additional timing factor after heel strike. In an alternative aspect, there is a step of cutting down the size of the collected video stream to that portion synchronized with a trigger event. In yet another aspect, there is a step of providing one or more of visual feedback, audible feedback or tactile feedback based on the analyzing step. In still another aspect, the providing step can be performed by a therapeutic stimulator. In one aspect, the providing step can be performed by a tactile stimulator, an electrical stimulation or a vibration triggered in synchrony with the therapy.
In still other aspects of the various embodiments described herein, the system processor or controller of an integrated gait training system or the processor of a self-contained biometric sensor system contains computer readable instructions adapted and configured according to system configuration for receiving, collecting and processing as appropriate under a common time stamp the data provided from the multiple data streams of the integrated gait training system or the self-contained biometric sensor system.
In still further additional aspects, the system processor or controller of a gait training system or the processor of a self-contained biometric sensor system is adapted and configured for collection of simultaneous, synthesized data from one or more components of the gait training system or the self-contained biometric sensor system. In some further aspects, the integrated gait training system includes an unweighting system. In one embodiment, the unweighting system is a differential air pressure unweighting system. In still another embodiment, the unweighting system is a non-differential air pressure unweighting system. In still further embodiments the non-DAP unweighting system is a support frame type non-DAP unweighting system or a curved arch type non-DAP unweighting system, or an unweighting arch type non-DAP unweighting system, or a monocolumn type non-DAP unweighing system or a cantilevered type non-DAP unweighting system.
In still other aspects of the various embodiments described herein, the system processor or controller of an integrated gait training system or the processor of a self-contained biometric sensor system contains computer readable instructions adapted and configured for storing, in a computer readable database stored within or accessible to the processor, the collected, synchronized or synthesized data of the unweighting system and the gait system. In some aspects, the collected, synchronized or synthesized data includes, depending upon system configuration and therapy performed data of one or more of: pressure setting and control, calibration data, system type, auxiliary systems, exercise system controls, video, user worn sensor or equipment sensor, synthesized data triggered from another data stream, synthesized data from processed data from manipulating one or more data streams, synthesized data calculated by comparing or relating two or more data streams, or, optionally, synthesized data obtained using algorithms to produce outcomes of one or more data streams. In still other aspects, collected, synchronized or synthesized data is displayed, output or provided to provide real-time feedback to a user of the system. In still further aspects, there are computer readable instructions for synthesizing the system by integration of independent data streams collected into another set of data or stream of data used in conjunction with the therapy or training performed using the system. In still other aspects, collected, synchronized or synthesized data is derived from the type of patient receiving therapy and the specific system selected for his patient category (i.e., class 1, 2 or 3). In some aspects, the type of patient or system is one factor in determining the type of data synthesis applied to a specific patient therapy session or course of therapy. In still other aspects, collected, synchronized or synthesized data from one component is used to indicate the relevance of a subset of data from another component or source. It is to be appreciated that the resulting data or data stream can be presented in real time, or packaged in a way to inform another person or system or process of the state of the patient.
In still other embodiments any of the above systems or methods are performed on cloud connected medical treadmill software system having a treadmill exercise system having a computer controller with a computer readable memory medium and computer controlling instructions within the memory; the computer readable memory medium containing one or more software applications having computer readable instructions for performing a function within the memory of the computer controller or via communication with a remote server to perform one or more of: authenticating a user to access patient information on a touch-screen interface in communication with the treadmill exercise system; searching for a particular patient using one or more patient search features adapted and configured for preventing the identification of other patients or users stored in the memory accessible to the treadmill exercise system or for preventing the display of protected health information of other patients or users.
In one aspect of the above embodiments performed using a medical treadmill system, one or more software applications is configured to collectively perform one or more of the steps of: establishing a patient profile; entering protected health information from the patient, searching for existing patient records with patient identification shielding, initiating an exercise therapy or diagnostic session with said patient; displaying real-time or near real-time treadmill metrics and analysis tools; or collecting treadmill session data and communicating to remote server.
In still other further aspects of using a cloud connected medical treadmill software system as described herein there is also a secondary verification of identity is performed using video capture or biometrics.
In still other embodiments any of the above systems or methods are performed on cloud connected medical treadmill software system, the step of selecting of a patient record from a database within the medical treadmill memory or in a remotely accessed database further comprises the steps of: searching for said patient name by entering the letters of the patient's first name; delaying the presentation of any search results accessed from the remote server until three letters have been entered; differentiating between similar search results by displaying the results obtained by the searching step to include the patient's first name, initial letter of the patient's last name, and the patient's birth month and day. In yet another aspect, a comparison of said patient's outcome to normative data matching a single or multitude of characteristics of similar users passes through a filter to ensure a minimum number of matching records. In yet a further aspect, the cloud connected medical treadmill software system has a database or is in communication with a database for storing stores information in an activities table that indicates any access, modification or utilization to the system. In yet other aspects, the cloud connected medical treadmill software system as described above includes steps for the integration of exercise data with varied levels of body weight support through differential air pressure or harnessing is pushed into the electronic medical record through an application programming interface. In yet an additional aspect, the cloud connected medical treadmill software system described herein wherein patient information is pulled from the electronic medical record through an application programming interface to compare to exercise data with varied levels of body weight support through differential air pressure or harnessing. In another aspect, there is a cloud connected medical treadmill software system as described herein that also includes a differential air pressure system adapted and configured for use with the medical treadmill and the differential air pressure system is used for the treatment of conditions that benefit from the reduction in load bearing. In another aspect, the cloud connected medical treadmill software system as detailed herein wherein subjective metrics can be input into the system and embedded into the exercise session data which may include one or more of: a pain scale indicating current pain being experienced by the user of the treadmill; a Level of perceived exertion of the user on the treadmill on a scale of 6 to 20 or 10 point scale; or goal for the exercise session including level of unweighting to achieve pain-free walking running or other exercises performed on the treadmill.
In still other embodiments any of the above systems or methods are performed on cloud connected medical treadmill software system adapted and configured for use with an exercise prescription software system having a software application or group of interactive software applications contained in computer readable instructions within the memory of a computer controlled exercise system or stored within a remote server computer memory accessible to the computer control system of the exercise system via a communication system, the computer readable instructions for authenticating a user using said software application and said remote server prior to permitting access to patient information using a touch-screen interface in communication with the computer controlled exercise system. In another aspect the exercise prescription software system, the software application contains computer readable instructions adapted and configured for performing one or more steps of: establishing a patient user account; establishing an association of a payments means to said patient user account; providing an prescription of a specific treatment modality or programmed session in part, in conjunction with or in whole, by a medical professional or automated software algorithm; initiating an exercise therapy or diagnostic session on the computer controlled exercise system with or without supervision from a medical professional; displaying real-time or near real-time treadmill metrics and analysis tools based on information collected from the use of the computer controlled exercise system; collecting treadmill session data and communicating said session data to a remote server; or reporting of periodic updates or final outcome at the completion of prescribed treatment.
In still other embodiments any of the above systems or methods are performed on cloud connected medical treadmill software system, wherein the software system includes computer readable instructions for a patient to perform a financial transaction for services provided and payment is distributed through the remote server to a medical professional, equipment owner or software system owner. In still another aspect, the cloud connected medical treadmill software system includes computer readable instructions wherein an outcome of a single exercise session or a set of exercise sessions is reported back to a medical professional or entity via accessing the remote server. In still another aspect the software system includes computer readable instructions for an outcome of a single exercise session or a set of exercise sessions to be reported back electronically to a medical professional or entity with an electronic payment related to the level of improvement made by the patient. In still another aspect of the cloud connected medical treadmill software system includes computer readable instructions for an outcome of a single exercise session or a set of exercise sessions to be electronically reported back to a group of medical professionals and an electronic payment is distributed according to one or a combination of: the payment being evenly distributed among multiple medical professionals or a portion of the payment being sent to a prescribing medical professional or a portion of the payment being sent to an ancillary care team professional. In still another aspect, the cloud connected medical treadmill software system includes computer readable instructions for a third party to electronically submit a payment for a prescribed exercise session or set of sessions prescribed by a health care provider. In another aspect, the software system includes computer readable instructions for a third party to electronically submit payment following completion of a prescribed exercise session or set of sessions based on improvement in metrics measured by the software system. In yet another aspect, the cloud connected medical treadmill software system includes computer readable instructions for a third party to electronically submit payment for a preventative exercise session or set of sessions requested by a third party or the paying third party based on user meeting a single or multitude of health risk criteria. In still another aspect, the cloud connected medical treadmill software system includes computer readable instructions enabling a treadmill owner and a medical professional to distinguish availability of a treadmill to be used for the medical professional's therapy sessions or open availability for unsupervised sessions.
In still other embodiments any of the above systems or methods are performed on cloud connected medical treadmill software system wherein the software system includes computer readable instructions for scheduling use of a treadmill system wherein said scheduling is performed by the user or a medical professional on a computer, a mobile device or a wearable device that accesses the remote server to check available treatment times and allows the user or medical profession to reserve available time. In yet other additional embodiments, there is a software application, or multiple of software applications including computer readable instructions, said software applications and said instructions within the memory of an exercise system in electronic communication with a remote server, the software system including computer readable instructions for said software application and remote server to collect and analyze treadmill performance metrics using a software program with computer readable instructions adapted and configured to perform one or more of: remotely requesting treadmill performance data from a single machine or a multiple of machines in real-time or at predetermined intervals; aggregating data collected from one or more exercise machines into a database; or analyzing the collected data for specific trends between variables. In yet still further embodiments of any of the above, there is a cloud connected medical treadmill software system that includes computer readable instructions wherein predictive algorithms alert the treadmill owner, customer support team or parties responsible maintenance of increased risk of service or part replacement. In still another embodiment, the cloud connected medical treadmill software system includes computer readable instructions wherein the treadmill owner, customer support team or parties responsible for maintenance can access the remote server to view expected life of the whole treadmill unit or specific parts of the unit based on part performance data. In yet an additional aspect of any of the above, the cloud connected medical treadmill software system includes computer readable instructions wherein a warranty may be purchased or provided and adjusted as a result of timely maintenance, preventative actions, and corrective actions resulting from system generated warnings.
The novel features of the invention are set forth with particularity in the claims that follow. A better understanding of the features and advantages of the present invention will be obtained by reference to the following detailed description that sets forth illustrative embodiments, in which the principles of the invention are utilized, and the accompanying drawings of which:
Exemplary DAP systems, components and operation are illustrated and described in U.S. Pat. No. 7,591,795, U.S. Patent Application Publication No. US-2011-0098615-A1, and U.S. Pat. No. 8,464,716. The commercially available AlterG P200 and M320 models are typical of existing DAP systems that are designed for physical therapists and athletic trainers. These systems comprise an exercise device, typically a treadmill, a flexible bag that applies air pressure to the lower portion of the user's body, an airtight garment which interfaces between the flexible bag and the user, and a height adjustable cockpit structure to set the height of the bag top surface to accommodate different height users.
Aspects of various embodiments of inventions described herein generally relate to systems and methods for collecting and analyzing data to aid in scheduling and managing treatment and diagnostic information provided by assisted training systems such as unweighting systems as well as other personal assistance systems. More particularly, embodiments of the invention relate to management of treatment resources and schedules such that patients in need of therapeutic treatment can access available appropriate treatments (e.g., treatments, assessments) from unweighting and assistive training systems regardless of type of treatment or location and timing of treatments. Further embodiments of this invention relate to multimodality therapy involving unweighting, personalized assistive, and various types of other forms of rehabilitation therapy, and relate to the scheduling and integration of multiple modes of therapy such as alternating time on an unweighting system to improve walking with flexibility, stretching or strength training protocols. Such multiple modes of therapy can integrate input and data captured from the unweighting therapy or assisted therapy session, patient-provided information, information from the medical records system of the therapy center, or information captured from other therapeutic rehab equipment such as bicycles, or strength testing equipment. Other embodiments of the invention relate to collecting data indicative of a user's gait and can further involve selecting or adapting treatment based on the gait measurements. Still further embodiments of the invention comprise collecting data and analyzing the data to determine whether the user has any balance or concussive impairment.
There are available various unweighting systems suited to training users or patients in different categories based on a number of factors such as, for example, patient ability to access the machine, the specific training needs of the patient and the physical capabilities of the patient as well as whether the patient requires assistance during training and if so to what degree. The systems include air pressure unweighting systems and mechanical unweighting systems.
Air pressure unweighting systems can include differential air pressure (DAP) systems and non-DAP systems. A number of differential air pressure systems for various levels of patient assistance before, during or after use are described in the non-provisional patent application entitled “Differential Air Pressure Systems and Methods of Using and Calibrating Such Systems for Mobility Impaired Users” application Ser. No. 13/423,124 filed on Mar. 16, 2012 (“the '124 application”) and U.S. Provisional Application No. 62/049,307, filed Sep. 11, 2014, titled “Unweighted Training Systems and Methods of Using and Calibrating Such Systems for Mobility Impaired or Obese Users” (“the '307 application”). The entireties of these applications are incorporated herein by reference.
Other air pressure unweighting systems are described at U.S. Provisional Application No. 62/013,999, filed Jun. 18, 2014, titled “Differential Air Pressure Treadmill System” and U.S. Provisional Application No. 62/024,916, filed Jul. 15, 2014, titled “Pressure Chamber and Lift for Differential Air Pressure System”, the disclosures of which are incorporated herein by reference in their entireties.
Mechanical unweighting systems can include curved arch unweighting systems, unweighting arch systems, and cantilevered systems, among others, and are described at “SUPPORT FRAME AND RELATED UNWEIGHTING SYSTEM,” filed Mar. 14, 2013, application No. 61/784,387, attorney no. 10189-708.100; “CURVED ARCH UNWEIGHTING SYSTEMS,” application no. 61/772,964, filed Mar. 5, 2013, attorney no. 11889-709.100; “UNWEIGHTING ARCH SYSTEMS,” application no. 61/773,019, filed Mar. 5, 2013, attorney no. 11889-710.100; “MONOCOLUMN UNWEIGHTING SYSTEMS,” application no. 61/773,037, filed Mar. 5, 2013, attorney no. 11889-711.100; and “CANTILEVERED UNWEIGHTING SYSTEMS,” filed Mar. 14, 2013, application No. 61/784,510, attorney no. 11889-713.100, each of which is incorporated by reference in its entirety.
In addition, this application may be related to operation of any of the unweighting systems or auxiliary systems or patient interface embodiments described in any of the following patent applications, each of which is herein incorporated by reference in its entirety: U.S. Provisional Application No. 61/785,402 filed on Mar. 14, 2013; International Application No. PCT/US2014/028032 filed on Mar. 14, 2014. U.S. Pat. No. 7,591,795 issued on Sep. 22, 2009; U.S. application Ser. No. 12/236,459 filed on Sep. 23, 2008; U.S. application Ser. No. 12/236,465 filed on Sep. 23, 2008; U.S. application Ser. No. 12/236,468 filed on Sep. 23, 2008; International Application No. PCT/US2006/038591 filed on Sep. 28, 2006; U.S. Provisional Application No. 60/999,102 filed on Oct. 15, 2007; U.S. Provisional Application No. 60/999,101 filed on Oct. 15, 2007; U.S. Provisional Application No. 60/999,061 filed on Oct. 15, 2007; U.S. Provisional Application No. 60/999,060 filed on Oct. 15, 2007; U.S. application Ser. No. 12/761,316 filed on Apr. 15, 2010; U.S. application Ser. No. 12/761,312 filed on Apr. 15, 2010; International Application No. PCT/US2008/011832 filed on Oct. 15, 2008; International Application No. PCT/US2008/011807 filed on Oct. 15, 2008; U.S. Provisional Application No. 61/178,901 filed on May 15, 2009; U.S. application Ser. No. 12/778,747 filed on May 12, 2010; International Application No. PCT/US2010/034518 filed on May 12, 2010; U.S. Design Application No. 29/337,097 filed on May 14, 2009; U.S. Provisional Application No. 61/454,432 filed on Mar. 18, 2011; U.S. application Ser. No. 13/423,124 filed on Mar. 16, 2012; International Application No. PCT/US12/29554 filed on Mar. 16, 2012; U.S. Pat. No. 5,133,339 issued on Jul. 28, 1992; U.S. Provisional Application No. 61/651,415 filed on May 24, 2012; U.S. Provisional Application No. 61/785,317 filed on Mar. 14, 2013, titled “METHOD OF GAIT EVALUATION AND TRAINING WITH DIFFERENTIAL PRESSURE SYSTEM”; International Application No. PCT/US2014/029578 filed on Mar. 14, 2014; U.S. Provisional Application No. 61/784,387 filed on Mar. 14, 2013, titled “SUPPORT FRAME AND RELATED UNWEIGHTING SYSTEM”; International Application No. PCT/US2014/029002 filed on Mar. 14, 2014; U.S. Provisional Application No. 61/772,964 filed on Mar. 5, 2013; International Application No. PCT/US2014/020741 filed on Mar. 5, 2014; U.S. Provisional Application No. 61/773,019 filed on Mar. 5, 2013; U.S. Provisional Application No. 61/773,037 filed on Mar. 5, 2013; International Application No. PCT/US2014/020863 filed Mar. 5, 2014; U.S. Provisional Application No. 61/773,048 filed on Mar. 5, 2013; International Application No. PCT/US2014/020934 filed on Mar. 5, 2014; U.S. Provisional Application No. 61/784,664 filed on Mar. 14, 2013 titled “UNWEIGHTING GARMENTS”; U.S. Provisional Application No. 61/784,510 filed on Mar. 14, 2013, titled “CANTILEVERED UNWEIGHTING SYSTEMS”; International Application No. PCT/US2014/028694 filed on Mar. 14, 2014; U.S. Provisional Application No. 62/049,307 filed on Sep. 11, 2014, titled “UNWEIGHTED TRAINING SYSTEMS AND METHODS OF USING AND CALIBRATING SUCH SYSTEMS FOR MOBILITY IMPAIRED OR OBESE USERS”; U.S. Provisional Application No. 62/013,999 filed on Jun. 18, 2014, titled “DIFFERENTIAL AIR PRESSURE TREADMILL SYSTEM”; U.S. Provisional Application No. 62/042,916 filed pm 7/15/14, titled “PRESSURE CHAMBER AND LIFT FOR DIFFERENTIAL AIR PRESSURE SYSTEM”; U.S. Provisional Application No. 62/049,149 filed on Sep. 11, 2014, titled “UNWEIGHTING GARMENTS”, each of which are incorporated by reference its entirety.
A top cover (not shown) is placed above the counterforce springs 103. As the height of the cockpit assembly 101 is adjusted the vertical rollers 187 and horizontal rollers 188 maintain the guide roller assembly within the left and right stanchions and assist in even application of the forces from the counterweight spring 103.
In one embodiment, there is a latch-able pressure resisting cockpit assembly 101 where all latches and trigger mechanisms are connected by a cable or cables. In one aspect, the latch-able pressure resisting cockpit assembly where all latches and trigger mechanisms are connected by a cable or cables and the cable tension and play are adjusted by in-line, threaded length adjusters.
In some embodiments, one or more safety switches or indicators is provided to indicate to the user or to a DAP control system, by way of example and not limitation, a vertical position or height of engagement, a horizontal position or in motion or lateral placement indication and/or a latched condition or indication of one or more latch used in the system. In one embodiment, the latch indicators are for at least one latch of a pair of the the latches on one side of the cockpit support. In one embodiment, the latch indicators are for both or all latches of the latches on one side of the cockpit support. In one embodiment, the latch indicators are for one latch of a pair of latches on of latches on both sides of the cockpit support. In one embodiment, the latch indicators are for both or all latches of the latches on both sides of the cockpit support. Each of the latch variants described herein may also be applied to other cockpit latching configurations and locking devices such as those described below in
The view of
Still further details and alternatives of the various embodiments of the DAP unweighting bag described herein may provide designs where side window heights between pleated sections are less than the spacing between the cockpit supports and the cockpit user opening. In still other configurations, there is a DAP unweighting bag where pleated sections are attached to cockpit supports in a vertically slide-able manner. Cleats, clips, rollers and the like may be attached for this purpose.
Still further modifications and alternatives are possible for a more stream lined or low step height DAP pressure bag profile.
The DAP systems employing the inventive integrated treadmill base have a lower step height than DAP systems having a pressure control system and cockpit surrounding a standalone treadmill. This is especially important for low mobility users. In addition, the use of center bag and cockpit support stanchions with removable hard rails may permit the embodiments described herein to be assembled and tested and then partially dissembled for shipping. By lowering the overall height of the DAP system for shipping and installation, installation techniques may be simplified since a requirement for a high or wide door opening is no longer required. Shipping of DAP systems is also potentially less expensive since the lowered height of the system lends to the use of smaller shipping containers.
Service cover 151 protects users from non-user serviceable components. Blower cover 152 allows user safe access to user replaceable blower 155. Air pressure used to unweight the user is maintained by airtight base frame 157. A front pressure wall 153 separates the pressurized volume (i.e., within the DAP bag 116) from the unpressurized service areas. A rotating front roller seal 154 is provided around the front drive roller 168 and is better seen in the views of
Non user-serviceable components comprise a treadmill motor 160, control electronics 161, and an incline motor assembly 162. In a separate user accessible compartment, separated by bulkhead 97, blower motor 155 is easily exchanged when required. Bulkhead connector 163 in pressure bulkhead 153 allows electrical signals to pass between the pressurized and non-pressurized portions of the base. An electrical receptacle 99 is provided in bulkhead 97 for use with blower assembly 155 or other components. A coupling 98 is provided between the pressure system blower and the pressurized portion of the base. In one embodiment, the blower output is ported directly into the pressurized portion of the base via a connection in pressure bulkhead 153. Additionally or optionally, the coupling 98 may include a valve operated under control of the pressure control system as part of providing the desired level of unweighting assistance.
Returning to
A rotating shaft seal 154 maintains a sliding contact with front roller 168 in order to maintain air pressure within the pressurized chamber. Belt access door 175 provides access to drive belt 169 for installation and removal. The drive belt 169 is best seen in
Existing DAP systems incline the treadmill independently from the lower body pressure chamber. To reduce cost and complexity, embodiments of the integrated base DAP systems incline both.
To improve comfort at high incline angles, alternate cockpit orientations may be provided or cockpit leveling or level sensing mechanisms may be provided. In the illustrative embodiment of
Considering
Returning to
The strap based cockpit system 200 also illustrates a 2 connection point coupling between the cockpit ring and the DAP bag 116. In the illustrative embodiments of
DAP system 200 also shows how a single integrate upper railing 236 may be used to support the top section of the cockpit. In the illustrated embodiment, top railing 236 is attached to the left and right rear portion of the base 150. The forward support of the upper railing 236 is provided via connection to the front railing 242. In contrast to other railing embodiments described herein, front railing 242 is attached to the left and right front portions of the base 150. In one embodiment the upper railing 236 and the front railing 242 are connected via a plate or other suitable joining mechanism. In another embodiment, the user interface 149/touch screen 186 is positioned between the railings 236, 242 and may include fittings to attach the railings as shown in
The DAP system 200 utilizes two separate latching actuators, enabling a therapist on either side of the system to assist a user in unlocking, positioning, and locking the cockpit (see trigger 104 and dual trigger latching actuator 98 in
The side arm 87 is attached to the cockpit frame 135 and supports the locking pin and roller assembly 387. Also shown in this view are the cover 304, stanchion 102 and bag folding cleat channel 191. Fore and aft rollers 321, 331 and lateral guide rollers 322, 330 are also shown in this view in relation to stanchion 102. Additional details of the guide rollers and other configurations may be appreciated in the views of
Compliant User Cockpit
During walking and especially during running, even on a treadmill, users naturally move up, down, side to side, fore, and aft. Because of this, it is important for comfort that the user not be tightly restrained in these axes. Laterally, it is ideal for resistance to build gradually so that the user receives tactile feedback as to their position within the cockpit without experiencing discomfort. To accomplish this, the transition between the rigid cockpit frame and the user connection is carefully designed. Furthermore,
Low Cost Precision Alignment
Unweighting systems typically need to establish an adjustable cockpit height that can be locked in place once the desired position is reached. In pressurized systems, it is important that locking pins engage on both sides of the cockpit in order to distribute the forces applied to the cockpit by the pressurized system. In systems with discrete locking intervals and a cockpit that is held in a largely horizontal orientation, it is necessary that the alignment of the locking holes be such that the locking pins can easily engage with both right and left sets of locking holes simultaneously.
Since mounting holes in base 157 are loosely positioned after punching, bending, and welding of the base 157,
Stanchion 102 alignment is also important for reliable engagement and disengagement of locking pins 113 used to secure the cockpit during use of the DAP system. Misalignment of the locking pins to the locking plate 37 may be accommodated by enlarging or modifying the shape of the locking pin apertures 114 in locking plate 37.
Exemplary Computer System
The exemplary computer system 600 may comprise an exemplary client or server computer system. Computer system 600 comprises a communication mechanism or bus 611 for communicating information, and a processor 612 coupled with bus 611 for processing information. Processor 612 may in some variations be a microprocessor, but is not limited to a microprocessor.
System 600 further comprises a random access memory (RAM), or other dynamic storage device 604 (referred to as main memory) coupled to bus 611 for storing information and instructions to be executed by processor 612. Main memory 604 also may be used for storing temporary variables or other intermediate information during execution of instructions by processor 612.
Computer system 600 also comprises a read only memory (ROM) and/or other static storage device 606 coupled to bus 611 for storing static information and instructions for processor 612, and a data storage device 607, such as a magnetic disk or optical disk and its corresponding disk drive. Data storage device 607 is coupled to bus 611 for storing information and instructions.
Computer system 600 may further be coupled to a display device 621, such as a cathode ray tube (CRT) or liquid crystal display (LCD), coupled to bus 611 for displaying information to a computer user. An alphanumeric input device 622, including alphanumeric and other keys, may also be coupled to bus 611 for communicating information and command selections to processor 612. An additional user input device is cursor control 623, such as a mouse, trackball, trackpad, stylus, or cursor direction keys, coupled to bus 611 for communicating direction information and command selections to processor 612, and for controlling cursor movement on display 621.
Another device that may be coupled to bus 611 is hard copy device 624, which may be used for marking information on a medium such as paper, film, or similar types of media. Another device that may be coupled to bus 611 is a wired/wireless communication capability 625 to communication to a phone or handheld palm device, a LAN network, a remote network or a cloud based computer network or other distributed or shared computing and data storage system.
Note that any or all of the components of system 600 and associated hardware may be used in the inventive systems described herein. However, it can be appreciated that other configurations of the computer system 600 may include some or all of the devices. Certain variations of system 600 may include peripherals or components not illustrated in
Certain embodiments may be implemented as a computer program product that may include instructions stored on a machine-readable medium. These instructions may be used to program a general-purpose or special-purpose processor to perform the described operations. A machine-readable medium includes any mechanism for storing or transmitting information in a form (e.g., software, processing application) readable by a machine (e.g., a computer). The machine-readable medium may include, but is not limited to, magnetic storage medium (e.g., floppy diskette); optical storage medium (e.g., CD-ROM); magneto-optical storage medium; read-only memory (ROM); random-access memory (RAM); erasable programmable memory (e.g., EPROM and EEPROM); flash memory; electrical, optical, acoustical, or other form of propagated signal (e.g., carrier waves, infrared signals, digital signals, etc.); or another type of medium suitable for storing electronic instructions.
Additionally, some embodiments may be practiced in distributed computing environments where the machine-readable medium is stored on and/or executed by more than one computer system. In addition, the information transferred between computer systems may either be pulled or pushed across the communication medium connecting the computer systems.
The digital processing device(s) described herein may include one or more general-purpose processing devices such as a microprocessor or central processing unit, a controller, or the like. Alternatively, the digital processing device may include one or more special-purpose processing devices such as a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA), or the like. In an alternative embodiment, for example, the digital processing device may be a network processor having multiple processors including a core unit and multiple microengines. Additionally, the digital processing device may include any combination of general-purpose processing device(s) and special-purpose processing device(s).
Networked System of Treadmill for Data Collection
A data collection and analysis system for use with unweighting systems is provided. Unweighting systems can be configured to capture data, such as a user's therapy history, goal, current condition, user type, age, medical history, etc. Analysis of an aggregate collection of such data from multiple users can allow an unweighting system or a therapist to generate a suggested treatment protocol or adapt a protocol already in use. Additionally, analysis of an aggregate collection of data can indicate whether certain assessments are indicated, such as a gait, balance, or concussion assessment. Such assessments collect data indicative of impairments from the user. This data can be compared against a normal threshold range, which can be generated from aggregate user data.
System 6100 of
In some embodiments, a method of unweighting system treatment management is provided. The method comprises providing a user's information, the information comprising at least two of the following characteristics: age, weight, gender, location, desired result, current medical condition, height, lift access requirements, therapist access requirements, therapy history, past workout information, and user type, wherein user type comprises at least one of an athlete, a casual user, a rehabilitation user, and a chronic user; analyzing, using a processor, the user's information based, at least in part, on aggregate information in a database comprising other users' characteristics and associated past workout session data including duration, speed, incline, and unweighting level used during workouts; and generating, using a processor, a suggested workout routine including duration, speed, incline, and unweighting level to be used during a workout based on the comparing of the user's information to the other users' information.
Mobile device 6110 may communicate with network 6150 via any suitable wired or wireless communication method and includes mobile application 6112. Mobile device 6110 may include an instrumented medical treadmill or an unweighting training system as described herein including mechanical unweighting systems and differential air pressure systems. Mobile device 6110 may receive input from a user and execute one or more programs to administer one or more tests, exercise routines, challenges, prescribed protocols, recommended protocols including unweighting therapy protocols and recommendations to a user, provide test results to application server 6170, and receive test set data, account data, and other data from application server 6170. The user may be a patient of a physician associated client 6130. The terms user and patient may be used interchangeably herein for purposes of explaining the operation of the system 6100. Mobile application 6112 resides in memory on mobile device 6110 and may be executed to allow a user to setup and login to an account with a network service (e.g., see
Client device 6120 may include network browser 6122 and be implemented as a computing device, such as for example a laptop, tablet, mobile phone, smart phone, desktop, workstation, or some other suitable computing device. Network browser 6122 may be a client application for viewing content provided by an application server, such as application server 6170 via network server 6160 over network 6150.
Network 6150 may facilitate communication of data between different servers, devices and machines. The network may be implemented as a private network, cloud based network, distributed network, public network, intranet, the Internet, or a combination of these networks. Network server 6160 is connected to network 6150 and may receive and process requests received over network 6150. Network server 6160 may be implemented as one or more servers implementing a network service. When network 6150 is the Internet, network server 6160 may be implemented as one or more web servers. The network 150 may also be a cloud computing network.
Application server 6170 communicates with network server 6160 via network server 6160 and data store 6180. Application server 6170 may also communicate with other machines, wearable devices, biometric measurement devices and gait devices as described herein. Application server 6170 may host a server application 6172, and other software modules. Application server 6170 may be implemented as one server or multiple servers. Server application 6172 may reside on application server 6170 and may be executed to store, retrieve and transmit test set data, analyze test set results, and manage alerts.
Data store 6180 may be accessed by application server 6170. Data store 6170 may store data, process data, and return queries received from application server. Data stored on application data store 6180 may include user account data, user test data, user test results, analysis of the results such as trend data, and other data.
Clients 6130 and 6140 and network browsers 6132 and 6142 may be similar to client 6120 and network browser 6122, except that clients 6130 and 6140 may be associated with a physician and a third party, respectively, rather than a user (patient). Exemplary third parties include, for example, a drug company, a joint prosthesis company or manufacturer, a health care payer, an accountable care organization, an insurance company, a physical therapist, an athletic trainer or a hospital.
First, with an understanding of the different types of unweighting systems available, the patient type to use the system, and the desired therapy to be performed, select an appropriate system to perform therapy with a user. For example, focusing on DAP systems, a number of systems types for categories 1, 2 and 3 are provided in the '124 application. A category 1 system includes for example
Next, customize the system to this patient. Customization may take on many forms such as based on the specific type or configuration of the unweighting system being used, personal calibration techniques, or inputs of specific patient parameters, or protocols or patient specific training goals.
Next, the user performs the therapy in the system according to the input program or protocol.
Next, the system will collect gait and unweighting and other system parameters while therapy is ongoing.
Next, the system will analyze the collected data.
Next, determine whether to adapt the therapy based on the prior analysis step. One result of this step is to adapt the therapy and continue to perform the therapy as adapted. Another result is to continue to perform therapy without adapting the therapy based on the analysis.
One example of the format of a data table for an integrated differential air pressure and gait measuring and training device is shown in
Simultaneous data collection refers to the general process of collecting data from multiple data streams under a common time stamp. It is to be appreciated that embodiments of the various inventive unweighting gait training systems described herein are adapted and configured for this purpose. However, the various inventive systems are also adapted and configured to synthesize the data that is being collected from the systems, subsystems, accessories, and sensors as shown in the exemplary data table (See
In still another example, a self-contained biometric sensor system—referred to herein as GaitBox—is another form of Gait system sensor that may be employed according to the various Gait techniques described herein. The GaitBox provides accurate, real-time measurement of basic gait parameters on any treadmill. The basic gait parameters are: Speed (distance divided by time); Cadence (number of steps per minute); Left/Right Stride Length (distance between successive impacts of same foot, e.g. left-foot-impact to left-foot-impact); and Left/Right Stride Time (time between successive impacts of same foot). Other additional gait parameters include, by way of example and not limitation, foot placement phase asymmetry (right to left step time compared with left to right step time) and stride time jitter (variation in timing between subsequent footfalls on the same or opposite sides). Additional details of an embodiment of GaitBox may be appreciated by reference to U.S. Provisional Patent Application 62/054,311 titled, “SYSTEMS AND METHODS FOR MANAGEMENT AND SCHEDULING OF DIFFERENTIAL AIR PRESSURE AND OTHER UNWEIGHTED OR ASSISTED TREATMENT SYSTEMS” filed on Sep. 23, 2014, (the “'311 application”) in which a GaitBox is shown in the '311 application on a treadmill frame in at least
Other more advanced types of synthesis are also performed by embodiments of the inventive system. In another exemplary system a data stream that is being collected may be processed prior to or in conjunction with recording. Here, processing may take on a number of different forms such as applying a patient specific factor such as a calibration factor or other metric associated with a specific patient. One example of a kind of data synthesis is shown in
Another example of a kind of data synthesis is shown in
Another example of a kind of data synthesis is shown in
Another form of processing may be the application of use factors, calibration settings or auxiliary component settings applied to data streams based on the kinds of specific systems, auxiliary systems or components utilized in a specific training scenario. In this way, data can be collected in a raw form as well as with normalization factors to standardize data collected from different sensors, components or patient settings. Thusly, data collected for different patients using similarly configured systems but with different components may have data collected that will permit the patient specific data to be compared and/or aggregated for wide spread data collection. Consider this specific example. A normalizing factor would be the factor used where a CAT 2 training system with a shoe sensor from vendor A and a post-surgery knee male in Toledo and a CAT 2 training system with a shoe sensor from vendor B with a post-surgery knee male in Topeka will each record the respective patient's own raw data but there will be corresponding normalized data that eliminates the variations (if any) between the sensors from different shoes and different vendors. In a similar way, where needed based on specific circumstances, all or some of the components in the system (See
In still another type of data synthesis, the data from one or more data streams may be used in calculations or further processing to yield a determination or outcome related to the input data streams or according to the therapy being undertaken. One example is the use of an algorithm to perform transformations of one or more data streams. The output of these functions will be stored along with the other recorded data. In still another example, an algorithm may include various weighting factors to a data stream such that some data may be processed in a manner consistent with the type of therapy being delivered. In still further specific examples, a processing algorithm may include fuzzy logic or artificial intelligence using a computer processor adapted and configured for that purpose.
Current state of the art therapy uses unweighting technology to unweight a patient while the physical therapist provides feedback by viewing the patient as they work out. Some systems incorporate a video feedback element that allows the patient to view themselves from various angles. By using only one type of feedback, there may be optimal treatments that are left unidentified by the therapist. By integrating multiple measurement systems with an unweighting system, synthesizing the data streams, and presenting the information in an appropriate way, a therapist would have the ability to utilize information that has only been able to be gathered in a laboratory setting in the past. The therapist would have the ability to then analyze and more effectively set workouts for the patient to improve recovery time.
In one example, a patient a using a DAP system with cameras, ground force sensors, and inertial sensors on the user's legs and hips. In this view, the pressure bag that normally covers the frame and defines the pressure chamber is removed to permit the interior details of the pressure chamber and the instruments contained therein to be observed. Throughout the workout, the system takes data about the user's gait, speed, incline, and effective bodyweight. That information is synthesized and given to the therapist during or at the end of the workout. In one alternative, the therapist can then watch a video that shows the patient's movements, speed, weighting, and the angles of the hips at each point. The therapist can use that information to more effectively set the next workout, leading to better recovery times. Due to the placement of the sensors, biomechanics points such as the user's hips, that are not visible through the enclosure of a current DAP system, can be measured, tracked and evaluated. Exemplary patient and sensor arrangement may be appreciated though reference to FIGS. 5, v, c, and d in the '311 application.
Although the operations of the method(s) herein are shown and described in a particular order, the order of the operations of each method may be altered so that certain operations may be performed in an inverse order or so that certain operation may be performed, at least in part, concurrently with other operations. In another embodiment, instructions or sub-operations of distinct operations may be in an intermittent and/or alternating manner.
In other additional embodiments, there are provided improvements generally to the field of medical treadmill data security and management, automated payment and referral systems, autonomous rehabilitative protocols and real-time remote machine health monitoring. These improvements are believed to be applicable to and may be implemented on a variety of treadmills and exercise equipment including a wide variety of mechanical unweighting systems and differential air pressure unweighting systems.
Treadmills and other cardiovascular load inducing training equipment have historically used analog interfaces for the display of information and interactivity for adjusting various control settings such as treadmill speed, incline degree, amount of unweighting, and the like during the session. In the systems described herein, remote, networked and/or other cloud connected communication systems may be accessed and utilized in conjunction with the patient tracking systems, touch screen and graphical user interfaces, along with custom application programming interfaces (APIs) and relational databases for the storage of user authentication, data and information.
Conventional treadmill and exercise equipment data has mostly existed in a fitness environment. As such, the user data collected lacks the necessary privacy and security, communication and payment management features required by the medical industry. To date, utilization of cloud connected exercise equipment has been almost non-existent in medical facilities due to privacy and confidentiality challenges to protected health information (PHI) required by the Health Insurance Portability and Accountability Act (HIPAA) and the Health Information Technology for Economic and Clinical Health (HITECH) Act. HIPAA and HITECH define PHI as individually identifiable health information including demographic information such as date of birth and zip code, that: (A) is created or received by a health care provider, health plan, public health authority, employer, life insurer, school or university, or health care clearinghouse; and (B) relates to the past, present, or future physical or mental health or condition of any individual, the provision of health care to an individual, or the past, present, or future payment for the provision of health care to an individual.
The creation of treatment modalities and prescriptive programs by a healthcare professional that address specific indications of medical conditions such as knee replacement, osteoarthritis, stroke, and chronic neurological conditions have not existed in fitness focused treadmills. The digital management of a patient in need of physical medicine and mobility therapy throughout the continuum of care has been a significant barrier to improving patient outcomes. These and other shortcomings of conventional fitness equipment are addressed by the inventive systems described herein.
Additional advantageous capabilities include one or more or a combination of:
In one embodiment, there is described a cloud connected medical treadmill software system. The inventive system provides advantageous and unique approaches to treadmill data security and management, automated payment methodologies and referral systems, autonomous rehabilitative protocols and real-time remote machine health monitoring. Embodiments of the inventive system address the requirements the collection, protection, utilization and communication of personal health information (PHI) collected from a treadmill.
In one aspect, a security and data management system provides a novel approach to treadmill data acquisition and protection including computer implemented methods enabling one or more of patient verification, secure display of patient information, de-identification of patient data for comparison purposes, comprehensive audit trails with notifications for breach isolation and standards for integration of data into the electronic medical record (EMR).
In one aspect, an exercise prescription system provides a software platform including computer implemented methods enabling the creation of a patient record with basic information, the ability to document current health and limitations, the option to recommend a plan of care, the referral of the patient to the system or a specific healthcare provider, the deployment of exercise testing and training modalities with an instrumented treadmill device, the generation of a report with analysis of change in objective physiological or biomechanical metrics, and the direct payment systems to manage exchange of money from the primary parties involved or from third parties responsible for payments.
In still other aspects, there are provided methods for use of exercise as a medical treatment with defined parameters and dosage that can be implemented by a healthcare provider or in an unsupervised session using digital instruction and feedback that concludes with an exchange of money based on the outcome of a single exercise session, a set of exercise sessions or simply for the services provided to support an exercise session. The creation of monetary accounts on the system that support payments into the system for services as well as supporting the withdrawal of funds for services provided or outcomes based achievements of patient functional improvement.
In an additional aspect, there is provided a computer controlled remote tracking system and methods for mechanical and system operation of a treadmill provided via a cellular or Wi-Fi connected cloud infrastructure. The addition of computer controlled remote monitoring machine health provides a robust rehabilitation and medical services platform for optimal efficiency and performance in a medical setting. Continuous and real-time analysis of treadmill operation such as belt speed, load cell consistency, roller wear, motor performance, and differential air pressure metrics such as blower speed, bag inflation levels and the like provide unique monitoring to exercise equipment, specifically differential air pressure treadmills utilized in a medical setting or enabled for proper handling of patient data as described herein. The acquisition of machine health data from multiple unweighting training systems provides a robust performance data set that may be analyzed in a relational or non-relational database to better understand machine operation and write specific algorithms for determining life of the unit, likelihood of service need or part replacement timing.
In one aspect, there is an embodiment of the system utilizing a combination of hardware built into the instrumented treadmill and software designed for the digital interface and peripheral screens. The description of the key features of the security and data management system, the exercise prescription and machine health maintenance are described in detail as an exemplary embodiment, but are not meant as limiting to only the examples and details described.
In one embodiment, the cloud connected treadmill control system includes a user and provider authentication structure that enables either a medical professional supervising a patient session or an individual performing and unsupervised session. Advantageously, the inventive security and data management system and methods enable the use of the system as a medical professional, in a medical setting, where a patient record is being created or found within a cloud connected system where search functions and data transmission are central to functionality. An illustrative user flow supporting this structure is outlined in
Next, the system will require that the user be authenticated. (STEP 3310)
If the user has previously been registered, then the user record may be obtained using a search (STEP 3320). The search parameter requirements and results are shielded (STEP 3325) as described herein. Once the proper user record is identified, the user proceeds to begin the exercise session (STEP 3320).
If the user has not been previously registered or is accessing the medical treadmill as a guest, a new patient record will be created (STEP 3315) before beginning the exercise session (STEP 3330).
During the exercise session, the medical treadmill displays real time metrics and user interaction. Metrics, user inputs and other information as described herein is sent to a server (STEP 3335).
After completion of the exercise session, the system displays the completed session results (STEP 3340), thereafter the exercise session ends (STEP 3345).
Security and Data Management
The establishment of provider accounts to be used in guiding a patient's rehabilitation or supervising an exercise session is a novel concept in the use of treadmills and exercise equipment in the medical system. The requirement of secure access, administrative controls and the ability to securely compare to other users within the constraints of HIPAA are unique in the treadmill and exercise equipment field.
In some embodiments, prior to starting the treatment, the user is identified by the unweighting system as the proper user for the specific treatment. For example, the training device or system may be capable of identifying the individual user, based on some unique ID which is presented to the machine prior to use. The system will know the age, sex, and medical diagnoses (if applicable) of each user. In some embodiments, the system may require that a user who has scheduled time on a machine to identify themselves to the machine (via keypad, RFID, bar/QR code, magnetic card swipe, biometrics, or other identification technology) at the beginning of their scheduled session. This provides confirmation that the user kept the scheduled appointment, ensures that any treatment protocol sent to the machine is used by the intended user, and allows performance data to be attached to that user's treatment history. Where a patient does not have an identification means, the user can create a profile. The training device or system may maintain a profile of each user. In general, users will identify themselves prior to using the system. In some embodiments, a “guest” identification acts as a catch-all for users without a profile. The system will track utilization by individual users and can report on utilization statistics and workout parameters to the healthcare practitioner for medical evaluation, to the user for personal medical and health records and monitoring, and to third parties such as insurance providers or reimbursement agencies for medical reimbursement to the clinic or healthcare practitioner or for compliance verification of activities by the patient associated with medical insurance or wellness program monitoring.
Advantageously, in some embodiments, a patient identification means can help monitor (and encourage) a patient's compliance with a treatment program. The patient's identification means such as an access card may be read by a medical professional during scheduled checkups to monitor the patient's progress. Monitoring progress may also be used to track, monitor, adjust or improve upon a user's progression along the continuum of care as described above.
Provider Secure Ease of Access
Login fatigue is the frustration of maintaining a multitude of passwords for several different systems and is a significant concern with healthcare professionals. The phenomenon is more pronounced in the healthcare field due to large-scale interoperability issues and the significant risk of damages due to security breach. A major barrier to adoption of technology in healthcare is the ease of access of a product and the ability to make the system secure. Another contributing factor to lack of adoption in touch screen offerings is the issue of length of login credentials and the ability to easily mistype characters. When entering a long email address and password, risk of frustration and product abandonment exist with the amount of time it takes to correctly enter the login credentials.
After completion of the above steps, the provider accesses the medical treadmill (step S635). The treadmill in turn connects to the database to verify provider credentials (step 5640). If provider credentials are authentic, the provider is asked to establish a 4-digit pin code (step S645). The system stores the 4-digit pin code locally on the medical exercise equipment memory (step 5650). Once these steps are completed, the provider may access the medical treadmill using a 4-digit pin (step 5655).
In one specific example, once the actions of the account administrator are completed, a new team member (provider) account is established and the new team member is invited to create authentication credentials for the AlterG system. Authentication credentials may include any suitable form of authentication, such as an email address and password. This authentication is stored in the database to allow the new team member to log into the web system, mobile device, or any AlterG treadmill they have access to. The initial creation of a new team member and the assignment of a specific treadmill or group of treadmills, automatically sends the new team members account information to the assigned devices to allow for quick access set-up at first login.
Once the new team member has established authentication credentials, they can log into a treadmill they have been provided access to. During the first login attempt, users designated as “Providers” will be prompted with a screen to allow them to establish a locally stored pin code (See screen shot 3600 in
Patient Image Capture
The security and data management system uses a novel approach to ensure the patient identified within the system matches the actual identity of the user. The patient identification verification process utilizes built-in cameras embedded in the treadmill that takes a picture of the user and attaches it to the exercise session.
The end of session report 3740 may include, for example, custom generated fields for a particular provider or to meet requirements for reporting. In the exemplary end of session report 3740 in
The session ID checks may be provided in a number of different ways in order to provide confirmation that the user who logged into and accessed the exercise routine is actually the same user who is performing that routine in the exercise session. Two exemplary patient identification techniques are illustrated in
In manual ID verification 3780, the beginning image capture 1 is a user image 3760 and ending session image capture 2 is a user image 3765. In this example, the end of session report 3740 would include images 3760, 3765 that is received by a payer (step 3782). There is next a comparison performed of the user images from prior sessions to the images 3760 and 3780. Assuming that the images match the prior images then the ID is verified (step 3786).
In Auto ID verification 3790, the beginning image capture 1 is a user image 3770 and ending session image capture 2 is a user image 3775 each of which may include one or more biometric or other identification tags used in a recognition protocol or method. In this example, the end of session report 3740 would include images 3770, 3775. Next, images from prior sessions are compared to images 3770, 3775 (step 3792). The image comparison proceeds using facial recognition or other appropriate biometric recognition methods (step 3794). The results of the image comparison is provided to the payer (step 3796) and indicated in the end of session report 3740.
In one embodiment, images are captured at the beginning of the session when the user presses “Start Session” and at the end of the session when the user presses “Stop Session” as depicted in
Patient verification is a critical element to ensuring proper programmatic display, progress tracking and payments. The patient verification feature in one embodiment uses the embedded camera on the instrumented treadmill to capture an image of the user to be stored in the exercise session report for review at a later time. The image taken of the user is captured at the beginning of the session and could be periodically captured throughout the session to ensure the same user was active on the device throughout the session. The image capture includes a still frame capture in one embodiment that must be reviewed post session either by a healthcare provider or third party with financial responsibility for the patient. Video could also be used in other embodiments to identify the patient or more automated and real-time features such as facial recognition, retinal scanning or any method of biometric authentication. The secondary authentication process provides an improved method for ensuring patient and/or provider identity that requires visual confirmation or biometrics to prevent fraudulent activity.
Shielded Search
The security and data management system utilizes a novel approach to selecting and displaying a patient's information. The system allows for selection of a patient without identifying numerous other patients who have also used the machine. The key privacy concern is displaying a long list of patient names while a user is standing on the treadmill ready to begin a session. The short-hand search technique allows the provider to search for a patient by inputting two or more letters of the patients name to return results instead of pre-loading results or providing results for all users with the same first letter.
The specific example is illustrated in the search result screen shot 3900 shown in
By implementing customizable options for the number of letters required, each system can create their own level of balance between user experience and privacy while meeting HIPAA standards and keeping patient information private. For example, a health care system may decide that they want to require the entire first and last name to be typed in before returning results on a patient record or they may allow for the complete display of patient's without inputting any search filters.
Selection of patient information on publically displayed digital screen provides a need for balance between protection of patient identity and simplicity of user experience. The current embodiment of the security and data management system deploys a novel shielding process to allow for the visual display of multiple patient names that are similar, and information that allows for the easy distinguishing of patients with similar names, but without providing too much information that would disclose the identity of the patient to someone other than the patient themselves or a provider with approved access to their medical history.
The key features deployed in the current embodiment, are the introduction of delayed search and the presentation of shielded patient identification information. The current embodiment of delayed search requires a minimum of three letters to begin searching for matching patient records, preventing the immediate display of a list of patients sorted alphabetically or by most recent device use. The delayed search requires an additional step of inputting more of the patient's name before displaying search results, and a narrowing of search results as more letters are input. The delayed search provides a specific solution to a publicly displayed treadmill interface where a patient is looking at the screen as a list of patients are presented.
The shielding of specific patient identifiers is a critical solution to the display of patient information to select a patient record. The display of first name and only last initial prevents exposing the full name of the user who is visible as a result of a similar search. The last initial provides enough distinguishing information to make it easy to decide between two users with the same or similar first names, yet a different last name. Additionally, the display of first name, last initial and birthdate (including year), provides an opportunity to identify other users of the system simply by first name and their age. The shielding of “year” in visible date of birth information eliminates the age component to patient identification and allows for an additional metric beyond last initial to distinguish between patients.
Screen shot 4000 in
Normative Comparisons
A key tool for patient evaluation in physical medication rehabilitation is the comparison to other users with similar characteristics. Providing the user's information can comprise prioritizing at least one of the characteristics. The matching step can further comprise a.) determining whether at least a portion of the user's characteristics matches at least a subset of at least one user's of the other users characteristics; b.) omitting a lowest priority characteristic from the at least a portion of the user's characteristics to create a prioritized user information set if step a produces no match using the at least a portion of the user's characteristics; c.) determining whether the prioritized user information set matches at least a subset of at least one user's of the other users characteristics; and d.) repeating steps b and c until the prioritized user information matches at least a subset of the at least one user's characteristics. In some embodiments, analyzing comprises identifying at least one other user sharing characteristics with the user and having a favorable workout outcome. The favorable workout outcome can comprise at least one of user satisfaction, obtaining the desired result and progress towards the desired result. Current medical condition can comprise at least one of original diagnosis, dates of injuries, date or type of illness, date or type of interventions, an indication of rehabilitation progress, and a previous treatment and date of treatment. In some embodiments, therapy history comprises prescribed therapy history, actual therapy history, therapy history on an unweighting system, therapy history using other equipment.
Filters to sort patient characteristics for more refined comparison are useful to be able to compare similar cases, but often lead to very refined searches with only a single comparative user or small group of users. The creation of “re-identification filters” allows the system to maintain anonymity of patient data that has been de-identified. The upholding of patient confidentiality and non-disclosure is a central tenant of the Health Insurance Portability and Accountability Act and is critical to commercialization of cloud-connected technology into the medical market.
Comparison data for a medical device is typically in the form of normative data that has been segmented by certain characteristics such as age, gender, height, weight, medical condition, etc. An exemplary normative comparison 4100 is illustrated in
The current embodiment uses a threshold of 50 users with matching criteria to determine normative comparisons so that individual users cannot be re-identified. The threshold works algorithmically by applying a null response if a request for normative comparison returns a subject number (n value) less than the established threshold. Users are then instructed to broaden their search criteria to allow for a search with enough matching criteria and users to meeting the minimum requirements to prevent re-identification of comparison data.
An example of one embodiment might be the evaluation of a patient with knee osteoarthritis. The patient (or provider) would like to evaluate where the patient stands compared to individual of similar characteristics at the beginning, mid-point and end of a 12-week rehabilitation program. When initially setting up a normative comparison the user selects patient complaining of knee pain, age, level of pain at self-selected walking pace, and zip code. There are only 17 matching results in the system that meet the criteria the user would like to compare. The system identifies that 17 matching results does not meet the criteria for minimum number to minimize risk of re-identification and provides the user with a message indicating the number of matching records does not meet the requirements for normative comparisons. The user then removes the zip code criteria from the search and get 2,357 matching results which allows for the display of average walking speed, session duration, functional score, and level of pain improvement in the 2,357 matching records.
Audit Logs
The access to treadmill data via remote systems is a relatively new concept that provides security concerns for most medical institutions. Strong user authentication is a necessary feature to any medically focused treadmill system, but even with high standards for authentication, accounts can be compromised. An important novel feature is the deployment of an activities tracking table in a relational database to identify every modification, access and utilization that occurs within the system. The activities table provides a high level of oversight into system access in order to identify and isolate potential security breaches or unauthorized access.
The transition of exercise equipment into the medical environment provides a hurdle of high-level access tracking to the system to be able to identify and isolate breaches to the system. The implementation of detailed audit logs of provider and patient access to exercise specific patient data has not been implemented in previous instrumented treadmills. The building of an “activities” table in the relational database provides a structure for collecting interactions with the system that can be presented back to administrators of the system. The activities table allows for segmentation of audit log data to easily identify which records have been accessed or modified.
An exemplary Audit log 4210 depicted in screenshot 4200 of
Data and System Integration
The integration of exercise and physical activity metrics into the electronic medical record used by physicians and hospital systems is a new phenomenon with activity trackers and heart rate monitors beginning to integrate using application programming interfaces (APIs) that connect exercise data repositories to the Electronic Medical Record (EMR). The tracking of data requires the establishment of a user profile that affords for the simplicity of a patient record stored locally and a more robust offering of remotely accessible patient account.
User Profiles
In some embodiments, the storage medium stores a user created account. Each user of the networked unweighting system has an associated secure profile, which contains, for example:
Users can be in the form of Physical Therapists who have accounts to access the system (by facility), patient records that are created by physical therapists to track a patient's progress during treatment and a universal profile, which is the transitioning of a patient record from a static record used by the Physical Therapist to a dynamic record accessible remotely. The transition of a static patient record where data is stored about a patient through the treatment process to a user-owned dynamic profile that exists outside the provider organization structure and can be accessed anywhere by the patient is a novel concept. The hierarchy of user roles and transition of static patient record to dynamic universal profile is described in
System Integration
The integration of specific treadmill data including exercise intensity, walking speed, GAIT and functional performance and specifically how these metrics change throughout a continuum of bodyweight changes with differential air pressure (DAP) into the Electronic Medical Record (EMR) or an EMR intermediary is novel. The analysis and aggregation of DAP Data with a multitude of treadmill specific measures into singular scores or numerical sets of scores that can then be consistently updated into EMR or EMR intermediaries is novel.
The current problem with integration into an intermediary or directly into an EMR system is that standard measures typically include a multitude of measures to analyze progress or change over the course of an exercise session and from session to session within a differential air pressure environment. Singular metrics that consider multiple factors simultaneously, including progression, provide a much simpler form of both integration into EMR and EMR intermediaries, but they also provide a much simpler review for the user themselves. For example, a change in walking speed throughout the first session and from the first session to the last session before discharge provides hundreds of data points before factoring in the impact of varying levels of differential air pressure. An isolated metric that provides a functional score based on walking speed, differential air pressure and other metrics creates a simpler method and process for analyzing progress and communicating progress to an EMR or EMR intermediary.
The present invention provides a simple framework for analyzing progress considering multiple factors including speed, incline, stride length, session duration, symmetry of stride during varying levels of unweighting in differential air pressure environment that can be distilled into a single functional score metric or simple sets of metrics to analyze a multitude of different outcomes. The use of these metrics combined into a single functional score or into a relative pair score such as systolic and diastolic blood pressure or HDL and LDL cholesterol numbers provides simple and comparable objective measure to monitor progress.
Implementation of metrics such as stride symmetry at varying levels of unweighting (ie 1.1/80) into an EMR intermediary for personal review or directly into the EMR provide for a more detailed look at patient function in a manageable data structure. In addition to the two metric approach a third metric could also be added to the “standard comparison formula” in a DAP environment with a pain measure of 0-10 (i.e. 1.1/80/2). The specific metrics that are novel to the DAP environment are not limited to, but include for the purpose of example: stride length, stride symmetry, functional score (combination of multiple GAIT metrics), perceived exertion, pain scale, and torso sway. The collection of these singular or grouping of metrics can also be tied to specific protocols for multiple patients to use and be compared to each other in terms of progress as it relates to their specific injury or condition.
One specific embodiment of the integration of DAP specific metrics into the EMR or an EMR intermediary is the recording of data points specific to knee osteoarthritis. At the first session, or prior to the first session, the patient indicates that they feel knee pain in their right knee while walking. At the first session, the patient begins walking at 100% bodyweight at self-selected comfortable speed and inputs a measure of pain into the in-session interface as depicted in screen shot 4700 in
Exercise Prescription and Self-Guided Therapy
The use of exercise as a prescribed treatment plan for medical conditions ranging from orthopedic injury to chronic neurological impairments is well established. The actual implementation and management of exercise prescription has been severely limited by lack of motivation, accountability and reimbursement. The present invention addresses the major issues with the methodology of prescription of exercise by providing a novel digitally connected system with an instrumented treadmill and method for managing treatment.
The method can further comprise generating a recommended therapy or workout based on a medical guideline. In some embodiments, providing the user's information occurs at a same appointment or workout session as the analyzing and generating steps. In some embodiments, providing the user's information occurs at an earlier appointment or workout session as the analyzing and generating steps. In some embodiments, the generating step comprising generating more than one suggested workout routines.
The current embodiment is a digital system that provides access to physicians and other healthcare providers on a mobile device to assess the patient, document current status and send a referral to another provider or to a specific unsupervised instrumented treadmill. The mobile application (or web application screen shot 4400 depicted in
Goals and Session Metrics
Additionally the system allows either the providers or the individual user to establish goals for their DAP session or for the entire plan of care. The pre-session goals that can be set include any combination of: speed, distance, average percent bodyweight, weight loss, pain free walking, improve walking pattern, reduce fall risk, reduce hypertension, improve blood glucose management, or any number of additional health benefits associated with exercise and exercise in a DAP environment. One embodiment of goals setting is depicted in screen shot 4500 in
Another key feature of the system that is novel from other DAP systems is the ability to track a multitude of sessions metrics over the course of a session on the touch display screen. In the current embodiment the system allows the user to show or hide speed, incline and % bodyweight progress over time to track within-session progress.
Pre-Programmed Workouts
Another exercise prescription feature in the present invention is the utilization of pre-programmed workouts and packages of pre-programmed workouts. Workout programs may be created, edited or developed in a web environment and transferred to a treadmill with a media storage device such as a portable flash drive.
In some embodiments, a method of using an unweighting system is provided. The method comprises downloading a workout routine to an unweighting system, the workout routine comprising a desired duration, speed, incline, and level of unweighting; identifying a user to the unweighting system; performing the workout routine; and recording performance data during the workout routine in the unweighting system. The method can further comprise connecting the unweighting system to a network. The method can further comprise uploading the performance data to the network. The method can further comprise providing user or therapist feedback to the unweighting system. User feedback can comprise feedback regarding at least one of satisfaction with the workout routine, overall mood and level of pain. Therapist feedback can comprise at least one of observations of the workout routine and rating of user progress. In some embodiments, identifying the user comprises providing user information or providing an identifier configured to access user information through the unweighting system. An appropriate workout routine can be selected based on user information. In some embodiments, the appropriate workout routine is selected based on reviewing past workout routines and performance data of other users sharing one or more user characteristics. The method can further comprise adjusting the downloaded workout routine. The method can further comprise sending performance data to at least one of a doctor, and insurance provider, and a patient file. The method can further comprise sending at least one of performance data, user feedback, and therapist feedback to an aggregate user database. In some embodiments, the method further comprises adjusting future unweighting workouts based on the performance data, user feedback, or technician feedback. The method can further comprise assessing user performance after a workout session to determine whether to modify workout parameters or scheduling.
Additionally or alternatively, in various embodiments of the medical treadmill system described herein enable the creation of a pre-programmed workout on a touch-screen device, either the treadmill or DAP system itself as depicted in the current embodiment of
In still other methods enabled by the inventive system, there are additional approaches to creating medically specific sets of workouts. As used herein, a medically specific set or sets of workouts are referred to as a “Plan of Care”.
GAIT Assessment
Another important novel approach are specific features of the present invention is the utilization of GAIT assessment in a DAP environment. In general, in one embodiment, a self-contained gait feedback device for detecting motion of a user on a treadmill includes an enclosure, a pair of sensors supported by the enclosure and positioned such that when the housing is coupled to the treadmill a portion of the tread is within the detectable range of the pair of sensors, a processor supported by the enclosure and in communication with the pair of sensors and having computer readable instructions to receive and process an output from the pair of sensors, and a display in communication with the processor supported by the disclosure.
While desiring not to be bound by theory, it is believed that a patient's biomechanics will change as a result of unweighting in a therapeutic unweighting system due to reduced pain or need for leg strength that the user may not possess due to injury, age, or illness. Further, a patient in such an unweighting environment has greater ability to intentionally change their biomechanics and gait patterns in response to feedback as compared to the ability to change gait patterns in a full body-weight loading environment. This enhanced ability of a patient to modify gait patterns in a unloading environment is a core distinction of the current invention. Due to the greater ability in such an environment to modify gait, therapy in such an environment can be more effective than in other environments when combined with gait measurement systems and feedback systems than such gait training could be without those measurements and feedback systems and can be more effective than training with such feedback in a full-weightbearing environment in which the patient is less able to modify gait patterns. Achieving proper mechanics is an important aspect to proper rehabilitation of gait and motor training. Embodiments of the invention described herein provide systems and methods that are suited to the integration of measurements of gait and biomechanics with level of unweighting. Still further, aspects of the inventive methods described herein provide for specific rehabilitation protocols integrating biomechanics measurements with unweighting which are believed to provide more effective and more precise rehabilitation as compared to conventional visual assessments by the therapist or patient during unweighting rehabilitation and more effective and more precise rehabilitation than with biomechanics measures in a full bodyweight environment or alternate unweighting environment such as a pool or harness in which gait mechanics are significantly altered by the unweighting system.
Discussed is the integration of one or more gait measurement systems for use with an unweighting system. Integrated training systems such as these will provide a greater variety of controlled training and therapy for patients of all patient categories. Impairment to a patient's ability to complete or participate fully in gait training may come from a number of sources. For example, a patient with a neurological disorder may have motor impairment along with muscle weakness. One aspect of off-loading a patient using unweighting systems to reduce the impact of the impairment due to weakness. In another example, a patient recovering from orthopedic surgery may experience pain when exercising with full weight. While this patient may physically be able to modify their gait at full weightbearing where a weak patient may not, the reduction of pain allows for the patient to mentally cope with some necessary mechanical corrections that need to be made. Another aspect of off-loading a patient using the inventive systems described herein permits unweighting the patient to reduce the impact of the impairment due to pain. These are two examples of how an unweighting system with integrated gait capabilities can assist in controllably and reliably removing common barriers to gait training.
Embodiments provide for the integration of an unweighting environment with biomechanics and gait measurements and a range of therapies for gait improvement. Gait training and biomechanics are commonly evaluated in order to assess walking and running dynamics and to assist patients or athletes in improving their mechanics. Embodiments include a range of devices such as instrumented treadmills, biological sensors for muscle activity, and video systems for monitoring and analyzing gait mechanics. One or more of these gait measurement systems are training devices that are integrated with a differential air pressure system to provide a controlled, repeatable unweighting environment for gait and walking or running mechanics. Embodiments of the present invention provide a system to retrain individuals to improve or alter walking or running mechanics by unweighting the individual in a differential air pressure environment and simultaneously measuring one or more parameters of gait or biomechanics such as stride length, ground reaction force, lateral movement of knees, angles of knees and ankles, forefoot or heel strike parameters, muscle activation patterns, or movement symmetry.
In many patients, the parameters described above are suboptimal at full weightbearing walking or running. For example, a patient with recent orthopedic surgery in one lower limb, such as total knee arthroplasty will typically walk with asymmetric motion. In an unweighting environment, such a patient can walk with greater symmetry due to reduced pain. Retraining symmetry in walking can be important in speeding the recovery of function in such a patient and reducing risk of future injury due to the asymmetry of gait in such a patient. Embodiments of the unweighted assisted gait training methods herein provide an effective method of retraining symmetry of mechanics and gait to enable the patient to practice walking symmetrically, providing feedback to the patient when such symmetry is achieved and when it is violated.
One specific aspect of treatment using this methodology is to unweight the patient and measure biomechanics, determine at what level of unweighting the desired mechanics of gait and motion can be achieved, and then provide feedback to the patient, athlete, trainer or physical therapist on an ongoing or periodic basis. Such feedback would enable recognition of proper mechanics and would reinforce more time walking or running with proper mechanics. More time spent walking or running with proper mechanics would retrain muscles in proper motion and would drive neuroplasticity to train such proper motion. Over time, as the desired gait mechanics are achieved with more consistency, the amount of unweighting may be progressively reduced in order to acclimate the user to walking or running in this new method of gait patterns until such patterns are set as new biomechanics at full gravity.
In still further additional treatment methodologies, electrical stimulation of muscles, braces to align joints, powered exoskeletal support, and other established gait training and muscle training methods may be integrated into progressive unweighting and reloading protocols to facilitate the gait training. These standard methods of gait training may be more effective when modified for performance in an integrated gait and differential air pressure environment of unweighting, where proper biomechanics can be achieved more readily for patients than in a full gravity environment.
In one aspect there is provided a differential air pressure and gait training system to improve gait training in patients with impaired biomechanics by enabling the patient to walk or run in a partial unweighting environment with feedback regarding how the patient's biomechanics are changing, so that the patient can retrain walking or running with proper biomechanics and then gradually apply this new training progressively back to a full weightbearing environment.
In another aspect, there is provided an unweighting and gait training system that enables exercise and rehabilitation of patients from disease or injury in a partial unweighting environment with biomechanics and gait feedback to reduce risk of further injury and to enable improvement of the rehabilitation protocols. In one specific example, a patient with hip fracture could exercise and walk through their rehabilitation program at the right level of unweighting to enable symmetrical walking so that they learn to walk properly, rather than learning to walk in a manner that compensates for the injured side and therefore exposes the patient to progressive further injury due to the asymmetrical walking pattern.
First, with an understanding of the different types of unweighting systems available, the patient type to use the system, and the desired therapy to be performed, select an appropriate system to perform therapy with a user. For example, focusing on DAP systems, a number of systems types for categories 1, 2 and 3 are provided in the '124 application. A category 1 system includes for example FIG. 2A of the '124 application. A category 2 system includes for example FIG. 7A of the '124 application. A category 3 system includes for example FIGS. 1A and 19 of the '124 application. A category 4 system includes for example FIG. 19A of the '307 Application.
Next, customize the system to this patient. Customization may take on many forms such as based on the specific type or configuration of the unweighting system being used, personal calibration techniques, or inputs of specific patient parameters, or protocols or patient specific training goals.
Next, the user performs the therapy in the system according to the input program or protocol.
Next, the system will collect gait and unweighting and other system parameters while therapy is ongoing.
Next, the system will analyze the collected data.
Next, determine whether to adapt the therapy based on the prior analysis step. One result of this step is to adapt the therapy and continue to perform the therapy as adapted. Another result is to continue to perform therapy without adapting the therapy based on the analysis.
One example of the format of a data table for an integrated differential air pressure and gait measuring and training device is show in
Simultaneous data collection refers to the general process of collecting data from multiple data streams under a common time stamp. It is to be appreciated that embodiments of the various inventive unweighting gait training systems described herein are adapted and configured for this purpose. However, the various inventive systems are also adapted and configured to synthesize the data that is being collected from the systems, subsystems, accessories, and sensors as shown in the exemplary data table (See
In still another example, a self-contained biometric sensor system—referred to herein as GaitBox—is another form of Gait system sensor that may be employed according to the various Gait techniques described herein. The GaitBox provides accurate, real-time measurement of basic gait parameters on any treadmill. The basic gait parameters are: Speed (distance divided by time); Cadence (number of steps per minute); Left/Right Stride Length (distance between successive impacts of same foot, e.g. left-foot-impact to left-foot-impact); and Left/Right Stride Time (time between successive impacts of same foot). Other additional gait parameters include, by way of example and not limitation, foot placement phase asymmetry (right to left step time compared with left to right step time) and stride time jitter (variation in timing between subsequent footfalls on the same or opposite sides).
A GaitBox is shown on the treadmill frame in
Other more advanced types of synthesis are also performed by embodiments of the inventive system. In another exemplary system a data stream that is being collected may be processed prior to or in conjunction with recording. Here, processing may take on a number of different forms such as applying a patient specific factor such as a calibration factor or other metric associated with a specific patient. One example of a kind of data synthesis is shown in
Another example of a kind of data synthesis is shown in
Another example of a kind of data synthesis is shown in
Another form of processing may be the application of use factors, calibration settings or auxiliary component settings applied to data streams based on the kinds of specific systems, auxiliary systems or components utilized in a specific training scenario. In this way, data can be collected in a raw form as well as with normalization factors to standardize data collected from different sensors, components or patient settings. Thusly, data collected for different patients using similarly configured systems but with different components may have data collected that will permit the patient specific data to be compared and/or aggregated for wide spread data collection. Consider this specific example. A normalizing factor would be the factor used where a CAT 2 training system with a shoe sensor from vendor A and a post-surgery knee male in Toledo and a CAT 2 training system with a shoe sensor from vendor B with a post-surgery knee male in Topeka will each record the respective patient's own raw data but there will be corresponding normalized data that eliminates the variations (if any) between the sensors from different shoes and different vendors. In a similar way, where needed based on specific circumstances, all or some of the components in the system (See
In still another type of data synthesis, the data from one or more data streams may be used in calculations or further processing to yield a determination or outcome related to the input data streams or according to the therapy being undertaken. One example is the use of an algorithm to perform transformations of one or more data streams. The output of these functions will be stored along with the other recorded data. In still another example, an algorithm may include various weighting factors to a data stream such that some data may be processed in a manner consistent with the type of therapy being delivered. In still further specific examples, a processing algorithm may include fuzzy logic or artificial intelligence using a computer processor adapted and configured for that purpose.
Current state of the art therapy uses unweighting technology to unweight a patient while the physical therapist provides feedback by viewing the patient as they work out. Some systems incorporate a video feedback element that allows the patient to view themselves from various angles. By using only one type of feedback, there may be optimal treatments that are left unidentified by the therapist. By integrating multiple measurement systems with an unweighting system, synthesizing the data streams, and presenting the information in an appropriate way, a therapist would have the ability to utilize information that has only been able to be gathered in a laboratory setting in the past. The therapist would have the ability to then analyze and more effectively set workouts for the patient to improve recovery time.
While the method of
That system can be extended to include feedback from other sensors used to capture gait, workout parameters, other physiological measurements, or psychological elements according to specific system, component, therapy or patient requirements. Integrating data from, for example, EEMG sensors and inertial sensors into understandable information would give a depth of information to a patient or therapist to adjust their gait with the assistance of unweighting that does not exist today. Further, in an unweighting environment, such data is more useful to a patient and therapist than it would be in a full weightbearing environment because of the greater ability of the patient to adjust gait mechanics in the unweighting environment. Similarly, the unweighting environment permits greater ability to adjust gait desirably in response to these inputs than does an alternate environment such as pools or harness systems in which the gait measurements would be altered by the forces and restrictions placed on the user by the harness or pool environment and the ability of the user to adjust gait is less in such environments than in an unweighting environment.
Therapists would be enabled to set bounds for how much the workout parameters can change, so as not to cause an injury or overwork the patient. Limitations on particular aspects of the therapy could also be accessed from a database based on research, a physician's recommendations based on the procedure or from a database of comparable patent and/or system configurations therapies and outcomes. Therapists would also be enabled to set specific desired gait parameter changes or targets desired so that the feedback process could be directed by the system to reinforce and enable incremental improvements toward the desired gait mechanics patterns.
In various alternative embodiments, there may be used one or a variety of types of biofeedback integrated into a system with gait measurement, analysis, and unweighting based upon the specific therapy needs of a specific patient or class of patient. For purposes of illustration, exemplary types of biofeedback may include indicators to give the patient a sensation that triggers the patient to act such as an audible alarm when the patient needs to lift their leg, an electronic stimulation sequence that starts a muscle firing sequence to extend the foot, a visual cue and the like. One additional aspect of the embodiment of
In one example, a Differential Air Pressure System having gait correction capabilities integrated with a prosthesis or other proprioceptive feedback or training device. In this specific example, the integration of a differential air pressure system with gait capabilities as described above with machine control capabilities, enables feedback or training using muscle memory motion via an assistance device. Additionally or alternatively, there may be modifications to the control system depending upon the control requirements of the type of motion assist device incorporated into the DAP system.
In still another example related to a sensor of the type worn by a patient, the patient may wear shoes having integrated instrumentation such as, for example, motion sensors, inertial sensors, force sensors and the like. The shoe may store the data collected from the onboard sensors onboard for later incorporation and synchronization with other system collected data. Additionally or alternatively, the shoe may include transmission capabilities to send data from the shoe to a suitable receiver on the system. In this way, data from the shoe(s) used by the patient are included into the simultaneously collected data stream as discussed above. In still another embodiment, the shoe sensor is used to record patient activity while outside of the differential air pressure training system described herein. Data may also be collected from sensors worn outside of the training and integrated with the data collected when using the unweighting system with integrated gait capabilities. This would for example enable the system to determine differences in gait pattern evident while training at partial body weight with the sensor data indicating gait parameters in full body weight locomotion. Still further there is provided access for collection of other exercises conducted in support of the patient training. For example, a patient conducting strength training in addition to unweighted gait training may have that training data downloaded or entered along with the unweighted gait training data in order to have a comprehensive data set collected in the unweighted gait system that reflects the patient's entire training and therapy effort. For example, a patient with a stroke causing impairment in one leg, may have strength training data in that leg correlated by the system with gait changes to determine which strength training processes are helping to improve gait and to reinforce which specific muscle groups need further therapy for flexibility, strength or other parameters in order to achieve desired gait improvement.
In one specific example, there is a shoe based sensor system that collects and stores or collects and transmits data on various pressure points to provide gait instruction while using a system described herein or performing one of the illustrative methods of therapy. The DAP gait system integrates with the shoe based data collection system in a feedback loop to unweight a patient to achieve desired gait, and then capture data or, optionally, provide biofeedback based upon sensor inputs when they are off the treadmill in normal activity. In this way, the integrated DAP gait training system becomes part of the treatment modality to use unweighting therapy and biomechanics training as part of the feedback loop to accelerate biomechanics modification.
In still another specific example, patient uses a system with gait training capabilities to unweight and retrain while integrating foot sensor data to achieve desired patterns. The patient practices during several thirty minute sessions at slowly progressing reloading while maintaining the desired pattern. When the patient can achieve the desired sensor and biomechanics pattern at 90% of body weight, the patient is provided shoes with the sensors to take home and use regularly recording the data and feeding back real time data to a mobile device such as a cell phone, personal data assistant (PDA) or smart phone. The data tracking shows how closely the patient is adhering to the desired walking mechanics achieved in the unweighting environment and what deviations are monitored. The next session on the unweighting gait training system, the gait training protocol uses that data to determine unweighting and a training program that specifically helps correct the poor mechanics tracked in the full weightbearing environment. When proper mechanics are achieved in the unweighting environment, another series of 30 minute practice sessions using those mechanics while unweighted with biofeedback to maintain proper gait is provided to help the patient relearn proper gait mechanics. This pattern is repeated several times until the patient reliably and repeatably adopts the new gait pattern and maintains that pattern in full gravity walking.
In some embodiments, the sensors used in conjunction with gait analysis (e.g., symmetry sensors, left/right force variance sensors, etc.) and/or the gait analysis can be used to determine the need for an orthotic device for a user. The system can be configured to select an appropriate type of orthotic or prosthetic for the user based on the gait. The orthotic or prosthetic can be selected so as to improve gait. The system can be configured to direct a user to options for purchasing the device.
The various embodiments of an integrated unweighting and gait training described herein also includes a computer controller in communication with the various system inputs (see, e.g.,
In addition, the system control computer includes the components and sub-systems used for a data recording system that enables the storage of all training related and time based and time coordinated data, including electromyogram (EMG) signals among others as illustrated and described above in
In one aspect, it is to be appreciated that the integrated unweighting system with gait measurement may be operated to use differential pressure assistance to selectively and controllably adjust the mechanical load acting on the patient while optimizing the work or therapy performed by the patient to provide effective stepping and standing during therapy along with measurable and repeatable data collection, synthesis feedback into specific therapy regimes and protocols.
In still another aspect, the systems and method of gait training described herein (optionally including the use of a GaitBox for data collection) provide a true user controlled gait training environment. The integrated unweighting and gait measurement systems of
The GaitBox provides accurate, real-time measurement of basic gait parameters on any treadmill.
The basic gait parameters are: Speed (distance divided by time); Cadence (number of steps per minute); Left/Right Stride Length (distance between successive impacts of same foot, e.g. left-foot-impact to left-foot-impact); and Left/Right Stride Time (time between successive impacts of same foot). Other additional gait parameters include, by way of example and not limitation, foot placement phase asymmetry (right to left step time compared with left to right step time) and stride time jitter (variation in timing between subsequent footfalls on the same or opposite sides).
In one aspect, to calculate these values when someone is walking or running on a treadmill requires:
In one embodiment, the GaitBox obtains these measurements in the following ways:
It is to be appreciated that one or more of the GaitBox characteristics, functions or capabilities may be used to provide inputs/outputs or other information to enhance the operations of the various Gait techniques as shown and described herein.
Visual Display
The basic visual display of the GaitBox may be on the GaitBox (
As mentioned above, the visual display can be presented via native software running on a PC, a tablet, or a smart phone, i.e. a software application designed to run on one or more of these platforms). Although the microprocessor in the GaitBox itself may do some processing of the raw sensor data (e.g. noise filtering or error correction), the actual data display is performed by the software application running on the display device. We will refer to this as the “GaitBox application” (as opposed to the GaitBox hardware, consisting of the sensors and microprocessor).
As shown in
Video
In an alternative embodiments or in addition, the GaitBox system incorporates one or more video cameras, which can communicate with the processor and/or as well as visual display in either a wired or wireless configuration. In one aspect, the visual display will show the video in real time. In some configurations, the video may appear on a separate “page” which can be selected by the user, or alongside other information on the primary screen. If multiple cameras are available, the GaitBox application provides for selection of the camera to be displayed. In some embodiments, a GaitBox application provides for simultaneous display of multiple camera views.
Visual Feedback
In some aspects, the computer readable instructions in the application which manage the visual display provide for drawing edits such as lines and shapes (e.g. rectangles or circles) or other visual indicia on top of the video. These user provided drawings may be implemented using a touch screen, for example.
In addition to the basic gait parameters, the application which manages the visual display may provide graphic feedback as to the symmetry of gait. For example, two bars (representing left/right stride length) might appear on the display, and the user instructed to make the two bars equal in length (and of a specific height, i.e. stride length).
Reporting
The GaitBox application includes computer readable instructions to generate a summary report (total time, total distance, total steps, average speed, average cadence, and statistical measures of left/right stride length and time percentage (min/max/mean/median/standard deviation) or any other collected parameter, calculated parameter in any combination or as specified by a user. In addition, the report may be preserved in some fashion either on or off the display system (e.g. printing, stored as a file, or e-mailed).
Previous instrumented treadmills have provided GAIT metrics from sensors and cameras, but the present invention provides additional capabilities provided by a cloud-connected medical DAP treadmill.
One novel feature is the ability to record segments of video to analyze changes in walking mechanics and demonstrate to users the visual difference in improvement.
Web Access to GAIT Measures
If GaitBox session data is saved to a server on the Internet, a Web-based application will make that information available via a browser. If information is associated with a particular user, they will have the ability to see only the information from their own sessions.
While the various Gait techniques and systems and the GaitBox are shown in use and configured for providing therapy utilizing unweighting systems, the various embodiments of the present inventions are not so limited. The gait methods and systems described herein, particularly for the GaitBox, may be adapted and configured for use with a treadmill with (as described) or without an unweighting system or other assisted use device.
In addition to the above described, techniques, other variations of implementing the system are possible. In one example, at low walking speeds, detecting a foot strike with an accelerometer mounted to the treadmill deck is challenging, due to the amount of background vibration induced by the treadmill motor itself. An alternate embodiment is to use an acoustic microphone alone or in conjunction with any of the above described aspects to detect foot strikes. In still another alternative embodiment, the detection of foot strikes is neglected altogether and instead leg proximity sensors are employed to measure the intervals between successive passages of the legs in front of the sensors.
To capture more complete workout data, the present invention can also capture user's heart rate and treadmill incline through wireless heart rate monitoring sensors and gyroscopic or accelerometer sensors
In situations where patients progress through a continuum of care, from immobile, to partially mobile, to fully mobile, gait data generated by the current invention can be connected and compared with data from devices aimed at other segments of the care continuum. An example might be gait data collected from a Tibion bionic leg matched against data collected from the present invention, compared to gait data collected from full mobility measurement system such as those produced by Optogait or Zebris. Doing so allows showing efficacy of treatment over time, beyond the range of any single system.
The current invention enables the measurement of gait asymmetry through the use of leg proximity sensor mounted on either side of the treadmill by reference to
Balance Assessment
Patients suffering from a lack of balance control can be prone to falling and having trouble controlling gait. A number of sensory and/or motor disorders can impair posture and equilibrium control, leading to balance issues. A clinician, such as a physician or therapist, can treat such an individual by performing an assessment of the patient's balance condition. For example, a clinician can observe a patient performing a number of routine motor tasks (e.g., standing, walking, climbing up or down stairs, etc.) and determine whether a patient has a normal or impaired balance condition. An observation of an impaired balance condition can lead to a recommended treatment protocol with the goal of achieving a normal balance condition.
A number of traditional balance assessment tests rely on observational data from a clinician as described above. U.S. Pat. No. 5,919,419, Int'l Patent Publication No. WO, 2013019956A, Int'l Patent Publication No. WO 2004103176, U.S. Publication No. 20080306412, Int'l Publication No. 2007115565, Int'l Patent Publication No. WO2008058567, and U.S. Pat. No. 8,447,401, the disclosures of which are hereby incorporated by references in their entireties, describe methods of assessing and diagnosing balance issues in users. However, quantifiable data regarding a patient's balance condition can help provide a more accurate assessment and recommended therapy for a patient with impaired function.
Quantitative information on the efficacy of the human sense of balance can be obtained by, for example, the electrophysiological measurement of eye movements or of the postural responses of the limbs. A balance control deficit is indicated if a response is outside of the limits expected for individuals having a normal balance function. Quantitative postural information may also be obtained by measuring contractile activity of the muscles generating the internal body forces for maintaining the equilibrium position using electromyographic (EMG) recordings.
Balance deficits are, however, normally quantified by recording body sway, i.e., the displacement of the body from the equilibrium position. Quantification of the postural sway of a subject is known as “stabilometry” or “posturography”. One such method for quantifying balance deficits involves the measurement of body sway in terms of displacement of the center of foot pressure (CFP), sometimes termed “center of force”, generated by the inherent instability of a test subject standing on a fixed support surface. CFP is computed from the signals provided by force transducers which are typically embedded in the four corners of the support surface. The force transducer outputs are employed to obtain a projection, on the support surface platform, of the resultant forces acting at the subject's center of gravity.
Balance training and assessment can be utilized by physicians, therapists, and trainers as tools to predict recovery and develop treatment. Stroke patients, elderly patients, and patients with neurological conditions are examples of patient groups that can benefit from balance assessment and training. Balance training can include reaching, variations in base of support, use of tilt boards, gait training varying speed, and stair climbing exercises. The type of training can depend on the patient's ability and stage of recovery. Balance assessment can be used to determine what kind of the intensity of balance training to be used. Balance assessment can also be used to develop a more complete user profile for the purpose of data collection and treatment development, including non balance related treatment, such as unweighting treatment or other physical therapy.
Unweighting can be a helpful tool in conducting balance assessment. For example, in some embodiments, a part or parts of the body can be unweighted. Feedback sensors can be used to assess the user's balance response to the uneven weighting. In some embodiments, physical injury or damage can be severe enough that unweighting is helpful in allowing sufficient mobility for the patient during a balance assessment.
Sensors can include those described elsewhere in the application, for example, with respect to gait analysis. In some embodiments, the sensors include cameras, motion sensor, force sensors, gyroscopic, or accelerometer sensors. Other sensors are also possible. For example, the sensors can comprise heart rate monitoring sensors, IR sensor, optical mouse style laser sensors, proximity sensors, light sensor, shoe based sensors.
Concussion Assessment
Unweighting systems can also be used to perform assessments of a user's concussive state. A concussion, or a mild traumatic brain injury (MTBI) is the most common type of traumatic brain injury. Concussion can cause a variety of physical, cognitive, and emotional symptoms, which may not be recognized if subtle. Symptoms generally resolve within three weeks, but may persist and may develop into complications. People who have one concussion can be more susceptible to another, especially in cases in which the new injury occurs before symptoms from the previous concussion have resolved. There can also be a negative progressive process in which smaller impacts cause the same symptom severity. Repeated concussions may increase the risk in later life for dementia, Parkinson's disease, and/or depression. As such, it is important to quickly and accurately diagnose a concussion so that further harm can be prevented and recovery can begin.
Unweighting systems provided herein can be used to collect entered and sensed data from a user. As noted above, the unweighting system can comprise a user interface. The user interface can be used to collect user information, for example, related to the aggravating injury and resulting symptoms. Example information to be collected is shown in Appendix A—An Acute Concussion Evaluation provided by the Centers for Disease Control and Prevention (CDC). The system can also be configured to collect physical data using the sensors described above to gather information about the physical function of the user. The user interface can also be used to perform cognitive testing of the user. For example, the system can ask the user questions and seek user input. The collected data can be uploaded to an aggregate database of users and compared to the user's own previous data or to data from other normal or impaired users. Analysis of this data can result in a concussion diagnosis of the user.
General Assessment
In some embodiments, the unweighting system (e.g., the systems described in U.S. Provisional Application No. 62/013,999 and U.S. Provisional Application No. 62/024,916, both of which are incorporated by reference herein) can be configured to generally track body parameters, using, for example, infrared sensors, heart rate monitors, etc. The data collected can be analyzed by the aggregate database system to provide the user with an assessment. In this way, users needing therapy, but not under the supervision of a therapist (e.g., self-pay users) can be informed of an indication for treatment. The treatment can also be generated by the system, as described elsewhere herein. In other embodiments, the user can be directed to a physical therapist who can receive the data captured by the system.
The user and therapist can set up live sessions for the therapy. In other embodiments, the therapy can be delivered through the display or a separate system (e.g., tablet, laptop, smartphone) while the patient is using the system. Through the system's sensors, the therapist can monitor the user's function and progress, enabling physical therapy in a facility not offering therapy.
As such, some embodiments of the current invention provide for a system and method for matching users with the appropriate unweighting systems for the needed treatment and/or diagnostic assessment based on unweighting system features including category type, gait training, balance assessment, and concussion assessment.
Payment Models
The current embodiment also provides a framework for payments to be made to the healthcare provider performing services, the healthcare provider accountable for the patient's outcome or the patient themselves as an adherence incentive. The system also supports the payment of funds from third party payers, from the patient themselves and from providers or healthcare systems into a patient fund that can be used to reimburse the appropriate parties based on successful improvement in patient function.
The method can further comprise transferring funds from the user to a treatment facility or provider. The method can further comprise providing a cost for the suggested workout routine. Differential pricing can be used to determine the cost. The method can further comprise providing a list of unweighting systems appropriate for the suggested workout routine. The method can further comprise providing available appointment times for suitable unweighting systems. The method can further comprise scheduling an appointment. In some embodiments, generating a suggested workout routine comprises generating workout routine on equipment other than an unweighting system. The method can further comprise uploading the suggested workout routine to the database. The method can further comprise performing the suggested workout and uploading performance data to the database. In some embodiments, the method comprises an iterative process, generating periodic updates for the user or a medical professional. The method can further comprise generating subsequent suggested workout routines based on user progress.
A potential user flow of the payments model is outlined in methods 5800 and 5900, respectively, as shown in
A specific example of the processes 5800, 5900 outlined above and in
Connecting Wearables and Additional Measures
Another key item to determining payment amounts and determining patient health improvement is adding additional sensors to provide more data. The interaction diagram described in
Machine Health and Diagnostics
The creation of a “machine health” database that collects and analyzes machine performance data from devices in the field with a software interface to display real-time analytics to a service member of single machine performance, total fleet performance and predictive models of service risk.
In one embodiment, the notification system is set up to automatically send periodic email notifications, text messages or other means of communication to the treadmill owner altering them of normal performance or concerning use trends that may be causing harm to the treadmill or specific parts of the treadmill. The notification system provides actionable information and suggested corrective actions to prevent further damage or wear on the treadmill.
In the preferred embodiment, the notification system and performance metrics are tied directly into the warranty of the unit in order to adjust a warranty length, void a warranty, better understanding which customers pose the smallest risk to a warranty or warranty extension and assisting in the price determination of a warranty extension based on current state of a treadmill.
Treadmill Brake
Treadmills are widely used for rehabilitation and for exercise of users with a wide variety of abilities and mobility. Most treadmills do not have a way to hold the walking belt in place when the treadmill is stopped. Users, especially those with limited mobility, are susceptible to falls if they lean forward or backward because the belt may move and cause them to stumble or fall.
Treadmills are required to have an emergency stop (ESTOP) that can be pulled to remove power from the treadmill motor, and it is especially important for a treadmill brake to be applied after ESTOP is pulled to allow a fallen user to get up without the belt slipping out from under them. However, ESTOP must not cause an immediate stop of the belt because the belt could jerk to a stop and injure a patient that is moving at high speed.
Some treadmills use friction brakes to keep the belt in place, but friction brakes add additional cost and are especially difficult to provide correct operation when ESTOP is pulled. If they are the type that has springs to make them applied when unpowered, they can cause injury when power is cut to the treadmill because the brake will engage and may jerk the belt to a stop. If the friction brake is of the type that is normally not applied when unpowered, then there is no braking after ESTOP is pulled and it may be difficult for a fallen user to get up.
Another drawback of friction brakes is the added cost for the brake and the potential added cost for servicing the brake which may wear down over time.
Embodiments of the inventive treadmill motor brake provide a number of advantages over the above mentioned shortcomings of conventional approaches to treadmill braking. In one aspect, an inventive treadmill brake can apply motor power to hold the walking belt in place. In another aspect, an inventive treadmill brake only applies power after detecting the beginning of movement of the treadmill belt by the user. In still another aspect, an inventive treadmill brake in one of the currently envisioned configurations will not require the addition of mechanical parts. In still another aspect, an inventive treadmill brake uses the treadmill motor to brake but can utilize a treadmill controller with no provisions for motor braking. In still another aspect, an inventive treadmill brake applies a DC voltage to motor windings using the motor inductance to lower the average current applied to the motor.
The inventive treadmill motor brake uses a treadmill motor to apply the braking force using a technique generally known as DC Injection Braking. Multi-phase brushless motors, including induction motors and brushless DC motors, will hold position when a DC voltage is applied across two of the motor phases. In particular, a three-phase induction motor holds position in this way.
However, standard DC injection braking requires continuous high power that is applied to the locked-rotor which presents a very low impedance. A typical 2 HP motor of the type used in treadmills may have approximately 2 ohms of resistance and 20 uH of inductance when stalled. If the full AC voltage was rectified, say to 300 VDC, and continuously applied to the motor windings, the current would be 300V/2 ohms=150 A and the power would be 300{circumflex over ( )}2/2=45 KW. A motor cannot not withstand this power very long without overheating or tripping a circuit breaker.
The solution to this problem is twofold. First, rather than applying the brake continuously, the brake can be applied only when the belt begins to move. This is a good approach because braking is only required when the belt is moved by a user trying to gain footing. Motors typically have an encoder or tachometer for speed feedback and those outputs can be read by a processor and used to apply the brake. In one embodiment, the treadmill motor has a 2048 pulse per revolution incremental encoder. A processor samples the A and B quadrature signals and starts to brake after detecting a few transitions of both signals. (It is generally not sufficient to detect changes in just one signal because the motor could be stopped at the transition point of that signal which could chatter while stopped.) The detection and electronics are sufficiently fast that only a tiny movement of the belt is allowed before the brake is applied.
The second solution to the power problem is to deliver short pulses from the rectified AC to apply to the brake rather than requiring an expensive, high current DC supply. The width of the pulses may be controlled to provide the desired amount of braking force. In one embodiment, the short pulses, are produced by a microcontroller that applies one pulse per ms. By using short pulses, the circuit takes advantage of the large inductance of the motor windings to limit the current. The duty cycle of the pulses can be tuned as needed, but a typical range is from 5 to 25% duty cycle at a frequency of 1 Khz.
Normally the brake control electronics enables power to the motor controller and sets the brake relay to connect motor phases to the motor controller.
When the emergency stop (ESTOP) is pulled, redundant hardware responds to either ESTOP switch and switches both relays to disable AC power from the motor controller and enable the brake. The microcontroller generates pulses to provide a controlled DC power to two motor phases to hold the treadmill belt in place.
The treadmill controller may be separate from the braking apparatus as shown in
If the answer to “motor shaft moved?” at step 2620 is no, then proceed to step 2630.
At step 2630, after locking rotor (step 2625) on determining the motor shaft has not moved (“NO” to step 2620), next determine is RUN button activated or is the ETOP key re-inserted? (step 2630).
If the RUN button is not activated or the ESTOP key not replaced (step 2630 is “NO”), then the control system will return to the step to monitor motor shaft movement (step 2620).
If the RUN key is activated/ESTOP key is replaced (step 2630 is “YES”) tehn power is restored to the motor controller (step 2635) and the method ends (step 2640).
When a feature or element is herein referred to as being “on” another feature or element, it can be directly on the other feature or element or intervening features and/or elements may also be present. In contrast, when a feature or element is referred to as being “directly on” another feature or element, there are no intervening features or elements present. It will also be understood that, when a feature or element is referred to as being “connected”, “attached” or “coupled” to another feature or element, it can be directly connected, attached or coupled to the other feature or element or intervening features or elements may be present. In contrast, when a feature or element is referred to as being “directly connected”, “directly attached” or “directly coupled” to another feature or element, there are no intervening features or elements present. Although described or shown with respect to one embodiment, the features and elements so described or shown can apply to other embodiments. It will also be appreciated by those of skill in the art that references to a structure or feature that is disposed “adjacent” another feature may have portions that overlap or underlie the adjacent feature.
Terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. For example, as used herein, the singular forms “a”, “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises” and/or “comprising,” when used in this specification, specify the presence of stated features, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, steps, operations, elements, components, and/or groups thereof. As used herein, the term “and/or” includes any and all combinations of one or more of the associated listed items and may be abbreviated as “/”.
Spatially relative terms, such as “under”, “below”, “lower”, “over”, “upper” and the like, may be used herein for ease of description to describe one element or feature's relationship to another element(s) or feature(s) as illustrated in the figures. It will be understood that the spatially relative terms are intended to encompass different orientations of the device in use or operation in addition to the orientation depicted in the figures. For example, if a device in the figures is inverted, elements described as “under” or “beneath” other elements or features would then be oriented “over” the other elements or features. Thus, the exemplary term “under” can encompass both an orientation of over and under. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptors used herein interpreted accordingly. Similarly, the terms “upwardly”, “downwardly”, “vertical”, “horizontal” and the like are used herein for the purpose of explanation only unless specifically indicated otherwise.
Although the terms “first” and “second” may be used herein to describe various features/elements, these features/elements should not be limited by these terms, unless the context indicates otherwise. These terms may be used to distinguish one feature/element from another feature/element. Thus, a first feature/element discussed below could be termed a second feature/element, and similarly, a second feature/element discussed below could be termed a first feature/element without departing from the teachings of the present invention.
As used herein in the specification and claims, including as used in the examples and unless otherwise expressly specified, all numbers may be read as if prefaced by the word “about” or “approximately,” even if the term does not expressly appear. The phrase “about” or “approximately” may be used when describing magnitude and/or position to indicate that the value and/or position described is within a reasonable expected range of values and/or positions. For example, a numeric value may have a value that is +/−0.1% of the stated value (or range of values), +/−1% of the stated value (or range of values), +/−2% of the stated value (or range of values), +/−5% of the stated value (or range of values), +/−10% of the stated value (or range of values), etc. Any numerical range recited herein is intended to include all sub-ranges subsumed therein.
In still other alternatives, the order in which various described method steps are performed may often be changed in alternative embodiments, and in other alternative embodiments one or more method steps may be skipped altogether. Optional features of various device and system embodiments may be included in some embodiments and not in others. Therefore, the foregoing description is provided primarily for exemplary purposes and should not be interpreted to limit the scope of the invention as it is set forth in the claims.
The examples and illustrations included herein show, by way of illustration and not of limitation, specific embodiments in which the subject matter may be practiced. As mentioned, other embodiments may be utilized and derived there from, such that structural and logical substitutions and changes may be made without departing from the scope of this disclosure. Such embodiments of the inventive subject matter may be referred to herein individually or collectively by the term “invention” merely for convenience and without intending to voluntarily limit the scope of this application to any single invention or inventive concept, if more than one is, in fact, disclosed. Thus, although specific embodiments have been illustrated and described herein, any arrangement calculated to achieve the same purpose may be substituted for the specific embodiments shown. This disclosure is intended to cover any and all adaptations or variations of various embodiments. Combinations of the above embodiments, and other embodiments not specifically described herein, will be apparent to those of skill in the art upon reviewing the above description.
This application is a continuation of U.S. patent application Ser. No. 15/319,629, filed Dec. 16, 2016, titled PRESSURE CHAMBER AND LIFT FOR DIFFERENTIAL AIR PRESSURE SYSTEM WITH MEDICAL DATA COLLECTION CAPABILITIES,” now U.S. Patent Application Publication No. 2017/0128769, which is a national phase application under 35 USC 371 of International Patent Application No. PCT/US2015/036530, filed Jun. 18, 2015, now International Publication No. WO 2015/195983, which claims the benefit of U.S. Provisional Patent Application No. 62/013,999, filed Jun. 18, 2014, titled “DIFFERENTIAL AIR PRESSURE TREADMILL SYSTEM”; U.S. Provisional Patent Application No. 62/024,916, filed Jul. 15, 2014, titled “PRESSURE CHAMBER AND LIFT FOR DIFFERENTIAL AIR PRESSURE SYSTEM”; and U.S. Provisional Patent Application No. 62/054,311 filed Sep. 23, 2014, titled “SYSTEMS AND METHODS FOR MANAGEMENT AND SCHEDULING OF DIFFERENTIAL AIR PRESSURE AND OTHER UNWEIGHTED OR ASSISTED TREATMENT SYSTEMS,” each of which is herein incorporated by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| 62013999 | Jun 2014 | US | |
| 62024916 | Jul 2014 | US | |
| 62054311 | Sep 2014 | US |
| Number | Date | Country | |
|---|---|---|---|
| Parent | 15319629 | Dec 2016 | US |
| Child | 16742718 | US |
