TREA

Persuasive motivation for orthopedic treatment

Follow

Information

  • Patent Grant
  • 11826613
  • Patent Number
    11,826,613
  • Date Filed
    Tuesday, October 20, 2020
    4 years ago
  • Date Issued
    Tuesday, November 28, 2023
    a year ago
Information
Abstract
In one embodiment, a method is disclosed. The method includes, while the patient uses the treatment apparatus, controlling, based on a treatment plan for a patient, a treatment apparatus. The method includes receiving, by a processing device, data from an electronic device, wherein the data comprises one of a position of a body part of the patient or a force exerted by the body part. The method includes storing, via the processing device, the data for the patient in a computer-readable medium. The method includes causing, via a processing device, presentation of a user interface on a patient interface. The user interface comprises an adjustment confirmation control, and the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.
Description
BACKGROUND

Patients may use treatment apparatuses for any suitable purpose, such as rehabilitation of a body part, pre-habilitation of a body part, strengthening a body part, exercising a body part, and the like.


SUMMARY

A method is disclosed. The method includes, while the patient uses the treatment apparatus, controlling, based on a treatment plan for a patient, a treatment apparatus. The method includes receiving, by a processing device, data from an electronic device, wherein the data comprises one of a position of a body part of the patient or a force exerted by the body part. The method includes storing, via the processing device, the data for the patient in a computer-readable medium. The method includes causing, via a processing device, presentation of a user interface on a patient interface. The user interface comprises an adjustment confirmation control, and the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.


A computer-implemented system for physical rehabilitation is provided. The computer-implemented system comprises a clinician interface including a patient profile display configured to present data regarding performance, by a patient, of a regimen for a body part, the body part comprising at least one of a joint, a bone, or a muscle group. The computer-implemented system also comprises a sensor configured to measure one of a position of the body part or a force exerted by the body part. The computer-implemented system also comprises a patient interface including an output device and an input device for communicating information regarding the performance of the regimen, respectively to and from the patient. The patient interface is configured to present instructions and status information to the patient regarding the performance of the regimen. The patient interface is configured to present an adjustment confirmation control configured to solicit a response regarding the patient's comfort or discomfort with the one of the position of the body part or the force exerted by the body part.


A system for remote treatment is also provided. The system for remote treatment comprises: a clinician interface configured to present controls for modifying a treatment plan comprising a regimen for treatment of a body part of a patient, with the body part comprising at least one of a joint, a bone, or a muscle group. The system also comprises a treatment apparatus for performing the regimen upon the body part, the treatment apparatus is configured to be manipulated by the patient. The system also comprises a patient interface including an output device and an input device for communicating information regarding the performance of the regimen, respectively to and from the patient. The patient interface and the treatment apparatus are each configured to enable operation from a patient location geographically separate from a location of the clinician interface. The patient interface is configured to present an adjustment confirmation control configured to solicit a response regarding the patient's comfort level with one of a position of the body part or a force exerted by the body part.


A patient user interface generated by a computer is also provided. The patient user interface comprises a session period action screen configured to present real-time status of a measurement regarding a patient's use of a treatment apparatus for performing a regimen for a body part, the body part comprising at least one of a joint, a bone, or a muscle group. The patient user interface also comprises an adjustment confirmation control configured to solicit a response regarding the patient's comfort level with one of a position of the body part or a force exerted by the body part. The measurement regarding the patient's use of the treatment apparatus includes the one of the position of the body part or the force exerted by the body part.





BRIEF DESCRIPTION OF THE DRAWINGS

For a detailed description of example embodiments, reference will now be made to the accompanying drawings in which:



FIG. 1 shows a block diagram of an embodiment of a computer implemented system for managing a treatment plan;



FIG. 2 shows a perspective view of an embodiment of a treatment apparatus;



FIG. 3 shows a perspective view of a pedal of the treatment apparatus of FIG. 2;



FIG. 4 shows a perspective view of a person using the treatment apparatus of FIG. 2;



FIG. 5 shows an example embodiment of an overview display of a clinician interface;



FIG. 6 shows an example embodiment of a patient profile display of a clinician interface;



FIG. 7 shows another view of the example patient profile display of FIG. 6;



FIG. 8 shows an example embodiment of a treatment protocol management display of a clinician interface;



FIG. 9 shows an example embodiment of a positioning confirmation screen of a patient interface;



FIG. 10 shows an example embodiment of a positioning help screen of a patient interface;



FIG. 11 shows an example embodiment of an adjustment introduction screen of a patient interface;



FIG. 12 shows an example embodiment of an adjustment confirmation screen of a patient interface;



FIG. 13 shows an example embodiment of a session period action screen of a patient interface;



FIG. 14 shows an example embodiment of an exercise introduction screen of a patient interface;



FIG. 15 shows an example embodiment of an exercise action screen of a patient interface; and



FIG. 16 shows an example embodiment of a first progress data screen of a patient interface.



FIG. 17 shows an example method for persuasively motivating a patient to use a treatment apparatus.





NOTATION AND NOMENCLATURE

Various terms are used to refer to particular system components. Different companies may refer to a component by different names—this document does not intend to distinguish between components that differ in name but not function. In the following discussion and in the claims, the terms “including” and “comprising” are used in an open-ended fashion, and thus should be interpreted to mean “including, but not limited to . . . .” Also, the term “couple” or “couples” is intended to mean either an indirect or direct connection. Thus, if a first device couples to a second device, that connection may be through a direct connection or through an indirect connection via other devices and connections.


The terminology used herein is for the purpose of describing particular example embodiments only, and is not intended to be limiting. As used herein, the singular forms “a,” “an,” and “the” may be intended to include the plural forms as well, unless the context clearly indicates otherwise. The method steps, processes, and operations described herein are not to be construed as necessarily requiring their performance in the particular order discussed or illustrated, unless specifically identified as an order of performance. It is also to be understood that additional or alternative steps may be employed.


The terms first, second, third, etc. may be used herein to describe various elements, components, regions, layers and/or sections; however, these elements, components, regions, layers and/or sections should not be limited by these terms. These terms may be only used to distinguish one element, component, region, layer, or section from another region, layer, or section. Terms such as “first,” “second,” and other numerical terms, when used herein, do not imply a sequence or order unless clearly indicated by the context. Thus, a first element, component, region, layer, or section discussed below could be termed a second element, component, region, layer, or section without departing from the teachings of the example embodiments. The phrase “at least one of,” when used with a list of items, means that different combinations of one or more of the listed items may be used, and only one item in the list may be needed. For example, “at least one of: A, B, and C” includes any of the following combinations: A, B, C, A and B, A and C, B and C, and A and B and C. In another example, the phrase “one or more” when used with a list of items means there may be one item or any suitable number of items exceeding one.


Spatially relative terms, such as “inner,” “outer,” “beneath,” “below,” “lower,” “above,” “upper,” “top,” “bottom,” and the like, may be used herein. These spatially relative terms can be used for ease of description to describe one element's or feature's relationship to another element(s) or feature(s) as illustrated in the figures. The spatially relative terms may also be intended to encompass different orientations of the device in use, or operation, in addition to the orientation depicted in the figures. For example, if the device in the figures is turned over, elements described as “below” or “beneath” other elements or features would then be oriented “above” the other elements or features. Thus, the example term “below” can encompass both an orientation of above and below. The device may be otherwise oriented (rotated 90 degrees or at other orientations) and the spatially relative descriptions used herein interpreted accordingly.


DETAILED DESCRIPTION

The following discussion is directed to various embodiments of the disclosure. Although one or more of these embodiments may be preferred, the embodiments disclosed should not be interpreted, or otherwise used, as limiting the scope of the disclosure, including the claims. In addition, one skilled in the art will understand that the following description has broad application, and the discussion of any embodiment is meant only to be exemplary of that embodiment, and not intended to intimate that the scope of the disclosure, including the claims, is limited to that embodiment.



FIG. 1 shows a block diagram of a computer-implemented system 10, hereinafter called “the system” for managing a treatment plan. The treatment plan includes one or more treatment protocols, and each treatment protocol includes one or more sessions. Each session comprises several session periods, with each session period including a particular activity for treating the body part of the patient. For example, a treatment plan for post-operative rehabilitation after a knee surgery may include an initial treatment protocol with twice daily stretching sessions for the first 3 days after surgery and a more intensive treatment protocol with active exercise sessions performed 4 times per day starting 4 days after surgery.


The system 10 includes a clinician interface 20 for a clinician, such as a doctor, a nurse, a physical therapist, or a technician, to use to review and to configure various aspects of a treatment plan for use in treating a patient. The clinician interface 20 includes a clinician input device 22 and a clinician display 24, which may be collectively called a clinician user interface 22, 24. The clinician input device 22 may include one or more of a keyboard, a mouse, a trackpad, or a touch screen, for example. Alternatively or additionally, the clinician input device 22 may include one or more microphones and voice-based functionalities, with hardware and/or software configured to interpret spoken instructions by the clinician by using the one or more microphones. The clinician input device 22 may include functionality provided by or similar to existing voice-based assistants such as Siri by Apple, Alexa by Amazon, Google Assistant, or Bixby by Samsung. The clinician input device 22 may include other hardware and/or software components. The clinician input device 22 may include one or more general purpose devices and/or special-purpose devices.


The clinician display 24 may take one or more different forms including, for example, a computer monitor or display screen on a tablet, smartphone, or a smart watch. The clinician display 24 may include other hardware and/or software components such as a projector, virtual reality capability, or augmented reality capability etc. The clinician display 24 may incorporate various different visual, audio, or other presentation technologies. For example, the clinician display 24 may include a non-visual display, such as an audio signal, which may include spoken language and/or other sounds such as tones, chimes, and/or melodies which may signal different conditions and/or directions. The clinician display 24 may comprise one or more different display screens presenting various data and/or interfaces or controls for use by the clinician. The clinician display 24 may include graphics, which may be presented by a web-based interface and/or by a computer program or application (App.).


The system 10 also includes a server 30 configured to store and to provide data related to managing the treatment plan. The server 30 may include one or more computers and may take the form of a distributed and/or virtualized computer or computers. In some embodiments, the server 30 may generate aspects of the clinician display 24 for presentation by the clinician interface 20. For example, the server 30 may include a web server configured to generate the display screens for presentation upon the clinician display 24. In some embodiments, the clinician display 24 may be configured to present a virtualized desktop that is hosted by the server 30. The server 30 also includes a first communication interface 32 configured to communicate with the clinician interface 20 via a first network 34. In some embodiments, the first network 34 may include a local area network (LAN), such as an Ethernet network. In some embodiments, the first network 34 may include the Internet, and communications between the server 30 and the clinician interface 20 may be secured via encryption, such as, for example, by using a virtual private network (VPN). In some embodiments, the first network 34 may include wired and/or wireless network connections such as Wi-Fi, Bluetooth, ZigBee, Near-Field Communications (NFC), cellular data network, etc. The server 30 includes a first processor 36 and a first machine-readable storage memory 38, which may be called a “memory” for short, holding first instructions 40 for performing the various actions of the server 30 for execution by the first processor 36. The server 30 is configured to store data regarding the treatment plan. For example, the memory 38 includes a system data store 42 configured to hold system data, such as data pertaining to treatment plans for treating one or more patients. The server 30 is also configured to store data regarding performance by a patient in following a treatment plan. For example, the memory 38 includes a patient data store 44 configured to hold patient data, such as data pertaining to the one or more patients, including data representing each patient's performance within the treatment plan.


The system 10 also includes a patient interface 50 configured to communicate information to a patient and to receive feedback from the patient. Specifically, the patient interface 50 includes an input device 52 and an output device 54, which may be collectively called a patient user interface 52, 54. The input device 52 may include one or more devices, such as a keyboard, a mouse, a touch screen input, a gesture sensor, and/or a microphone and processor configured for voice recognition. The output device 54 may take one or more different forms including, for example, a computer monitor or display screen on a tablet, smartphone, or a smart watch. The output device 54 may include other hardware and/or software components such as a projector, virtual reality capability, augmented reality capability, etc. The output device 54 may incorporate various different visual, audio, or other presentation technologies. For example, the output device 54 may include a non-visual display, such as an audio signal, which may include spoken language and/or other sounds such as tones, chimes, and/or melodies, which may signal different conditions and/or directions. The output device 54 may comprise one or more different display screens presenting various data and/or interfaces or controls for use by the patient. The output device 54 may include graphics, which may be presented by a web-based interface and/or by a computer program or application (App.).


As shown in FIG. 1, the patient interface 50 includes a second communication interface 56, which may also be called a remote communication interface configured to communicate with the server 30 and/or the clinician interface 20 via a second network 58. In some embodiments, the second network 58 may include a local area network (LAN), such as an Ethernet network. In some embodiments, the second network 58 may include the Internet, and communications between the patient interface 50 and the server 30 and/or the clinician interface 20 may be secured via encryption, such as, for example, by using a virtual private network (VPN). In some embodiments, the second network 58 may include wired and/or wireless network connections such as Wi-Fi, Bluetooth, ZigBee, Near-Field Communications (NFC), cellular data network, etc. In some embodiments, the second network 58 may be the same as and/or operationally coupled to the first network 34.


The patient interface 50 includes a second processor 60 and a second machine-readable storage memory 62 holding second instructions 64 for execution by the second processor 60 for performing various actions of patient interface 50. The second machine-readable storage memory 62 also includes a local data store 66 configured to hold data, such as data pertaining to a treatment plan and/or patient data, such as data representing a patient's performance within a treatment plan. The patient interface 50 also includes a local communication interface 68 configured to communicate with various devices for use by the patient in the vicinity of the patient interface 50. The local communication interface 68 may include wired and/or wireless communications. In some embodiments, the local communication interface 68 may include a local wireless network such as Wi-Fi, Bluetooth, ZigBee, Near-Field Communications (NFC), cellular data network, etc.


The system 10 also includes a treatment apparatus 70 configured to be manipulated by the patient and/or to manipulate a body part of the patient for performing activities according to the treatment plan. In some embodiments, the treatment apparatus 70 may take the form of an exercise and rehabilitation apparatus configured to perform and/or to aid in the performance of a rehabilitation regimen, which may be an orthopedic rehabilitation regimen, and the treatment includes rehabilitation of a body part of the patient, such as a joint or a bone or a muscle group. More specifically, the regimen may be a physical rehabilitation regimen for improving strength and/or range of motion of the body part. The body part may include, for example, a spine, a hand, a foot, a knee, or a shoulder. The body part may include a part of a joint, a bone, or a muscle group, such as one or more vertebrae or a ligament. As shown in FIG. 1, the treatment apparatus 70 includes a controller 72, which may include one or more processors, computer memory, and/or other components. The treatment apparatus 70 also includes a fourth communication interface 74 configured to communicate with the patient interface 50 via the local communication interface 68. The treatment apparatus 70 also includes one or more internal sensors 76 and an actuator 78, such as a motor. The actuator 78 may be used, for example, for moving the patient's body part and/or for resisting forces by the patient.


The internal sensors 76 may measure one or more operating characteristics of the treatment apparatus 70 such as, for example, a force a position, a speed, and/or a velocity. In some embodiments, the internal sensors 76 may include a position sensor configured to measure at least one of a linear motion or an angular motion of a body part of the patient. For example, an internal sensor 76 in the form of a position sensor may measure a distance that the patient is able to move a part of the treatment apparatus 70, where such distance may correspond to a range of motion that the patient's body part is able to achieve. In some embodiments, the internal sensors 76 may include a force sensor configured to measure a force applied by the patient. For example, an internal sensor 76 in the form of a force sensor may measure a force or weight the patient is able to apply, using a particular body part, to the treatment apparatus 70.


The system 10 shown in FIG. 1 also includes an ambulation sensor 82, which communicates with the server 30 via the local communication interface 68 of the patient interface 50. The ambulation sensor 82 may track and store a number of steps taken by the patient. In some embodiments, the ambulation sensor 82 may take the form of a wristband, wristwatch, or smart watch. In some embodiments, the ambulation sensor 82 may be integrated within a phone, such as a smartphone.


The system 10 shown in FIG. 1 also includes a goniometer 84, which communicates with the server 30 via the local communication interface 68 of the patient interface 50. The goniometer 84 measures a position of the patient's body part. More specifically, the goniometer 84 measures an angle of the body part, particularly where the body part is a joint. For example, the goniometer 84 may measure the angle of flex of a patient's knee or elbow or shoulder.


The system 10 shown in FIG. 1 also includes a pressure sensor 86, which communicates with the server 30 via the local communication interface 68 of the patient interface 50. The pressure sensor 86 measures an amount of pressure or weight applied by a body part of the patient. For example, pressure sensor 86 may measure an amount of force applied by a patient's foot when pedaling a stationary bike.


The system 10 also includes a wearable device 90 configured to be worn or carried on the patient's person. The wearable device 90 may take one of several different forms such as, for example, a smart watch, a wristband, a pendant, or a smartphone. The wearable device 90 may include a means of attachment, such as a pin, a belt clip, a strap, or a lanyard, to facilitate the device's being worn or carried by the patient. In some embodiments, and as shown in FIG. 1, the wearable device 90 includes the ambulation sensor 82. The wearable device 90 may include one or more other sensors, such as a heartrate sensor, a blood pressure sensor, or a pulse oximeter. The ambulation sensor 82 or another one of the sensors in the wearable device 90 may be configured to monitor one or more factors that indicate an activity level of the patient. The patient's activity level could be used to determine a quantity and/or quality of exercise performed by the patient. The patient's activity level could also be used to determine a quantity and/or quality of the patient's sleep.


The wearable device 90 includes a wearable input device 92 and a wearable display 94, which may be collectively called a wearable user interface 92, 94. The wearable input device 92 may include one or more devices, such as a keyboard, a mouse, a touch screen input, a gesture sensor, and/or a microphone and processor configured for voice recognition. The wearable display 94 may take one or more different forms including, for example, a display screen, and/or one or more lights or other indicators. The wearable display 94 may incorporate various different visual, audio, or other presentation technologies. For example, the wearable display 94 may include a non-visual display, such as a haptic or tactile device and/or an audio signal, which may include spoken language and/or other sounds such as tones, chimes, and/or melodies, and the non-visual display may signal different conditions and/or directions. The wearable display 94 may comprise one or more different display screens configured to present various data and/or interfaces or controls for use by the patient. The wearable display 94 may include graphics, which may be presented by a web-based interface and/or by a computer program or application (App.). The wearable user interface 92, 94 may be configured to present different types of information to the patient. For example, the wearable user interface 92, 94 may be configured to present a reminder when it is time for the patient to perform a rehabilitation session. The wearable user interface 92, 94 may allow the patient to track daily goals or to receive messages from a clinician, etc. This function of the wearable device 90 may be especially useful when the patient is away from the patient interface 50.


The system 10 shown in FIG. 1 also includes a supervisory interface 96 which may be similar or identical to the clinician interface 20. In some embodiments, the supervisory interface 96 may have enhanced functionality beyond what is provided on the clinician interface 20. The supervisory interface 96 may be configured for use by a person having responsibility for the treatment plan, such as an orthopedic surgeon.


The system 10 shown in FIG. 1 also includes a reporting interface 98 which may be similar or identical to the clinician interface 20. In some embodiments, the reporting interface 98 may have less functionality from what is provided on the clinician interface 20. For example, the reporting interface 98 may not have the ability to modify a treatment plan. Such a reporting interface 98 may be used, for example, by a biller to determine the use of the system 10 for billing purposes. In another example, the reporting interface 98 may not have the ability to display patient identifiable information, presenting only pseudonymized data and/or anonymized data for certain data fields concerning a data subject and/or for certain data fields concerning a quasi-identifier of the data subject. Such a reporting interface 98 may be used, for example, by a researcher to determine various effects of a treatment plan on different patients.


In some embodiments, the patient interface 50 and the treatment apparatus 70 are each configured to operate from a patient location geographically separate from a location of the clinician interface 20. For example, the patient interface 50 and the treatment apparatus 70 may be used as part of an in-home rehabilitation system, which may be monitored remotely by using the clinician interface 20 at a centralized location, such as a clinic or hospital. In some embodiments, either or both of the patient interface 50 and/or the treatment apparatus 70 are configured to communicate with a remote computer, such as the server 30, to receive the treatment plan and to report back to the remote computer with data regarding performance by the patient in following the treatment plan.



FIGS. 2-3 show an embodiment of a treatment apparatus 70. More specifically, FIG. 2 shows a treatment apparatus 70 in the form of a stationary cycling machine 100, which may be called a stationary bike, for short. The stationary cycling machine 100 includes a set of pedals 102 each attached to a pedal arm 104 for rotation about an axle 106. In some embodiments, and as shown in FIG. 2, the pedals 102 are movable on the pedal arms 104 in order to adjust a range of motion used by the patient in pedaling. For example, the pedals being located inwardly toward the axle 106 corresponds to a smaller range of motion than when the pedals are located outwardly away from the axle 106. A pressure sensor 86 is attached to or embedded within one of the pedals 106 for measuring an amount of force applied by the patient on the pedal 106. The pressure sensor 86 may communicate wirelessly to the treatment apparatus 70 and/or to the patient interface 50.



FIG. 4 shows a person (a patient) using the treatment apparatus of FIG. 2, and showing sensors and various data parameters connected to a patient interface 50. The example patient interface 50 is a tablet computer or smartphone, or a phablet, such as an iPad, an iPhone, an Android device, or a Surface tablet, which is held manually by the patient. In some other embodiments, the patient interface 50 may be embedded within or attached to the treatment apparatus 70. FIG. 4 shows the patient wearing the ambulation sensor 82 on his wrist, with a note showing “STEPS TODAY 1355”, indicating that the ambulation sensor 82 has recorded and transmitted that step count to the patient interface 50. FIG. 4 also shows the patient wearing the goniometer 84 on his right knee, with a note showing “KNEE ANGLE 72°”, indicating that the goniometer 84 is measuring and transmitting that knee angle to the patient interface 50. FIG. 4 also shows a right side of one of the pedals 106 with a pressure sensor 86 showing “FORCE 12.5 lbs.,” indicating that the right pedal pressure sensor 86 is measuring and transmitting that force measurement to the patient interface 50. FIG. 4 also shows a left side of one of the pedals 106 with a pressure sensor 86 showing “FORCE 27 lbs.”, indicating that the left pedal pressure sensor 86 is measuring and transmitting that force measurement to the patient interface 50. FIG. 4 also shows other patient data, such as an indicator of “SESSION TIME 0:04:13”, indicating that the patient has been using the treatment apparatus 70 for 4 minutes and 13 seconds. This session time may be determined by the patient interface 50 based on information received from the treatment apparatus 70. FIG. 4 also shows an indicator showing “PAIN LEVEL 3”. Such a pain level may be obtained from the patent in response to a solicitation, such as a question, presented upon the patient interface 50.



FIG. 5 is an example embodiment of an overview display 120 of the clinician interface 20. Specifically, the overview display 120 presents summary information regarding each of a plurality of different patients. In some embodiments, and as shown on FIG. 5, the summary information includes an indicator showing a procedure performed upon each of the patients, temporal progress of the patient within the treatment plan (post-op day), an indicator of a last-reported pain level, range-of-motion (ROM) numbers, and an indicator showing if there are any alerts requiring special attention.



FIGS. 6-7 show an example embodiment of a patient profile display 130 of the clinician interface 20. The example patient profile display 130 includes a patient summary 132 with the patient's name, date of birth (DOB), age, a description of a procedure performed or to be performed on the patient, e.g., “Knee surgery”, and a picture of the patient, if available. The example patient profile display 130 also includes a treatment progress summary 134, showing one or more indicators of progress within a treatment regimen or plan. The example treatment progress summary 134 shown on FIG. 6 includes textual progress summaries, “DAY 18”, “3 days remaining”, “12/63 DAILY SESSIONS COMPLETED”, as well as graphical progress summaries in the form of horizontal bar graphs, which may also be called progress bars.


The example patient profile display 130 presents information regarding a treatment history of the patient. For example, the example patient profile display 130 includes a plurality of different treatment graphs 136 showing the effect of various treatment parameters over time. The treatment graphs 136 shown in the example patient profile display 130 of FIGS. 6-7 include extension (angle), flexion (angle), pain (0-10 scale), ambulation (steps/day), and total revolutions (i.e., revolutions performed on the stationary cycling machine 100). The patient profile display 130 shown on FIG. 7 also includes a pictorial history 138, showing one or more images of the surgical site for reference by a clinician or other healthcare professional in reviewing post-operative progress. The images in the pictorial history 138 may be taken by the patient and/or by a clinician or other healthcare professional. For example, the first picture may be taken by a member of the surgical staff, and subsequent pictures may be taken by the patient and/or the rehabilitation clinician. The example patient profile display 130 shown on FIG. 7 also includes a protocol summary display 140 showing a summary overview of a treatment protocol to be performed by the patient. The example protocol summary display 140 includes a protocol heading 142 with a protocol name, e.g. “Acute Protocol.” The protocol heading 142 also includes overview information regarding how and when the protocol is to be performed, e.g. “Days 1-14, 3 sessions daily.” The protocol summary display 140 also includes several protocol session icons 144, each indicating details of an activity to be performed within a protocol session, e.g., “Passive”, “Active”, or “Resistance”, together with other information regarding the protocol session, such as a direction (forward/reverse), and an amount of time that each protocol session is prescribed to be performed.



FIG. 8 shows an example embodiment of a protocol management display 170 of a clinician interface 20 for editing a treatment protocol 156. Specifically, the protocol management display 170 includes a protocol name control 172 for renaming the treatment protocol 156. The protocol management display 170 also includes a protocol timing control 174 for adjusting various timing settings of the treatment protocol 156, such as a duration for the treatment protocol 156 within the treatment plan 152, and a number of sessions to be performed per day. The example protocol timing control 174 shown on FIG. 8 includes drop-down menus for changing the various timing settings, but other controls could be used such as, for example, numeric entry fields or increase/decrease buttons. The protocol management display 170 also includes a protocol session control 176 for customizing the session periods. Specifically, the protocol session control 176 includes a graphical representation of a session, with protocol session icons 144, which may be similar or identical to the protocol session icons 144 of the protocol summary display 140. Each session period may have an associated type, such as passive, resistance, assisted, or active. Each session period may also have several parameters associated therewith.


The protocol session control 176 allows the clinician to adjust the number, the order, and the types of the session periods within a given session of the treatment protocol 156. Each session period has a type that corresponds to a category of activity to be performed upon a body part during that session period. For example, the session periods may be one of a passive period, an assisted period, an active period, or a resistance period. Each passive period is associated with a particular activity that includes moving a body part by an external force; each assisted period is associated with a particular activity that includes moving the body part by the patient with assistance of the external force; each active period is associated with a particular activity that includes the patient moving the body part without assistance of the external force; and each resistance period is associated with a particular activity that includes the patient actively moving the body part against a resistance force. For example, where the treatment apparatus 70 includes a stationary cycling machine 100, a passive period may include an actuator 78, such as a motor, that rotates the pedals 108 with the patient's feet and legs attached thereto and without any action or force being applied by the patient. An assisted period may include the patient applying force to rotate the pedals 108 with some additional help or assistance from the actuator 78. An active period may include the patient applying force to rotate the pedals 108 without any assistance from any outside force. A resistance period may include the patient exerting some force to rotate the pedals 108 in opposition to a resistance force applied by the actuator 78. In some embodiments, the actuator 78 may produce the external forces for each of the different categories of the session periods. The external forces may have different attributes, such as directions, intensities, or rates of changes, for each of the different categories of the session periods. Each session may include any number of session periods in any combination.


In some embodiments, the protocol session icons 144 may be modified using a drag-and-drop interface. Additional protocol sessions may be added to the protocol session using a session period control 177. Additionally, parameters for any or all of the session periods may be adjusted using various session parameter controls 178. For example, a duration and direction of each session period may be adjusted using the session parameter controls 178 located below an associated one of the protocol session icons 144. Various other parameters, such as resistance, target speed range (RPM), pedal radius limits, etc. may be adjusted using other session parameter controls 178. In some embodiments, the number and the type of session parameter controls 178 may change depending on the type of session period selected. For example, selecting a protocol session icon 144 for an active type of session period may cause the target speed range (RPM) session parameter control 178 to be visible and adjustable, but the target speed range (RPM) session parameter control 178 may not be visible and/or adjustable in response to selecting a protocol session icon 144 for a passive type session.


In some embodiments, the system 10 may impose limits on values that can be set using the session parameter controls 178. For example, the treatment plan 154 may include a maximum session time. In some embodiments, to satisfy a rule of the system 10 or a rule within the treatment plan 154, one or more of the values of the parameters may be automatically changed by the system 10. For example, the treatment plan 154 may require a resistance type of session period after an active type of session period, wherein the former is at least 25% as long as the active type of session to allow the patient to cool down after active exercise. The system 10 may automatically create the resistance type session period in response to the clinician creating an active type session period. The system 10 may also automatically adjust the time of the resistance type session period to satisfy the requirement of it lasting at least 25% as long as the active type of session.


In some embodiments, the treatment plan 154 may include maximum values for certain parameters until an associated condition is satisfied. For example, the pedal radius limit may be limited to 40 mm until an associated condition is satisfied. Associated conditions may include, for example, approval by an authorized person, such as an orthopedic surgeon; the elapsing of a particular time, such as 5 days after a surgical procedure; or successful completion of a post-operation checkup. Similarly, the treatment plan 154 may place limits on the types of session periods that may be performed until an associated condition is satisfied. The treatment plan 154 may be limited to only passive or assisted session periods (and not active periods or resistance periods until an associated condition is satisfied. Different associated conditions may be associated with each of the different parameters and/or with limits on the types of session periods available.



FIG. 9 shows an example embodiment of positioning confirmation screen 520 of the patient interface 50. This screen 520 is the beginning of a guided walk-through for the patient to use the treatment apparatus 70. Specifically, this screen 520 includes written instructions to guide the patient in placing their feet in the pedals 102 of a stationary cycling machine 100. In some embodiments, this screen 520 may include graphics, such as pictures or animations to help the patient perform particular actions for using the treatment apparatus 70. Screen 520 includes a position confirmation selector 522 for the patient to indicate that they are in position to use the treatment apparatus 70. Screen 520 also includes a trouble button 524 for the patient to indicate that they are having trouble getting in position to use the treatment apparatus 70.



FIG. 10 shows an example embodiment of a positioning help screen 560 of the patient interface 50. This help screen 560 may be shown in response to the user selecting the trouble button 524 on the positioning confirmation screen 520. The help screen 560 may automatically be displayed if the patient fails to select the position confirmation selector 522 within a predetermined period of time. In some embodiments, an intermediate screen such as a popup asking if the patient needs more time may be displayed before the help screen 560 is shown. The help screen 560 includes assistance instructions 562 for the patient to obtain assistance for using the treatment apparatus 70. In some embodiments, the assistance instructions 562 may include a phone number. The assistance instructions 562 may also include other items, such as a link to a video conference with someone able to help the patient, and/or a link to a video or animated walk-through with detailed instructions for performing a particular action to use the treatment apparatus 70. The particular action may include, for example, placing the feet in the pedals. The help screen 560 may also include an exit button 564 that the patient can use to stop the treatment session in case they are unable to resolve their issue with using the treatment apparatus 70. Use of the exit button 564 may generate an alert to the clinician. The help screen 560 also includes a proceed button 566 that the patient can use to indicate that they have resolved their issue and are able to proceed with the treatment session.



FIG. 11 shows an example embodiment of an adjustment introduction screen 680 of the patient interface 50. The adjustment introduction screen 680 includes text and/or graphics indicating various adjustments to be performed by the treatment apparatus 70. In the example shown, the adjustments include the treatment apparatus 70 that is a stationary cycling machine 100 that automatically moves the pedals 102 outwardly to a predetermined position for the session period.


In some embodiments, the patient interface 50 presents an adjustment confirmation control configured to solicit a response regarding the patient's comfort level with the position of the body part or the force exerted by the body part. The comfort level may be indicated by a binary selection (e.g., comfortable or not comfortable). In some embodiments, the comfort level may be an analog value that may be indicated numerically or with an analog input control, such as a slider or a rotary knob. In some embodiments, the comfort level may be indicated by one of several different comfort level values, such as an integer number from 1 to 5. In some embodiments, the comfort level may be indicated using controls for the patient to maintain a setting or for the patient to change the setting. More specifically, the adjustment confirmation control for the patient to change the setting may provide for the patient to change the setting in either of two or more directions. For example, the controls may allow the patient to maintain the value of a setting, to increase the value of the setting, or to decrease the value of the setting.


In some embodiments, the patient interface 50 and/or a server may generate and/or present the adjustment confirmation control using one or more machine learning models. The one or more machine learning models may be trained using training data including inputs that are mapped to outputs, such that the machine learning models identify patterns in the data to generate a certain output. The training data may include input data of types and/or arrangements of graphical user interface elements to present that are associated with a higher likelihood of a patient providing feedback. The training data may include input data of values of comfort levels to present that are associated with a higher likelihood of a patient providing feedback. The training data may include input data of values of positions of body parts to present that are associated with a higher likelihood of a patient providing feedback.


The adjustment confirmation control may take the form of an adjustment confirmation screen 720, as shown, for example, in FIG. 12. The adjustment confirmation control may take other forms, such as a popup window or a portion of a larger display screen. The patient interface 50 may present the adjustment confirmation control on a graphical user interface, such as a display screen or an overlay or virtual control within a virtual reality (VR) or augmented reality (AR) display. Additionally or alternatively, the adjustment confirmation control may include one or more physical control devices, such as buttons, knobs, sliders, etc. In some embodiments, the adjustment confirmation control may be used in conjunction with an automatic adjustment, such as an actuator 78 within the treatment apparatus 70. For example, as shown in the FIGS., an actuator 78 may change the radius of one of the pedals 102, thus changing the position of the patient's knees. The adjustment confirmation control may then solicit a response regarding the patient's comfort or discomfort with the adjusted position. In another example, the patient interface 50 may prompt the patient to apply a target pressure, such as 50 lbs. The adjustment confirmation control may then solicit a response regarding the patient's comfort or discomfort in applying the target pressure.


The phrase “ICON” refers to ‘increase control’, the phrase “DCON” refers to ‘decrease control’, and the phrase “SCON” refers to ‘stay control’, unless explicitly stated otherwise, are intended to be understood as noun phrases meaning controls that serve the functions of increasing, decreasing, or maintaining corresponding values.


The adjustment confirmation screen 720 includes text and/or graphics requesting the patient to confirm their satisfaction with the position of the treatment apparatus 70 during and/or after the automatic adjustments are made. The adjustment confirmation screen 720 includes an increase control that the patient may select to indicate a desire to increase the value of a corresponding parameter. The corresponding parameter may be a position of the treatment apparatus 70 such as the radius of the pedal 102 on the pedal arm 104. The corresponding parameter may be a setting for a force or a speed of an exercise performed as part of the regimen. For example, the corresponding parameter may be a target pressure or a target RPM speed in a given session period. The increase control may take the form of an increase button 722, such as the button shown on FIG. 12. The increase control may take other forms, such as a knob or slider control, which may be a physical device or part of a graphical user interface. The adjustment confirmation screen 720 also includes a stay control that the patient may select to indicate a desire to maintain the value of the corresponding parameter. The stay control may take the form of a stay button 724, such as the button shown on FIG. 12. The stay control may take other forms, such as a knob or slider control, which may be a physical device or part of a graphical user interface. The adjustment confirmation screen 720 also includes a decrease control that the patient may select to indicate a desire to decrease the value of the corresponding parameter. The decrease control may take the form of a decrease button 726 such as the button shown on FIG. 12. The decrease control may take other forms, such as a knob or slider control, which may be a physical device or part of a graphical user interface. For example, if the patient experiences pain or discomfort with the initial position, he or she may change the position using the decrease button 726 until the pain or discomfort is alleviated.


In some embodiments, one or more of the increase, the decrease, and/or the stay control(s) may be provided by one or more of the sensors 76, 84, 86. For example, the patient interface 50 may prompt the patient to move a body part until they start to feel discomfort, the system 10 may use one or more of the sensors 76, 84, 86 to measure the range of motion that the body part moved, and that range of motion may be used for performing the rehabilitation regimen. In another example, one or more of the sensors 76, 84, 86, such as a pressure sensor 76 and/or a goniometer 84, may measure a physical response by the patient, such as a flinch that indicates pain. A target value of the parameter may be set based upon the value of the parameter where the patient indicated pain or discomfort. That target value of the parameter may then be used for performing the rehabilitation regimen. The target value of the parameter may be set based upon a value of the parameter where the patient indicated pain or discomfort. The target parameter value may be set to X % of P, where X is a predetermined percentage, and P is the value of the parameter where the patient indicated pain or discomfort. For example, if a patient indicated pain at a pedal radius of 6.0 cm, and X is 90%, the target parameter value for the pedal position may be set to 5.4 cm, or 90% of 6.0 cm. Alternatively, the target parameter value may be set using an offset value that is added or subtracted from the value of the parameter where the patient indicated pain or discomfort. For example, if a patient indicated pain at pedal radius of 8.0 cm, and the offset value is −1.2 cm, then the target parameter value for the pedal radius may be set to 6.8 cm. Values of other parameters, such as target pressure or target speed, may be similarly adjusted.


In some embodiments, the system 10 may be configured to persuasively motivate the patient to use one or more settings for the position of the body part and/or the force exerted by the body part. For example, the patient interface 50 may show a target value or a target range for the position of the body part and/or the force exerted by the body part. In another example, the patient interface 50 may periodically encourage the patient to increase a setting for the position of the body part and/or the force exerted by the body part, particularly where that setting is below a target value or a target range. The system 10 may gradually increase a setting for the position of the body part and/or the force exerted by the body part while the patient is using the body part to perform the rehabilitation regimen. In some embodiments, the adjustment confirmation control may be presented to the patient only after the setting for the position of the body part and/or the force exerted by the body part has been actively used in performing the rehabilitation regimen for some period of time. In some embodiments, the adjustment confirmation control may not be presented to the patient, even after the setting for the position of the body part and/or the force exerted by the body part is adjusted.


In some embodiments, the patient interface 50 may present the adjustment confirmation control before the patient performs the rehabilitation regimen. Such a pre-performance adjustment allows the patient to use a confirmed or adjusted position and/or force setting while performing the rehabilitation regimen. Additionally or alternatively, the patient interface 50 may present the adjustment confirmation control during and/or after the rehabilitation regimen. For example, the adjustment confirmation screen 720 may be presented to the patient during a session or between sessions of the rehabilitation regimen. In some embodiments, the adjustment confirmation control may be presented in response to a triggering event. The triggering event may include, for example, the patient reporting pain in excess of a given value, or an inability to complete one or more activities within the treatment plan 154, or a sudden decrease in walking performed by the patient. Additionally or alternatively, the adjustment confirmation screen 720 may be presented to the patient after the patient has completed a session of the rehabilitation regimen. Such a post-session confirmation may be used to determine the patient's comfort, which may be a proxy for satisfaction with the session of the rehabilitation regimen. The post-session confirmation may be used to determine one or more settings for use in subsequent sessions. For example, an indication of “stay” or “increase” may cause a target value for position and/or pressure of the body part to be increased in subsequent sessions of the rehabilitation regimen.



FIG. 13 shows an example embodiment of a session period action screen 760 of the patient interface 50. This screen 760 is displayed while a given session period is in progress. It includes one or more indicators showing real-time status of measurements regarding the patient's use of the treatment apparatus 70 to perform the rehabilitation regimen upon patient's body part. The measurements displayed may include, for example, a position of, and/or a force exerted by, the patient's body part. The example session period action screen 760 of FIG. 13 includes pressure indicators 762 showing an amount of pressure or force applied by each foot. The pressure indicators 762 show the pressures of the patient's feet upon the pedals 106 as measured by the pressure sensors 86. The pressure indicators 762 are shown as bar graphs, but other types of displays may be used, such as rotary gauges and/or numeric indicators. The pressure indicators 762 may also include a target pressure indicator 764 representing a target setting such as a target pressure value. The target setting may be determined by the clinician using an associated session parameter control 178 on the protocol management display 170, as shown, for example, on FIG. 8. The target setting may be set or adjusted via the adjustment confirmation control, by the patient.


In some embodiments, the clinician interface 20 may present information regarding the position of the body part and/or the force exerted by the body part. This information may include actual and/or target positions and/or forces as measured by one or more of the sensors 76, 84, 86. Additionally or alternatively, the information regarding the position of the body part and/or the force exerted by the body part may include a target value or a target range of values for either or both of the position of the body part and/or the force exerted by the body part. For example, the clinician interface 20 may provide a control for the clinician to adjust a value or a range of values as a target for a parameter such as a position, a force, or a speed used in a session or a session period or for a particular exercise within the rehabilitation regimen. Similarly, the clinician interface 20 may provide a control for the clinician to adjust minimum and/or maximum values for the parameter. For example, the patient may adjust the value of a pedal radius parameter from the preset target value up to the maximum value for that parameter, where the preset target value and the maximum value are both set by the clinician using corresponding controls on the clinician interface 20.


The session period action screen 760 also includes a speed indicator 766 showing a speed that the pedals 106 are turning, as measured by an internal sensor 76 of the stationary cycling machine 100. The speed indicator 766 is shown as a rotary gauge, but other types of displays may be used, such as a bar graph and/or a numeric indicator. The speed indicator 766 includes an optimal or desired speed range, which may be determined by the clinician using an associated session parameter control 178 on the protocol management display 170, as shown, for example, on FIG. 8. The session period action screen 760 may present prompts or messages 768 to enable the user to change the pressure and/or speed if either of those parameters is outside of a predetermined range.



FIG. 14 shows an example embodiment of an exercise introduction screen 800 of the patient interface 50. The exercise introduction screen 800 includes instructions and/or prompts for the patient to perform an exercise that is not performed using the treatment apparatus 70. In the example shown on FIG. 14, the exercise involves straightening the patient's leg. FIG. 15 shows an example embodiment of an exercise action screen 840 of the patient interface 50. The exercise action screen 840 includes a countdown timer 842 showing an amount of time that the patient should continue with a given exercise. The exercise action screen 840 also includes an angle display 844 showing an angle of a body part being exercised. The angle display 844 may show, for example, a knee flex angle measured by the goniometer 84 that is attached to the patient's knee.



FIG. 16 shows an example progress data screen 880 of the patient interface 50. The progress data screen 880 presents a progress graph 882 for each of several different parameters related to the treatment plan 154. For example, the progress graphs 882 may include historical data for straightening and bending of the knee pain, strength (lbs. pressure), and walking (steps per day). The progress graphs 882 may show identical data or data similar to what is presented on the treatment parameter graphs 136 of the clinician interface 20.


In some embodiments, a computer, such as the server 30, is configured to automatically modify the treatment plan 154 in response to satisfaction by the patient of a predetermined condition. For example, the treatment plan 154 may be limited in speed, velocity, or pressure settings or number of sessions per day until a predetermined condition is satisfied. In another example, the treatment plan 154 may include only certain types of session periods, such as passive type exercises, until the predetermined condition is satisfied. The predetermined condition may include, for example, a successful post-operative checkup; or completion of a predetermined number of sessions or satisfying a performance benchmark within the treatment plan. Such a benchmark may include, for example, walking X number of steps in a day, or some given RPM speed or a given number of pounds of force using the treatment apparatus 70. In some embodiments, the computer is configured to increase at least one of a frequency, a duration, or an intensity of an aspect of the treatment plan 154 in response to performance or occurrence of the predetermined condition. In some embodiments, the computer is configured to decrease at least one of a frequency, a duration, or an intensity of an aspect of the treatment plan 154 in response to a performance or occurrence of the condition. The predetermined condition may include, for example, the patient reporting pain in excess of a given value, or an inability to complete one or more activities within the treatment plan 154, or a sudden decrease in walking performed by the patient.


In some embodiments, the patient interface 50 may provide a prompt to the patient in response to occurrence of the predetermined condition. For example, in a session period where the patient is expected to maintain the stationary cycling machine at a speed of between 40 and 50 RPM, the predetermined condition may include the cycling machine operating below 30 RPM for a period of 5 seconds. In that case, the patient interface 50 may provide a prompt asking the patient if they are having trouble or pain in performing the activity. The prompts may narrow down a problem. For example, if the patient is unable to perform a given activity, then a computer, such as the server 30, may automatically modify the treatment plan 154 to include activities that are easier for the patient to complete, such as only passive or only assisted session periods. Alternatively, the treatment plan 154 may be suspended until the clinician or another qualified person, such as an orthopedic surgeon, directs the system 10 to re-enable the treatment plan 154. Additionally or alternatively, the patient's responses to the prompts may generate an alert to the clinician.


In some embodiments, the system may communicate an alert message to the clinician using a communication message, such as a pager message or a text message or an email. The alert message may include pseudonymized data and/or anonymized data or use any privacy enhancing technology to prevent confidential patient data from being communicated in a way that could violate patient confidentiality requirements. Such privacy enhancing technologies may enable compliance with laws, regulations, or other rules of governance such as, but not limited to, the Health Insurance Portability and Accountability Act (HIPAA), or the General Data Protection Regulation (GDPR), wherein the patient may be deemed a “data subject”. For example, an alert message may direct the clinician that a particular type of alert exists, such as a patient reporting wound splitting, without identifying which patient made the report. The alert message may direct the clinician to check the clinician interface 20 for more specific details regarding the alert.


According to further aspects, the computer-implemented system 10 may be configured to automatically modify one or more parameters of the treatment plan based upon progress made by the patient in performing the treatment plan. For example, the server 30 may be configured to adjust one or more settings, such as frequency of sessions, a range of motion setting, and/or a pressure setting based on how the patient is progressing in the treatment plan. In some embodiments, the parameters available to be modified by the system may be adjusted within a corresponding range of values set by the clinician. For example, the clinician interface 20 may present one or more controls for the clinician to set a range of values that the system can use for each of the adjustable parameters. The system 10 may use an algorithm to add more sessions (e.g., if the patient is behind schedule). Alternatively, the system 10 may accelerate ahead to more difficult sessions if the recovery is proceeding faster than expected.



FIG. 17 shows an example method 1700 for persuasively motivating a patient to use a treatment apparatus 70. The method 1700 is performed by processing logic that may include hardware (circuitry, dedicated logic, etc.), software (such as is run on a general-purpose computer system or a dedicated machine), or a combination of both. The method 1700 and/or each of its individual functions, routines, other methods, scripts, subroutines, or operations may be performed by one or more processors of a computing device (e.g., any component referenced in any of the FIGs., such as interfaces, servers, treatment apparatuses, sensors, etc.). In certain implementations, the method 1700 may be performed by a single processing thread. Alternatively, the method 1700 may be performed by two or more processing threads, each thread implementing one or more individual functions or routines; or other methods, scripts, subroutines, or operations of the methods.


For simplicity of explanation, the method 1700 is depicted and described as a series of operations. However, operations in accordance with this disclosure can occur in various orders and/or concurrently, and/or with other operations not presented and described herein. For example, the operations depicted in the method 1700 may occur in combination with any other operation of any other method disclosed herein. Furthermore, not all illustrated operations may be required to implement the method 1700 in accordance with the disclosed subject matter. In addition, those skilled in the art will understand and appreciate that the method 1700 could alternatively be represented as a series of interrelated states via a state diagram, a directed graph, a deterministic finite state automaton, a non-deterministic finite state automaton, a Bayesian model, a Markov diagram, or an event diagram.


At 1702, while the patient uses a treatment apparatus 70, the processing device may control, based on a treatment plan for a patient, the treatment apparatus 70. In some embodiments, the processing device may be separate from the treatment apparatus 70. For example, the processing device may be included in the patient interface, in a server, in the clinician interface, in any other interface discussed herein, in a sensor, in a computing device, or the like. In some embodiments, the processing device may be included in the treatment apparatus 70. In some embodiments, the treatment plan is a physical rehabilitation regimen for improving strength or range of motion of a body part.


At 1704, the processing device may receive data from an electronic device (e.g., patient interface, computing device of an individual (patient, clinician, staff member, nurse, etc.), clinician interface, sensor internal or external to the treatment apparatus 70, or any some combination thereof). The data may include one of a position of a body part of the patient or a force exerted by the body part. The data may include a measurement (e.g., pressure measurement from a sensor in a pedal of the treatment apparatus, speed of a motor operating within the treatment apparatus 70, range of motion (of a limb of the patient) received from a goniometer, etc.) pertaining to performance of a treatment plan by a patient using the treatment apparatus 70, a characteristic (e.g., a heartrate, a blood pressure, a percentage or other measurement of blood oxygen, a glucose level, a temperature, a perspiration rate, a pain level, etc.) pertaining to the patient, or both. In some embodiments, the body part is a joint, and the position of the body part comprises an angle of the joint. In some embodiments, the body part may include at least one of a joint, a bone, or a muscle group.


At 1706, the processing device may store the data for the patient in a computer-readable medium. At 1708, the processing device may cause a user interface to be presented on a patient interface. The user interface may include an adjustment confirmation control configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part. In some embodiments, the adjustment confirmation control may be configured to solicit the response regarding the patient's comfort level with the force exerted by the body part. In some embodiments, the adjustment confirmation control may be configured to solicit the response regarding the patient's comfort level with the position of the body part. In some embodiments, the processing device may cause presentation of a user interface on a clinician interface, wherein the user interface comprises information regarding the one of the position of the body part or the force exerted by the body part. Causing a user interface to be presented on any computing device may include transmitting data and/or computer instructions to the computing device. The computing device may use the data and/or execute the instructions to present the user interface on a display screen. The user interface may be included in a standalone application executing on the computing device and/or in an application (website) executing within another application (web browser).


Clauses:


1. A method comprising:

    • while the a patient uses a treatment apparatus, controlling, based on a treatment plan for the patient, the treatment apparatus;
    • receiving, by a processing device, data from an electronic device, wherein the data comprises one of a position of a body part of the patient or a force exerted by the body part;
    • storing, via the processing device, the data for the patient in a computer-readable medium;
    • causing, via a processing device, presentation of a user interface on a patient interface, wherein the user interface comprises an adjustment confirmation control, and the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.


2. The method of clause 1, wherein the processing device is separate from the treatment apparatus, and the method further comprises using the processing device separate from the treatment apparatus to perform the controlling of the treatment apparatus.


3. The method of clause 1, wherein the treatment plan is a physical rehabilitation regimen for improving strength or range of motion of the body part.


4. The method of clause 1, wherein the adjustment confirmation control is configured to solicit the response regarding the patient's comfort level with the force exerted by the body part.


5. The method of clause 1, wherein the adjustment confirmation control is configured to solicit the response regarding the patient's comfort level with the position of the body part.


6. The method of clause 5, wherein the body part is a joint, and the position of the body part comprises an angle of the joint.


7. The method of clause 1, further comprising causing, via the processing device, presentation of a user interface on a clinician interface, wherein the user interface comprises information regarding the one of the position of the body part or the force exerted by the body part.


8. A computer-implemented system for physical rehabilitation, comprising:

    • a clinician interface comprising a patient profile display, wherein the patient profile display is configured to present data regarding performance, by a patient, of a regimen for a body part, the body part comprising at least one of a joint, a bone, or a muscle group;
    • a sensor configured to measure one of a position of the body part or a force exerted by the body part;
    • a patient interface including an output device and an input device configured to communicate information respectively to and from the patient regarding the performance of the regimen;
    • the patient interface configured to present instructions and status information regarding the performance of the regimen; and
    • the patient interface configured to present an adjustment confirmation control, wherein the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with the one of the position of the body part or the force exerted by the body part.


9. The computer-implemented system of clause 8, wherein the regimen is a physical rehabilitation regimen for improving strength or range of motion of the body part.


10. The computer-implemented system of clause 8, wherein the adjustment confirmation control is configured to solicit the response associated with the patient's comfort level with the force exerted by the body part.


11. The computer-implemented system of clause 8, wherein the adjustment confirmation control is configured to solicit the response associated with the patient's comfort level with the position of the body part.


12. The computer-implemented system of clause 11, wherein the body part is a joint, and the position of the body part comprises an angle of the joint.


13. The computer-implemented system of clause 8, wherein the clinician interface is configured to present information regarding the one of the position of the body part or the force exerted by the body part.


14. The computer-implemented system of clause 8, wherein the adjustment confirmation control provides an ICON configured to increase the one of the position of the body part or the force exerted by the body part during the regimen.


15. The computer-implemented system of clause 8, wherein the adjustment confirmation control provides a DCON configured to decrease the one of the position of the body part or the force exerted by the body part during the regimen.


16. The computer-implemented system of clause 8, wherein the adjustment confirmation control provides a SCON configured to maintain the one of the position of the body part or the force exerted by the body part during the regimen.


17. The computer-implemented system of clause 8, wherein the patient interface presents the adjustment confirmation control during or after the regimen.


18. The computer-implemented system of clause 8, further comprising, for performing the regimen, a treatment apparatus configured to be manipulated by the patient.


19. The computer-implemented system of clause 18, wherein the treatment apparatus comprises an actuator configured to adjust the position of the body part.


20. The computer-implemented system of clause 18, wherein the sensor is an internal sensor within the treatment apparatus.


21. A system for remote treatment, comprising:

    • a clinician interface configured to present controls for modifying a treatment plan comprising a regimen for treatment of a body part of a patient, with the body part comprising at least one of a joint, a bone, or a muscle group;
    • a treatment apparatus for performing the regimen upon the body part, the treatment apparatus configured to be manipulated by the patient;
    • a patient interface including an output device and an input device for communicating information respectively to and from the patient regarding the performance of the regimen;
    • wherein the patient interface and the treatment apparatus are each configured to enable operation from a patient location geographically separate from a location of the clinician interface; and
    • the patient interface configured to present an adjustment confirmation control, wherein the adjustment confirmation control is configured to solicit a response regarding the patient's comfort level with one of a position of the body part or a force exerted by the body part.


22. The system of clause 21, wherein the treatment plan comprises a target setting for the one of the position of the body part or the force exerted by the body part.


23. The system of clause 21, wherein the regimen is a physical rehabilitation regimen for improving strength or range of motion of the body part.


24. The system of clause 21, wherein the adjustment confirmation control is configured to solicit the response regarding the patient's comfort level with the position of the body part.


25. The system of clause 24, wherein the body part is a joint, and the position of the body part comprises an angle of the joint.


26. A patient user interface generated by a computer and comprising:

    • a session period action screen configured to present real-time status of a measurement regarding a patient's use of a treatment apparatus for performing a regimen for a body part, the body part comprising at least one of a joint, a bone, or a muscle group;
    • an adjustment confirmation control configured to solicit a response regarding the patient's comfort level with one of a position of the body part or a force exerted by the body part; and
    • wherein the measurement regarding the patient's use of the treatment apparatus includes the one of the position of the body part or the force exerted by the body part.


27. The patient user interface of clause 26, wherein the adjustment confirmation control provides an ICON configured to increase the one of the position of the body part or the force exerted by the body part during the regimen; and

    • wherein the adjustment confirmation control provides a DCON configured to decrease the one of the position of the body part or the force exerted by the body part during the regimen.


28. The patient user interface of clause 26, wherein the adjustment confirmation control provides a SCON configured to maintain the one of the position of the body part or the force exerted by the body part during the regimen.


As will readily be appreciated by a person of ordinary skill of the art in light of having read the present disclosure, as used herein, actions described as being performed in real-time include actions performed in near-real-time without departing from the scope and intent of the present disclosure.


The various aspects, embodiments, implementations, or features of the described embodiments can be used separately or in any combination. The embodiments disclosed herein are modular in nature and can be used in conjunction with or coupled to other embodiments.


Consistent with the above disclosure, the examples of assemblies enumerated in the following clauses are specifically contemplated and are intended as a non-limiting set of examples.

Claims
  • 1. A method comprising: controlling, by a processing device, while a patient uses a treatment apparatus, the treatment apparatus based on a treatment plan for the patient, the treatment plan comprising a setting value of a target force to be exerted by a body part of the patient, the treatment apparatus comprising an actuator configured to produce an external force based on the setting value of the target force;receiving, by the processing device, data from an electronic device, wherein the data comprises a force exerted by the body part of the patient according to the setting value of the target force;storing, via the processing device, the data for the patient in a computer-readable medium; andcausing, via the processing device, presentation of a first user interface on a patient interface, wherein:(i) the first user interface comprises an adjustment confirmation screen,(ii) the adjustment confirmation screen is configured to solicit a response regarding the patient's comfort level with the setting value of the target force, and(iii) the adjustment confirmation screen includes adjustment confirmation controls configured to receive the response regarding the patient's comfort level with the setting value of the target force, andchanging, based on the response regarding the patient's comfort level with the setting value of the target force, the setting value of the target force, wherein the external force produced by the actuator is controlled based on the changed setting value of the target force.
  • 2. The method of claim 1, wherein the processing device is separate from the treatment apparatus.
  • 3. The method of claim 1, wherein the treatment plan is a physical rehabilitation regimen for improving strength.
  • 4. The method of claim 1, further comprising causing, via the processing device, presentation of a second user interface on a clinician interface, wherein the second user interface comprises information regarding the force exerted by the body part.
  • 5. A computer-implemented system for physical rehabilitation, comprising: a clinician interface comprising a patient profile display, wherein the patient profile display is configured to present data regarding performance, by a patient using a treatment apparatus, of a regimen for a body part, wherein the regimen comprising a setting value of a target force to be exerted by the body part, the body part comprising at least one of a joint, a bone, or a muscle group, and the treatment apparatus comprising an actuator configured to produce an external force based on the setting value of the target force;a sensor configured to measure a force exerted by the body part;a patient interface including an output device and an input device configured to communicate information respectively to and from the patient regarding the performance of the regimen;the patient interface configured to present instructions and status information regarding the performance of the regimen; andthe patient interface configured to present an adjustment confirmation control screen, wherein: (i) the adjustment confirmation screen is configured to solicit a response regarding the patient's comfort level with the setting value of the target force,(ii) the adjustment confirmation screen includes adjustment confirmation controls configured to receive the response regarding the patient's comfort level with the setting value of the target force, andwherein, based on the response regarding the patient's comfort level with the setting value of the target force, the setting value of the target force is changed and the external force produced by the actuator is controlled according to the changed setting value of the target force.
  • 6. The computer-implemented system of claim 5, wherein the regimen is a physical rehabilitation regimen for improving strength.
  • 7. The computer-implemented system of claim 5, wherein the clinician interface is further configured to present information regarding the force exerted by the body part.
  • 8. The computer-implemented system of claim 5, wherein the adjustment confirmation controls comprises an increase control configured to increase the setting value of the target force.
  • 9. The computer-implemented system of claim 5, wherein the adjustment confirmation controls comprises a decrease control configured to decrease the setting value of the target force.
  • 10. The computer-implemented system of claim 5, wherein the adjustment confirmation controls comprises a stay control configured to maintain the setting value of the target force.
  • 11. The computer-implemented system of claim 5, wherein the actuator is further configured to adjust a position of the body part.
  • 12. The computer-implemented system of claim 5, wherein the sensor is an internal sensor within the treatment apparatus.
  • 13. A system for remote treatment, comprising: a clinician interface configured to present controls for modifying a treatment plan comprising a regimen for treatment of a body part of a patient, with the body part comprising at least one of a joint, a bone, or a muscle group, and the regimen comprising a setting value of a target force to be exerted by the body part;a treatment apparatus configured to be manipulated by the patient, the treatment apparatus comprising an actuator configured to produce an external force based on the setting value of the target force;a patient interface including an output device and an input device for communicating information respectively to and from the patient regarding the performance of the regimen;wherein the patient interface and the treatment apparatus are each configured to enable operation from a patient location geographically separate from a location of the clinician interface; andthe patient interface configured to present an adjustment confirmation control screen, wherein(i) the adjustment confirmation screen is configured to solicit a response regarding the patient's comfort level with the setting value of the target force,(ii) the adjustment confirmation screen includes adjustment confirmation controls configured to receive the response regarding the patient's comfort level with the setting value of the target force, andwherein, based on the response regarding the patient's comfort level with the setting value of the target force, the setting value of the target force is changed and the external force produced by the actuator is controlled according to the changed setting value of the target force.
  • 14. The system of claim 13, wherein the regimen is a physical rehabilitation regimen for improving strength.
  • 15. A patient user interface generated by a computer and comprising: a session period action screen configured to present real-time status of a measurement regarding a patient's use of a treatment apparatus for performing a regimen for a body part, the body part comprising at least one of a joint, a bone, or a muscle group, the regimen comprising a setting value of the target force to be exerted by the body part during the regimen, and the treatment apparatus comprising an actuator configured to produce an external force based on the setting value of the target force; andan adjustment confirmation screen configured to solicit a response regarding the patient's comfort level with the setting value of the target force, whereinthe adjustment confirmation screen includes adjustment confirmation controls configured to receive the response regarding the patient's comfort level with the setting value of the target force, and based on the response regarding the patient's comfort level with the setting value of the target force, the setting value of the target force is changed and the external force produced by the actuator is controlled according to the changed setting value of the target force; andwherein the measurement regarding the patient's use of the treatment apparatus includes a force exerted by the body part.
  • 16. The patient user interface of claim 15, wherein the adjustment confirmation controls comprises an increase control configured to increase the setting value of the target force, and a decrease control configured to decrease the setting value of the target force.
  • 17. The patient user interface of claim 15, wherein the adjustment confirmation controls comprises a stay control configured to maintain the setting value of the target force.
CROSS-REFERENCES TO RELATED APPLICATIONS

This application claims priority to and the benefit of U.S. Provisional Application Patent Ser. No. 62/923,829 filed Oct. 21, 2019, titled “Persuasive Motivation for Orthopedic Treatment,” the entire disclosure of which is hereby incorporated by reference for all purposes.

US Referenced Citations (500)
Number Name Date Kind
4822032 Whitmore et al. Apr 1989 A
4860763 Schminke Aug 1989 A
4932650 Bingham et al. Jun 1990 A
5137501 Mertesdorf Aug 1992 A
5240417 Smithson et al. Aug 1993 A
5256117 Potts et al. Oct 1993 A
5284131 Gray Feb 1994 A
5429140 Burdea et al. Jul 1995 A
5738636 Saringer et al. Apr 1998 A
6007459 Burgess Dec 1999 A
6110130 Kramer Aug 2000 A
6182029 Friedman Jan 2001 B1
6267735 Blanchard Jul 2001 B1
6273863 Avni et al. Aug 2001 B1
6413190 Wood et al. Jul 2002 B1
6436058 Krahner Aug 2002 B1
6491649 Ombrellaro Dec 2002 B1
6535861 OConnor et al. Mar 2003 B1
6602191 Quy Aug 2003 B2
6613000 Reinkensmeyer et al. Sep 2003 B1
6626805 Lightbody Sep 2003 B1
6652425 Martin et al. Nov 2003 B1
6890312 Priester et al. May 2005 B1
6902513 McClure Jun 2005 B1
7063643 Arai Jun 2006 B2
7156665 OConnor et al. Jan 2007 B1
7156780 Fuchs et al. Jan 2007 B1
7169085 Killin et al. Jan 2007 B1
7209886 Kimmel Apr 2007 B2
7226394 Johnson Jun 2007 B2
RE39904 Lee Oct 2007 E
7507188 Nurre Mar 2009 B2
7594879 Johnson Sep 2009 B2
7628730 Watterson et al. Dec 2009 B1
7778851 Schoenberg et al. Aug 2010 B2
7809601 Shaya et al. Oct 2010 B2
7833135 Radow et al. Nov 2010 B2
7837472 Elsmore et al. Nov 2010 B1
7955219 Birrell et al. Jun 2011 B2
7969315 Ross et al. Jun 2011 B1
7974689 Volpe et al. Jul 2011 B2
7988599 Ainsworth et al. Aug 2011 B2
8038578 Olrik et al. Oct 2011 B2
8079937 Bedell et al. Dec 2011 B2
8287434 Zavadsky et al. Oct 2012 B2
8298123 Hickman Oct 2012 B2
8371990 Shea Feb 2013 B2
8419593 Ainsworth et al. Apr 2013 B2
8465398 Lee et al. Jun 2013 B2
8506458 Dugan Aug 2013 B2
8540515 Williams et al. Sep 2013 B2
8540516 Williams et al. Sep 2013 B2
8556778 Dugan Oct 2013 B1
8607465 Edwards Dec 2013 B1
8613689 Dyer et al. Dec 2013 B2
8672812 Dugan Mar 2014 B2
8751264 Beraja et al. Jun 2014 B2
8784273 Dugan Jul 2014 B2
8818496 Dziubinski et al. Aug 2014 B2
8823448 Shen Sep 2014 B1
8864628 Boyette et al. Oct 2014 B2
8893287 Gjonej et al. Nov 2014 B2
8979711 Dugan Mar 2015 B2
9167281 Petrov et al. Oct 2015 B2
9248071 Benda et al. Feb 2016 B1
9272185 Dugan Mar 2016 B2
9283434 Wu Mar 2016 B1
9311789 Gwin Apr 2016 B1
9312907 Auchinleck et al. Apr 2016 B2
9367668 Flynt et al. Jun 2016 B2
9409054 Dugan Aug 2016 B2
9443205 Wall Sep 2016 B2
9481428 Gros et al. Nov 2016 B2
9566472 Dugan Feb 2017 B2
9579056 Rosenbek et al. Feb 2017 B2
9629558 Yuen et al. Apr 2017 B2
9640057 Ross May 2017 B1
D794142 Zhou Aug 2017 S
9717947 Lin Aug 2017 B2
9737761 Govindarajan Aug 2017 B1
9782621 Chiang et al. Oct 2017 B2
9802076 Murray et al. Oct 2017 B2
9872087 DelloStritto et al. Jan 2018 B2
9872637 Kording et al. Jan 2018 B2
9914053 Dugan Mar 2018 B2
9919198 Romeo et al. Mar 2018 B2
9937382 Dugan Apr 2018 B2
9939784 Berardinelli Apr 2018 B1
9977587 Mountain May 2018 B2
9993181 Ross Jun 2018 B2
10004946 Ross Jun 2018 B2
10074148 Cashman et al. Sep 2018 B2
10089443 Miller et al. Oct 2018 B2
10130298 Mokaya et al. Nov 2018 B2
10130311 De Sapio et al. Nov 2018 B1
10155134 Dugan Dec 2018 B2
10159872 Sasaki et al. Dec 2018 B2
10173094 Gomberg et al. Jan 2019 B2
10173095 Gomberg et al. Jan 2019 B2
10173096 Gomberg et al. Jan 2019 B2
10173097 Gomberg et al. Jan 2019 B2
10198928 Ross et al. Feb 2019 B1
10226663 Gomberg et al. Mar 2019 B2
10325070 Beale et al. Jun 2019 B2
10327697 Stein et al. Jun 2019 B1
10380866 Ross et al. Aug 2019 B1
10424033 Romeo Sep 2019 B2
10430552 Mihai Oct 2019 B2
D866957 Ross et al. Nov 2019 S
10468131 Macoviak et al. Nov 2019 B2
10475323 Ross Nov 2019 B1
10542914 Forth et al. Jan 2020 B2
10546467 Luciano, Jr. et al. Jan 2020 B1
10569122 Johnson Feb 2020 B2
10572626 Balram Feb 2020 B2
10576331 Kuo Mar 2020 B2
10625114 Ercanbrack Apr 2020 B2
10646746 Gomberg et al. May 2020 B1
10660534 Lee et al. May 2020 B2
10678890 Bitran et al. Jun 2020 B2
10685092 Paparella et al. Jun 2020 B2
10777200 Will et al. Sep 2020 B2
D899605 Ross et al. Oct 2020 S
10792495 Izvorski et al. Oct 2020 B2
10867695 Neagle Dec 2020 B2
10874905 Belson et al. Dec 2020 B2
D907143 Ach et al. Jan 2021 S
10918332 Belson et al. Feb 2021 B2
10931643 Neumann Feb 2021 B1
10987176 Poltaretskyi et al. Apr 2021 B2
11000735 Orady et al. May 2021 B2
11045709 Putnam Jun 2021 B2
11065527 Putnam Jul 2021 B2
11069436 Mason et al. Jul 2021 B2
11071597 Posnack et al. Jul 2021 B2
11075000 Mason et al. Jul 2021 B2
D928635 Hacking et al. Aug 2021 S
11087865 Mason et al. Aug 2021 B2
11101028 Mason et al. Aug 2021 B2
11107591 Mason Aug 2021 B1
11139060 Mason et al. Oct 2021 B2
11185735 Am et al. Nov 2021 B2
D939096 Lee Dec 2021 S
D939644 Ach et al. Dec 2021 S
D940797 Ach et al. Jan 2022 S
D940891 Lee Jan 2022 S
11229727 Tatonetti Jan 2022 B2
11270795 Mason et al. Mar 2022 B2
11272879 Wiedenhoefer et al. Mar 2022 B2
11282599 Mason et al. Mar 2022 B2
11282604 Mason et al. Mar 2022 B2
11282608 Mason et al. Mar 2022 B2
11284797 Mason et al. Mar 2022 B2
D948639 Ach et al. Apr 2022 S
11295848 Mason et al. Apr 2022 B2
11309085 Mason et al. Apr 2022 B2
11317975 Mason et al. May 2022 B2
11325005 Mason et al. May 2022 B2
11328807 Mason et al. May 2022 B2
11337648 Mason May 2022 B2
11348683 Guaneri et al. May 2022 B2
11404150 Guaneri et al. Aug 2022 B2
11410768 Mason et al. Aug 2022 B2
11508482 Mason et al. Nov 2022 B2
11515021 Mason Nov 2022 B2
11515028 Mason Nov 2022 B2
11532402 Farley et al. Dec 2022 B2
D976339 Li Jan 2023 S
11541274 Hacking Jan 2023 B2
11636944 Hanrahan et al. Apr 2023 B2
20020072452 Torkelson Jun 2002 A1
20020143279 Porter et al. Oct 2002 A1
20020160883 Dugan Oct 2002 A1
20030036683 Kehr et al. Feb 2003 A1
20030064863 Chen Apr 2003 A1
20030083596 Kramer et al. May 2003 A1
20030181832 Carnahan et al. Sep 2003 A1
20040102931 Ellis et al. May 2004 A1
20040147969 Mann et al. Jul 2004 A1
20040204959 Moreano et al. Oct 2004 A1
20050043153 Krietzman Feb 2005 A1
20060046905 Doody, Jr. et al. Mar 2006 A1
20060064329 Abolfathi et al. Mar 2006 A1
20060199700 LaStayo et al. Sep 2006 A1
20070042868 Fisher et al. Feb 2007 A1
20070118389 Shipon May 2007 A1
20070137307 Gruben et al. Jun 2007 A1
20070173392 Stanford Jul 2007 A1
20070287597 Cameron Dec 2007 A1
20080021834 Holla et al. Jan 2008 A1
20080096726 Riley Apr 2008 A1
20080153592 James-Herbert Jun 2008 A1
20080300914 Karkanias et al. Dec 2008 A1
20090011907 Radow et al. Jan 2009 A1
20090058635 LaLonde et al. Mar 2009 A1
20090070138 Langheier et al. Mar 2009 A1
20090270227 Ashby et al. Oct 2009 A1
20100048358 Tchao et al. Feb 2010 A1
20100121160 Stark et al. May 2010 A1
20100173747 Chen et al. Jul 2010 A1
20100248899 Bedell et al. Sep 2010 A1
20100268304 Matos Oct 2010 A1
20100298102 Bosecker et al. Nov 2010 A1
20110047108 Chakrabarty et al. Feb 2011 A1
20110172059 Watterson et al. Jul 2011 A1
20110195819 Shaw et al. Aug 2011 A1
20110218814 Coats Sep 2011 A1
20110275483 Dugan Nov 2011 A1
20120065987 Farooq et al. Mar 2012 A1
20120116258 Lee May 2012 A1
20120183939 Aragones et al. Jul 2012 A1
20120190502 Paulus et al. Jul 2012 A1
20120232438 Cataldi et al. Sep 2012 A1
20120295240 Walker et al. Nov 2012 A1
20120310667 Altman et al. Dec 2012 A1
20130123667 Komatireddy et al. May 2013 A1
20130137550 Skinner et al. May 2013 A1
20130178334 Brammer Jul 2013 A1
20130211281 Ross et al. Aug 2013 A1
20130296987 Rogers et al. Nov 2013 A1
20130318027 Almogy et al. Nov 2013 A1
20130345025 van der Merwe Dec 2013 A1
20140006042 Keefe et al. Jan 2014 A1
20140011640 Dugan Jan 2014 A1
20140113261 Akiba Apr 2014 A1
20140113768 Lin et al. Apr 2014 A1
20140155129 Dugan Jun 2014 A1
20140172460 Kohli Jun 2014 A1
20140188009 Lange et al. Jul 2014 A1
20140194250 Reich et al. Jul 2014 A1
20140194251 Reich et al. Jul 2014 A1
20140207264 Quy Jul 2014 A1
20140207486 Carty et al. Jul 2014 A1
20140246499 Proud et al. Sep 2014 A1
20140256511 Smith Sep 2014 A1
20140257837 Walker et al. Sep 2014 A1
20140274565 Boyette et al. Sep 2014 A1
20140274622 Leonhard Sep 2014 A1
20140309083 Dugan Oct 2014 A1
20140315689 Vauquelin et al. Oct 2014 A1
20140322686 Kang Oct 2014 A1
20150025816 Ross Jan 2015 A1
20150045700 Cavanagh et al. Feb 2015 A1
20150088544 Goldberg Mar 2015 A1
20150094192 Skwortsow et al. Apr 2015 A1
20150151162 Dugan Jun 2015 A1
20150158549 Gros et al. Jun 2015 A1
20150161331 Oleynik Jun 2015 A1
20150257679 Ross Sep 2015 A1
20150290061 Stafford et al. Oct 2015 A1
20150339442 Oleynik Nov 2015 A1
20150341812 Dion et al. Nov 2015 A1
20150351664 Ross Dec 2015 A1
20150351665 Ross Dec 2015 A1
20150360069 Marti et al. Dec 2015 A1
20150379232 Mainwaring et al. Dec 2015 A1
20160007885 Basta et al. Jan 2016 A1
20160117471 Belt et al. Apr 2016 A1
20160140319 Stark et al. May 2016 A1
20160151670 Dugan Jun 2016 A1
20160166881 Ridgel et al. Jun 2016 A1
20160275259 Nolan et al. Sep 2016 A1
20160302721 Wiedenhoefer et al. Oct 2016 A1
20160317869 Dugan Nov 2016 A1
20160322078 Bose et al. Nov 2016 A1
20160325140 Wu Nov 2016 A1
20160332028 Melnik Nov 2016 A1
20160361597 Cole Dec 2016 A1
20170004260 Moturu et al. Jan 2017 A1
20170033375 Ohmori et al. Feb 2017 A1
20170042467 Herr et al. Feb 2017 A1
20170046488 Pereira Feb 2017 A1
20170065851 Deluca et al. Mar 2017 A1
20170080320 Smith Mar 2017 A1
20170095670 Ghaffari et al. Apr 2017 A1
20170095692 Chang et al. Apr 2017 A1
20170095693 Chang et al. Apr 2017 A1
20170106242 Dugan Apr 2017 A1
20170128769 Long et al. May 2017 A1
20170132947 Maeda May 2017 A1
20170136296 Barrera et al. May 2017 A1
20170143261 Wiedenhoefer et al. May 2017 A1
20170147789 Wiedenhoefer et al. May 2017 A1
20170148297 Ross May 2017 A1
20170168555 Munoz et al. Jun 2017 A1
20170181698 Wiedenhoefer et al. Jun 2017 A1
20170190052 Jaekel et al. Jul 2017 A1
20170209766 Riley et al. Jul 2017 A1
20170243028 LaFever et al. Aug 2017 A1
20170265800 Auchinleck et al. Sep 2017 A1
20170266501 Sanders et al. Sep 2017 A1
20170278209 Olsen et al. Sep 2017 A1
20170282015 Wicks et al. Oct 2017 A1
20170300654 Stein et al. Oct 2017 A1
20170312614 Tran et al. Nov 2017 A1
20170329917 McRaith et al. Nov 2017 A1
20170333755 Rider Nov 2017 A1
20170337033 Duyan et al. Nov 2017 A1
20170337334 Stanczak Nov 2017 A1
20170344726 Duffy et al. Nov 2017 A1
20170360586 Dempers et al. Dec 2017 A1
20170368413 Shavit Dec 2017 A1
20180017806 Wang et al. Jan 2018 A1
20180036593 Ridgel et al. Feb 2018 A1
20180052962 Van Der Koijk et al. Feb 2018 A1
20180056104 Cromie et al. Mar 2018 A1
20180071572 Gomberg et al. Mar 2018 A1
20180075205 Moturu et al. Mar 2018 A1
20180078843 Tran et al. Mar 2018 A1
20180085615 Astolfi et al. Mar 2018 A1
20180096111 Wells et al. Apr 2018 A1
20180102190 Hogue et al. Apr 2018 A1
20180116741 Garcia Kilroy et al. May 2018 A1
20180177612 Trabish et al. Jun 2018 A1
20180178061 O'larte et al. Jun 2018 A1
20180199855 Odame et al. Jul 2018 A1
20180200577 Dugan Jul 2018 A1
20180220935 Tadano et al. Aug 2018 A1
20180228682 Bayerlein et al. Aug 2018 A1
20180240552 Tuyl et al. Aug 2018 A1
20180253991 Tang et al. Sep 2018 A1
20180256079 Yang et al. Sep 2018 A1
20180263530 Jung Sep 2018 A1
20180264312 Pompile et al. Sep 2018 A1
20180271432 Auchinleck et al. Sep 2018 A1
20180272184 Vassilaros et al. Sep 2018 A1
20180280784 Romeo et al. Oct 2018 A1
20180296157 Bleich et al. Oct 2018 A1
20180326243 Badi et al. Nov 2018 A1
20180330058 Bates Nov 2018 A1
20180330824 Athey et al. Nov 2018 A1
20180360340 Rehse et al. Dec 2018 A1
20180373844 Ferrandez-Escamez et al. Dec 2018 A1
20190019578 Vaccaro Jan 2019 A1
20190030415 Volpe, Jr. Jan 2019 A1
20190031284 Fuchs Jan 2019 A1
20190046794 Goodall et al. Feb 2019 A1
20190060708 Fung Feb 2019 A1
20190065970 Bonutti et al. Feb 2019 A1
20190066832 Kang Feb 2019 A1
20190076701 Dugan Mar 2019 A1
20190080802 Ziobro et al. Mar 2019 A1
20190088356 Oliver et al. Mar 2019 A1
20190111299 Radcliffe Apr 2019 A1
20190115097 Macoviak et al. Apr 2019 A1
20190117128 Chen et al. Apr 2019 A1
20190118038 Tana et al. Apr 2019 A1
20190126099 Hoang May 2019 A1
20190132948 Longinotti-Buitoni et al. May 2019 A1
20190134454 Mahoney et al. May 2019 A1
20190137988 Cella et al. May 2019 A1
20190167988 Shahriari et al. Jun 2019 A1
20190172587 Park et al. Jun 2019 A1
20190175988 Volterrani et al. Jun 2019 A1
20190183715 Kapure et al. Jun 2019 A1
20190200920 Tien et al. Jul 2019 A1
20190209891 Fung Jul 2019 A1
20190223797 Tran Jul 2019 A1
20190240103 Hepler et al. Aug 2019 A1
20190240541 Denton et al. Aug 2019 A1
20190244540 Errante et al. Aug 2019 A1
20190269343 Ramos Murguialday et al. Sep 2019 A1
20190274523 Bates et al. Sep 2019 A1
20190275368 Maroldi Sep 2019 A1
20190304584 Savolainen Oct 2019 A1
20190366146 Tong et al. Dec 2019 A1
20190388728 Wang et al. Dec 2019 A1
20200066390 Svendrys Feb 2020 A1
20200085300 Kwatra et al. Mar 2020 A1
20200143922 Chekroud et al. May 2020 A1
20200151595 Jayalath et al. May 2020 A1
20200151646 De La Fuente Sanchez May 2020 A1
20200152339 Pulitzer et al. May 2020 A1
20200160198 Reeves et al. May 2020 A1
20200170876 Kapure et al. Jun 2020 A1
20200176098 Lucas et al. Jun 2020 A1
20200197744 Schweighofer Jun 2020 A1
20200221975 Basta et al. Jul 2020 A1
20200267487 Siva Aug 2020 A1
20200275886 Mason Sep 2020 A1
20200289045 Hacking et al. Sep 2020 A1
20200289046 Hacking et al. Sep 2020 A1
20200289879 Hacking et al. Sep 2020 A1
20200289880 Hacking et al. Sep 2020 A1
20200289881 Hacking et al. Sep 2020 A1
20200289889 Hacking et al. Sep 2020 A1
20200293712 Potts et al. Sep 2020 A1
20200334972 Gopalakrishnan Oct 2020 A1
20200357299 Patel et al. Nov 2020 A1
20200395112 Ronner Dec 2020 A1
20200401224 Cotton Dec 2020 A1
20210005319 Otsuki et al. Jan 2021 A1
20210035674 Volosin et al. Feb 2021 A1
20210074178 Ilan et al. Mar 2021 A1
20210076981 Hacking et al. Mar 2021 A1
20210077860 Posnack et al. Mar 2021 A1
20210098129 Neumann Apr 2021 A1
20210101051 Posnack et al. Apr 2021 A1
20210127974 Mason et al. May 2021 A1
20210128080 Mason et al. May 2021 A1
20210128255 Mason et al. May 2021 A1
20210128978 Gilstrom et al. May 2021 A1
20210134412 Guaneri et al. May 2021 A1
20210134425 Mason et al. May 2021 A1
20210134428 Mason et al. May 2021 A1
20210134430 Mason et al. May 2021 A1
20210134432 Mason et al. May 2021 A1
20210134456 Posnack et al. May 2021 A1
20210134457 Mason et al. May 2021 A1
20210134458 Mason et al. May 2021 A1
20210134463 Mason et al. May 2021 A1
20210138304 Mason et al. May 2021 A1
20210142875 Mason et al. May 2021 A1
20210142893 Guaneri et al. May 2021 A1
20210142898 Mason et al. May 2021 A1
20210142903 Mason et al. May 2021 A1
20210144074 Guaneri et al. May 2021 A1
20210186419 Van Ee et al. Jun 2021 A1
20210202090 ODonovan et al. Jul 2021 A1
20210202103 Bostic et al. Jul 2021 A1
20210244998 Hacking et al. Aug 2021 A1
20210245003 Turner Aug 2021 A1
20210343384 Purushothaman et al. Nov 2021 A1
20210345879 Mason et al. Nov 2021 A1
20210345975 Mason et al. Nov 2021 A1
20210350888 Guaneri et al. Nov 2021 A1
20210350898 Mason et al. Nov 2021 A1
20210350899 Mason et al. Nov 2021 A1
20210350901 Mason et al. Nov 2021 A1
20210350902 Mason et al. Nov 2021 A1
20210350914 Guaneri et al. Nov 2021 A1
20210350926 Mason et al. Nov 2021 A1
20210361514 Choi et al. Nov 2021 A1
20210366587 Mason et al. Nov 2021 A1
20210383909 Mason et al. Dec 2021 A1
20210391091 Mason Dec 2021 A1
20210398668 Chock et al. Dec 2021 A1
20210407670 Mason et al. Dec 2021 A1
20210407681 Mason et al. Dec 2021 A1
20220000556 Casey et al. Jan 2022 A1
20220015838 Posnack et al. Jan 2022 A1
20220016480 Bissonnette et al. Jan 2022 A1
20220044806 Sanders et al. Feb 2022 A1
20220047921 Bissonnette et al. Feb 2022 A1
20220079690 Mason et al. Mar 2022 A1
20220080256 Am et al. Mar 2022 A1
20220105384 Hacking et al. Apr 2022 A1
20220105385 Hacking et al. Apr 2022 A1
20220115133 Mason et al. Apr 2022 A1
20220118218 Bense et al. Apr 2022 A1
20220126169 Mason Apr 2022 A1
20220133576 Choi et al. May 2022 A1
20220148725 Mason et al. May 2022 A1
20220158916 Mason et al. May 2022 A1
20220193491 Mason et al. Jun 2022 A1
20220230729 Mason et al. Jul 2022 A1
20220238222 Neuberg Jul 2022 A1
20220238223 Mason et al. Jul 2022 A1
20220262483 Rosenberg et al. Aug 2022 A1
20220266094 Mason et al. Aug 2022 A1
20220270738 Mason et al. Aug 2022 A1
20220273985 Jeong et al. Sep 2022 A1
20220273986 Mason Sep 2022 A1
20220288460 Mason Sep 2022 A1
20220288461 Ashley et al. Sep 2022 A1
20220288462 Ashley et al. Sep 2022 A1
20220293257 Guaneri et al. Sep 2022 A1
20220304881 Choi et al. Sep 2022 A1
20220304882 Choi Sep 2022 A1
20220305328 Choi et al. Sep 2022 A1
20220314075 Mason et al. Oct 2022 A1
20220327714 Cook et al. Oct 2022 A1
20220327807 Cook et al. Oct 2022 A1
20220328181 Mason et al. Oct 2022 A1
20220331663 Mason Oct 2022 A1
20220339052 Kim Oct 2022 A1
20220339501 Mason et al. Oct 2022 A1
20220384012 Mason Dec 2022 A1
20220392591 Guaneri et al. Dec 2022 A1
20220395232 Locke Dec 2022 A1
20220401783 Choi Dec 2022 A1
20220415469 Mason Dec 2022 A1
20220415471 Mason Dec 2022 A1
20230013530 Mason Jan 2023 A1
20230014598 Mason et al. Jan 2023 A1
20230048040 Hacking et al. Feb 2023 A1
20230051751 Hacking et al. Feb 2023 A1
20230058605 Mason Feb 2023 A1
20230060039 Mason Feb 2023 A1
20230072368 Mason Mar 2023 A1
20230078793 Mason Mar 2023 A1
20230119461 Mason Apr 2023 A1
20230207124 Walsh et al. Jun 2023 A1
20230215552 Khotilovich et al. Jul 2023 A1
20230245747 Rosenberg et al. Aug 2023 A1
20230245748 Rosenberg et al. Aug 2023 A1
20230245750 Rosenberg et al. Aug 2023 A1
20230245751 Rosenberg et al. Aug 2023 A1
20230253089 Rosenberg et al. Aug 2023 A1
20230263428 Hull et al. Aug 2023 A1
Foreign Referenced Citations (175)
Number Date Country
2698078 Mar 2010 CA
112603295 Feb 2003 CN
2885238 Apr 2007 CN
103473631 Dec 2013 CN
103488880 Jan 2014 CN
104335211 Feb 2015 CN
105683977 Jun 2016 CN
103136447 Aug 2016 CN
105894088 Aug 2016 CN
105930668 Sep 2016 CN
106127646 Nov 2016 CN
106510985 Mar 2017 CN
107066819 Aug 2017 CN
107430641 Dec 2017 CN
107736982 Feb 2018 CN
207220817 Apr 2018 CN
108078737 May 2018 CN
208573971 Mar 2019 CN
110148472 Aug 2019 CN
110215188 Sep 2019 CN
110808092 Feb 2020 CN
111105859 May 2020 CN
111370088 Jul 2020 CN
111790111 Oct 2020 CN
112603295 Apr 2021 CN
114203274 Mar 2022 CN
114632302 Jun 2022 CN
114898832 Aug 2022 CN
110270062 Oct 2022 CN
102018202497 Aug 2018 DE
102018211212 Jan 2019 DE
102019108425 Aug 2020 DE
0383137 Aug 1990 EP
1391179 Feb 2004 EP
2815242 Dec 2014 EP
2869805 May 2015 EP
2997951 Mar 2016 EP
2688472 Apr 2016 EP
3264303 Jan 2018 EP
3323473 May 2018 EP
3627514 Mar 2020 EP
3671700 Jun 2020 EP
3688537 Aug 2020 EP
3731733 Nov 2020 EP
3984508 Apr 2022 EP
3984509 Apr 2022 EP
3984510 Apr 2022 EP
3984511 Apr 2022 EP
3984512 Apr 2022 EP
3984513 Apr 2022 EP
4112033 Jan 2023 EP
2512431 Oct 2014 GB
2003225875 Aug 2003 JP
2005227928 Aug 2005 JP
2013515995 May 2013 JP
3198173 Jun 2015 JP
2019028647 Feb 2019 JP
2019134909 Aug 2019 JP
6573739 Sep 2019 JP
6659831 Mar 2020 JP
6710357 Jun 2020 JP
6775757 Oct 2020 JP
2021027917 Feb 2021 JP
2022521378 Apr 2022 JP
7198364 Dec 2022 JP
7202474 Jan 2023 JP
7231750 Mar 2023 JP
7231751 Mar 2023 JP
7231752 Mar 2023 JP
20020009724 Feb 2002 KR
20020065253 Aug 2002 KR
20110099953 Sep 2011 KR
20140128630 Nov 2014 KR
20150017693 Feb 2015 KR
20150078191 Jul 2015 KR
101580071 Dec 2015 KR
20160093990 Aug 2016 KR
20170038837 Apr 2017 KR
20190029175 Mar 2019 KR
101988167 Jun 2019 KR
101969392 Aug 2019 KR
102055279 Dec 2019 KR
20200025290 Mar 2020 KR
20200029180 Mar 2020 KR
102116664 May 2020 KR
102116968 May 2020 KR
20200056233 May 2020 KR
102120828 Jun 2020 KR
102142713 Aug 2020 KR
102162522 Oct 2020 KR
102173553 Nov 2020 KR
102180079 Nov 2020 KR
102188766 Dec 2020 KR
102196793 Dec 2020 KR
20210006212 Jan 2021 KR
102224188 Mar 2021 KR
102224618 Mar 2021 KR
102246049 Apr 2021 KR
102246050 Apr 2021 KR
102246051 Apr 2021 KR
102246052 Apr 2021 KR
20210052028 May 2021 KR
102264498 Jun 2021 KR
102352602 Jan 2022 KR
102352603 Jan 2022 KR
102352604 Jan 2022 KR
20220004639 Jan 2022 KR
102387577 Apr 2022 KR
102421437 Jul 2022 KR
20220102207 Jul 2022 KR
102467495 Nov 2022 KR
102467496 Nov 2022 KR
102469723 Nov 2022 KR
102471990 Nov 2022 KR
20230019349 Feb 2023 KR
20230019350 Feb 2023 KR
20230026556 Feb 2023 KR
20230026668 Feb 2023 KR
20230040526 Mar 2023 KR
0149235 Jul 2001 WO
0151083 Jul 2001 WO
2001050387 Jul 2001 WO
02062211 Aug 2002 WO
2003043494 May 2003 WO
2005018453 Mar 2005 WO
2006004430 Jan 2006 WO
2008114291 Sep 2008 WO
2009008968 Jan 2009 WO
2012128801 Sep 2012 WO
2013122839 Aug 2013 WO
2014011447 Jan 2014 WO
2014163976 Oct 2014 WO
2015026744 Feb 2015 WO
2015082555 Jun 2015 WO
2016154318 Sep 2016 WO
2017030781 Feb 2017 WO
2017166074 May 2017 WO
2017091691 Jun 2017 WO
2017165238 Sep 2017 WO
2018081795 May 2018 WO
2018171853 Sep 2018 WO
2019022706 Jan 2019 WO
WO-2019022706 Jan 2019 WO
2019204876 Apr 2019 WO
2020185769 Mar 2020 WO
2020075190 Apr 2020 WO
2020130979 Jun 2020 WO
2020149815 Jul 2020 WO
2020229705 Nov 2020 WO
2020245727 Dec 2020 WO
2020249855 Dec 2020 WO
2020252599 Dec 2020 WO
2020256577 Dec 2020 WO
2021021447 Feb 2021 WO
2021022003 Feb 2021 WO
2021038980 Mar 2021 WO
2021055427 Mar 2021 WO
2021055491 Mar 2021 WO
2021061061 Apr 2021 WO
2021081094 Apr 2021 WO
2021138620 Jul 2021 WO
2021216881 Oct 2021 WO
2021236542 Nov 2021 WO
2021236961 Nov 2021 WO
2021262809 Dec 2021 WO
2022092493 May 2022 WO
2022092494 May 2022 WO
2022212883 Oct 2022 WO
2022212921 Oct 2022 WO
2022216498 Oct 2022 WO
2022251420 Dec 2022 WO
2023008680 Feb 2023 WO
2023008681 Feb 2023 WO
2023022319 Feb 2023 WO
2023022320 Feb 2023 WO
Non-Patent Literature Citations (42)
Entry
Claris Healthcare Inc.; Claris Reflex Patient Rehabilitation System Brochure, https://clarisreflex.com/, retrieved from internet on Oct. 2, 2019; 5 pages.
International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2021/032807, dated Sep. 6, 2021, 11 pages.
International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US2021/038617, dated Oct. 15, 2021, 12 pages.
Jennifer Bresnick, “What is the Role of Natural Language Processing in Healthcare?”, pp. 1-7, published Aug. 18, 2016, retrieved on Feb. 1, 2022 from https://healthitanalytics.com/ featu res/what-is-the-role-of-natural-language-processing-in-healthcare.
Alex Bellec, “Part-of-Speech tagging tutorial with the Keras Deep Learning library,” pp. 1-16, published Mar. 27, 2018, retrieved on Feb. 1, 2022 from https://becominghuman.ai/part-of-speech-tagging-tutorial-with-the-keras-deep-learning-library-d7f93fa05537.
Kavita Ganesan, All you need to know about text preprocessing for NLP and Machine Learning, pp. 1-14, published Feb. 23, 2019, retrieved on Feb. 1, 2022 from https:// towardsdatascience.com/all-you-need-to-know-about-text-preprocessing-for-nlp-and-machine-learning-bcl c5765ff67.
Badreesh Shetty, “Natural Language Processing (NPL) for Machine Learning,” pp. 1-13, published Nov. 24, 2018, retrieved on Feb. 1, 2022 from https://towardsdatascience. com/natural-language-processing-nlp-for-machine-learning-d44498845d5b.
Barrett et al., “Artificial intelligence supported patient self-care in chronic heart failure: a paradigm shift from reactive to predictive, preventive and personalised care,” EPMA Journal (2019), pp. 445-464.
Oerkild et al., “Home-based cardiac rehabilitation is an attractive alternative to no cardiac rehabilitation for elderly patients with coronary heart disease: results from a randomised clinical trial,” BMJ Open Accessible Medical Research, Nov. 22, 2012, pp. 1-9.
Bravo-Escobar et al., “Effectiveness and safety of a home-based cardiac rehabilitation programme of mixed surveillance in patients with ischemic heart disease at moderate cardiovascular risk: A randomised, controlled clinical trial,” BMC Cardiovascular Disorders, 2017, pp. 1-11, vol. 17:66.
Thomas et al., “Home-Based Cardiac Rehabilitation,” Circulation, 2019, pp. e69-e89, vol. 140.
Thomas et al., “Home-Based Cardiac Rehabilitation,” Journal of the American College of Cardiology, Nov. 1, 2019, pp. 133-153, vol. 74.
Thomas et al., “Home-Based Cardiac Rehabilitation,” HHS Public Access, Oct. 2, 2020, pp. 1-39.
Dittus et al., “Exercise-Based Oncology Rehabilitation: Leveraging the Cardiac Rehabilitation Model,” Journal of Cardiopulmonary Rehabilitation and Prevention, 2015, pp. 130-139, vol. 35.
Chen et al., “Home-based cardiac rehabilitation improves quality of life, aerobic capacity, and readmission rates in patients with chronic heart failure,” Medicine, 2018, pp. 1-5 vol. 97:4.
Lima de Melo Ghisi et al., “A systematic review of patient education in cardiac patients: Do they increase knowledge and promote health behavior change?,” Patient Education and Counseling, 2014, pp. 1-15.
Fang et al., “Use of Outpatient Cardiac Rehabilitation Among Heart Attack Survivors—20 States and the District of Columbia, 2013 and Four States, 2015,” Morbidity and Mortality Weekly Report, vol. 66, No. 33, Aug. 25, 2017, pp. 869-873.
Beene et al., “AI and Care Delivery: Emerging Opportunities For Artificial Intelligence To Transform How Care Is Delivered,” Nov. 2019, American Hospital Association, pp. 1-12.
Website for “Pedal Exerciser”, p. 1, retrieved on Sep. 9, 2022 from https://www.vivehealth.com/collections/physical-therapy-equipment/products/pedalexerciser.
Website for “Functional Knee Brace with ROM”, p. 1, retrieved on Sep. 9, 2022 from http://medicalbrace.gr/en/product/functional-knee-brace-with-goniometer-mbtelescopicknee/.
Website for “ComfySplints Goniometer Knee”, pp. 1-5, retrieved on Sep. 9, 2022 from https://www.comfysplints.com/product/knee-splints/.
Website for “BMI FlexEze Knee Corrective Orthosis (KCO)”, pp. 1-4, retrieved on Sep. 9, 2022 from https://orthobmi.com/products/bmi-flexeze%C2%AE-knee-corrective-orthosis-kco.
Website for “Neoprene Knee Brace with goniometer—Patella ROM MB.4070”, pp. 1-4, retrieved on Sep. 9, 2022 from https://www.fortuna.com.gr/en/product/neoprene-knee-brace-with-goniometer-patella-rom-mb-4070/.
Kuiken et al., “Computerized Biofeedback Knee Goniometer: Acceptance and Effect on Exercise Behavior in Post-total Knee Arthroplasty Rehabilitation,” Biomedical Engineering Faculty Research and Publications, 2004, pp. 1-10.
Ahmed et al., “Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine,” Database, 2020, pp. 1-35.
Davenport et al., “The potential for artificial intelligence in healthcare,” Digital Technology, Future Healthcare Journal, 2019, pp. 1-5, vol. 6, No. 2.
Website for “OxeFit XS1”, pp. 1-3, retrieved on Sep. 9, 2022 from https://www.oxefit.com/xs1.
Website for “Preva Mobile”, pp. 1-6, retrieved on Sep. 9, 2022 from https://www.precor.com/en-us/resources/introducing-preva-mobile.
Website for “J-Bike”, pp. 1-3, retrieved on Sep. 9, 2022 from https://www.magneticdays.com/en/cycling-for-physical-rehabilitation.
Website for “Excy”, pp. 1-12, retrieved on Sep. 9, 2022 from https://excy.com/portable-exercise-rehabilitation-excy-xcs-pro/.
Website for “OxeFit XP1”, p. 1, retrieved on Sep. 9, 2022 from https://www.oxefit.com/xp1.
Davenport et al., “The Potential For Artificial Intelligence In Healthcare”, 2019, Future Healthcare Journal 2019, vol. 6, No. 2: Year: 2019, pp. 1-5.
Ahmed et al., “Artificial Intelligence With Multi-Functional Machine Learning Platform Development For Better Healthcare And Precision Medicine”, 2020, Database (Oxford), 2020:baaa010. doi: 10.1093/database/baaa010 (Year: 2020), pp. 1-35.
Ruiz Ivan et al., “Towards a physical rehabilitation system using a telemedicine approach”, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, vol. 8, No. 6, Jul. 28, 2020, pp. 671-680, XP055914810.
De Canniere Helene et al., “Wearable Monitoring and Interpretable Machine Learning Can Objectively Track Progression in Patients during Cardiac Rehabilitation”, Sensors, vol. 20, No. 12, Jun. 26, 2020, XP055914617, pp. 1-15.
Boulanger Pierre et al., “A Low-cost Virtual Reality Bike for Remote Cardiac Rehabilitation”, Dec. 7, 2017, Advances in Biometrics: International Conference, ICB 2007, Seoul, Korea, pp. 155-166.
Yin Chieh et al., “A Virtual Reality-Cycling Training System for Lower Limb Balance Improvement”, BioMed Research International, vol. 2016, pp. 1-10.
Jeong et al., “Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform,” Sep. 2012, pp. 1-5, 34th Annual International Conference of the IEEE EMBS.
Malloy, Online Article “AI-enabled EKGs find difference between numerical age and biological age significantly affects health, longevity”, Website: https://newsnetwork.mayoclinic.org/discussion/ai-enabled-ekgs-find-difference-between-numerical-age-and-biological-age-significantly-affects health-longevity/, Mayo Clinic News Network, May 20, 2021, retrieved: Jan. 23, 2023, p. 1-4.
International Search Report and Written Opinion for PCT/US2023/014137, dated Jun. 9, 2023, 13 pages.
Website for “Esino 2022 Physical Therapy Equipments Arm Fitness Indoor Trainer Leg Spin Cycle Machine Exercise Bike for Elderly,” https://www.made-in-china.com/showroom/esinogroup/product-detailYdZtwGhCMKVR/China-Esino-2022-Physical-Therapy-Equipments-Arm-Fitness-Indoor-Trainer-Leg-Spin-Cycle-Machine-Exercise-Bike-for-Elderly.html, retrieved on Aug. 29, 2023, 5 pages.
Abedtash, “An Interoperable Electronic Medical Record-Based Platform For Personalized Predictive Analytics”, ProQuest LLC, Jul. 2017, 185 pages.
Related Publications (1)
Number Date Country
20210113890 A1 Apr 2021 US
Provisional Applications (1)
Number Date Country
62923829 Oct 2019 US