Telemedicine for orthopedic treatment

Description

BACKGROUND

Remote medical assistance, or telemedicine, may aid a patient in performing various aspects of a rehabilitation regimen for a body part. The patient may use a patient interface in communication with an assistant interface for receiving the remote medical assistance via audio and/or audiovisual communications.

SUMMARY

A computer-implemented system is provided. The computer-implemented system comprises a patient interface comprising an output device and an input device. The output device is configured to communicate information to a patient regarding the patient's performance of a treatment plan for the patient. The treatment plan comprises a rehabilitation regimen for a body part comprising at least one of a joint, a bone, or a muscle group. The computer-implemented system also comprises a treatment apparatus configured to be manipulated by the patient for performing the rehabilitation regimen upon the body part. The computer-implemented system also comprises an assistant interface remote from the patient interface and configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal comprises one of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, or an apparatus control signal for changing an operating parameter of the treatment apparatus.

A system for remote treatment is also provided. The system for remote treatment comprises a patient interface having an output device and an input device for communicating information to and from a patient. The system for remote treatment also comprises a treatment apparatus configured to be manipulated by the patient for performing a rehabilitation regimen upon the body part, with the body part comprising at least one of a joint, a bone, or a muscle group. The system for remote treatment also comprises an assistant interface configured to communicate a telemedicine signal with the patient interface via a network connection, the telemedicine signal configured to control one of the patient interface or the treatment apparatus. The patient interface and the treatment apparatus are each configured to operate from a patient location geographically separated from the assistant interface.

An assistant user interface generated by a computer is also provided. The assistant user interface comprises an apparatus control having an apparatus status display and an apparatus session control configured to adjust an operating parameter of a treatment apparatus. The treatment apparatus is configured to be manipulated by a patient for performing a rehabilitation regimen upon a body part. The assistant user interface also comprises a patient communications control for controlling an audio or an audiovisual communications session with a patient interface, where the patient interface is configured for use by the patient while performing the rehabilitation regimen upon the body part.

BRIEF DESCRIPTION OF THE DRAWINGS

The disclosure is best understood from the following detailed description when read in conjunction with the accompanying drawings. It is emphasized that, according to common practice, the various features of the drawings are not to-scale. On the contrary, the dimensions of the various features are arbitrarily expanded or reduced for clarity.

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 an assistant interface;

FIG. 6 shows an example embodiment of a positioning confirmation screen of a patient interface;

FIG. 7 shows an example embodiment of a positioning help screen of a patient interface;

FIG. 8 shows an example embodiment of a session period action screen of a patient interface; and

FIG. 9 illustrates example operations of a method for initiating a telemedicine session using a patient interface and an assistant interface according to certain embodiments of this disclosure.

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.

Moreover, various functions described below can be implemented or supported by one or more computer programs, each of which is formed from computer readable program code and embodied in a computer readable storage medium. The terms “application” and “program” refer to one or more computer programs, software components, sets of instructions, procedures, functions, methods, objects, classes, instances, related data, or a portion thereof adapted for implementation in a suitable computer readable program code. The phrase “computer readable program code” includes any type of computer code, including source code, object code, and executable code. The phrase “computer readable storage medium” includes any type of medium capable of being accessed by a computer, such as read only memory (ROM), random access memory (RAM), a hard disk drive, a flash drive, a compact disc (CD), a digital video disc (DVD), solid state drive (SSD), or any other type of memory. A “non-transitory” computer readable storage medium excludes wired, wireless, optical, or other communication links that transport transitory electrical or other signals. A non-transitory computer-readable storage medium includes media where data can be permanently stored and media where data can be stored and later overwritten, such as a rewritable optical disc or an erasable memory device.

The terms “transmit,” “receive,” and “communicate,” as well as derivatives thereof, encompass both direct and indirect communication. The terms “transmit,” “receive,” and “communicate,” as well as derivatives thereof, encompass both communication with remote systems and communication within a system, including reading and writing to different portions of a memory device. The term “controller” means any device, system or part thereof that controls at least one operation. Such a controller may be implemented in hardware or a combination of hardware and software and/or firmware. The functionality associated with any particular controller may be centralized or distributed, whether locally or remotely.

A “treatment plan” may include one or more treatment protocols, and each treatment protocol includes one or more treatment sessions. Each treatment session comprises several session periods, with each session period including a particular exercise 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. A treatment plan may also include information pertaining to a medical procedure to perform on the patient, a treatment protocol for the patient using a treatment device, a diet regimen for the patient, a medication regimen for the patient, a sleep regimen for the patient, additional regimens, or some combination thereof.

The terms telemedicine, telehealth, telemed, teletherapeutic, telemedicine, etc. may be used interchangeably herein.

DETAILED DESCRIPTION

The following discussion is directed to various embodiments of the invention. 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 treatment sessions. Each treatment 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 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. 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 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 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. 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, a tendon, 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 an angle of the patient's body part. 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 shown in FIG. 1 also includes a supervisory interface 90 which may be similar or identical to the clinician interface 20. In some embodiments, the supervisory interface 90 may have enhanced functionality beyond what is provided on the clinician interface 20. The supervisory interface 90 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 92 which may be similar or identical to the clinician interface 20. In some embodiments, the reporting interface 92 may have less functionality from what is provided on the clinician interface 20. For example, the reporting interface 92 may not have the ability to modify a treatment plan. Such a reporting interface 92 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 92 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 92 may be used, for example, by a researcher to determine various effects of a treatment plan on different patients.

The system 10 includes an assistant interface 94 for an assistant, such as a doctor, a nurse, a physical therapist, or a technician, to remotely communicate with the patient interface 50 and/or the treatment apparatus 70. Such remote communications may enable the assistant to provide assistance or guidance to a patient using the system 10. More specifically, the assistant interface 94 is configured to communicate a telemedicine signal 96, 97, 98a, 98b, 99a, 99b with the patient interface 50 via a network connection such as, for example, via the first network 34 and/or the second network 58. The telemedicine signal 96, 97, 98a, 98b, 99a, 99b comprises one of an audio signal 96, an audiovisual signal 97, an interface control signal 98a for controlling a function of the patient interface 50, an interface monitor signal 98b for monitoring a status of the patient interface 50, an apparatus control signal 99a for controlling the treatment apparatus 70 (e.g., by changing an operating parameter (a speed of the motor, a resistive force of the pedals, a degree of motion provided by the pedal(s), etc.) of the treatment apparatus 70), an environmental change signal for controlling another electronic device (e.g., thermostat, speaker, light, door, appliance, etc.) that is proximate (e.g., within the same physical space) to the treatment apparatus 70 and/or the patient interface 50, and/or an apparatus monitor signal 99b for monitoring a status of the treatment apparatus 70. In some embodiments, the environmental change signal may cause the electronic device to change a temperature, change an air pressure, change an ambient setting, change an audio setting, etc. In some embodiments, each of the control signals 98a, 99a may be unidirectional, conveying commands from the assistant interface 94 to the patient interface 50. In some embodiments, in response to successfully receiving a control signal 98a, 99a and/or to communicate successful and/or unsuccessful implementation of the requested control action, an acknowledgement message may be sent from the patient interface 50 to the assistant interface 94. In some embodiments, each of the monitor signals 98b, 99b may be unidirectional, status-information commands from the patient interface 50 to the assistant interface 94. In some embodiments, an acknowledgement message may be sent from the assistant interface 94 to the patient interface 50 in response to successfully receiving one of the monitor signals 98b, 99b.

In some embodiments, the patient interface 50 may be configured as a pass-through for the apparatus control signals 99a and the apparatus monitor signals 99b between the treatment apparatus 70 and one or more other devices, such as the assistant interface 94 and/or the server 30. For example, the patient interface 50 may be configured to transmit an apparatus control signal 99a in response to an apparatus control signal 99a within the telemedicine signal 96, 97, 98a, 98b, 99a, 99b from the assistant interface 94.

In some embodiments, the assistant interface 94 may be presented on a shared physical device as the clinician interface 20. For example, the clinician interface 20 may include one or more screens that implement the assistant interface 94. Alternatively or additionally, the clinician interface 20 may include additional hardware components, such as a video camera, a speaker, and/or a microphone, to implement aspects of the assistant interface 94.

In some embodiments, one or more portions of the telemedicine signal 96, 97, 98a, 98b, 99a, 99b may be generated from a prerecorded source (e.g., an audio recording, a video recording, or an animation) for presentation by the output device 54 of the patient interface 50. For example, a tutorial video may be streamed from the server 30 and presented upon the patient interface 50. Content from the prerecorded source may be requested by the patient via the patient interface 50. Alternatively, via a control on the assistant interface 94, the assistant may cause content from the prerecorded source to be played on the patient interface 50.

The assistant interface 94 includes an assistant input device 22 and an assistant display 24, which may be collectively called an assistant user interface 22, 24. The assistant input device 22 may include one or more of a telephone, a keyboard, a mouse, a trackpad, or a touch screen, for example. Alternatively or additionally, the assistant input device 22 may include one or more microphones. In some embodiments, the one or more microphones may take the form of a telephone handset, headset, or wide-area microphone or microphones configured for the assistant to speak to a patient via the patient interface 50. In some embodiments, assistant input device 22 may be configured to provide voice-based functionalities, with hardware and/or software configured to interpret spoken instructions by the assistant by using the one or more microphones. The assistant 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 assistant input device 22 may include other hardware and/or software components. The assistant input device 22 may include one or more general purpose devices and/or special-purpose devices.

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

In some embodiments, the system 10 may provide computer translation of language from the assistant interface 94 to the patient interface 50 and/or vice-versa. The computer translation of language may include computer translation of spoken language and/or computer translation of text. Additionally or alternatively, the system 10 may provide voice recognition and/or spoken pronunciation of text. For example, the system 10 may convert spoken words to printed text and/or the system 10 may audibly speak language from printed text. The system 10 may be configured to recognize spoken words by any or all of the patient, the clinician, and/or the assistant. In some embodiments, the system 10 may be configured to recognize and react to spoken requests or commands by the patient. For example, the system 10 may automatically initiate a telemedicine session in response to a verbal command by the patient (which may be given in any one of several different languages).

In some embodiments, the server 30 may generate aspects of the assistant display 24 for presentation by the assistant interface 94. For example, the server 30 may include a web server configured to generate the display screens for presentation upon the assistant display 24. In some embodiments, the assistant display 24 may be configured to present a virtualized desktop hosted by the server 30. In some embodiments, the server 30 may be configured to communicate with the assistant interface 94 via the 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 assistant interface 94 may be secured via privacy enhancing technologies, such as, for example, by using encryption over a virtual private network (VPN). Alternatively or additionally, the server 30 may be configured to communicate with the assistant interface 94 via one or more networks independent of the first network 34 and/or other communication means, such as a direct wired or wireless communication channel. In some embodiments, the patient interface 50 and the treatment apparatus 70 may each operate from a patient location geographically separate from a location of the assistant interface 94. 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 aided remotely by using the assistant interface 94 at a centralized location, such as a clinic or a call center.

In some embodiments, the assistant interface 94 may be one of several different terminals that may be grouped together, for example, in one or more call centers or at one or more clinicians' offices. In some embodiments, a plurality of assistant interfaces 94 may be distributed geographically. In some embodiments, a person may work as an assistant remotely from any conventional office infrastructure. Such remote work may be performed, for example, where the assistant interface 94 takes the form of a computer and/or telephone. This remote work functionality may allow for work-from-home arrangements that may include part time and/or flexible work hours for an assistant.

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 102 for measuring an amount of force applied by the patient on the pedal 102. 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 102 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 102 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 patient 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 assistant interface 94. Specifically, the overview display 120 presents several different controls and interfaces for the assistant to remotely assist a patient with using the patient interface 50 and/or the treatment apparatus 70. This remote assistance functionality may also be called telemedicine.

Specifically, the overview display 120 includes a patient profile display 130 presenting biographical information regarding a patient using the treatment apparatus. The patient profile display 130 may take the form of a portion or region of the overview display 120, as shown in FIG. 5, although the patient profile display 130 may take other forms, such as a separate screen or a popup window. In some embodiments, the patient profile display 130 may include a limited subset of the patient's biographical information. More specifically, the data presented upon the patient profile display 130 may depend upon the assistant's need for that information. For example, a medical professional that is assisting the patient with a medical issue may be provided with medical history information regarding the patient, whereas a technician troubleshooting an issue with the treatment apparatus 70 may be provided with a much more limited set of information regarding the patient. The technician, for example, may be given only the patient's name. The patient profile display 130 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”. In some embodiments, the patient profile display 130 may present information regarding the treatment plan for the patient to follow in using the treatment apparatus 70. Such treatment plan information may be limited to an assistant who is a medical professional, such as a doctor or physical therapist. For example, a medical professional assisting the patient with an issue regarding the treatment regimen may be provided with treatment plan information, whereas a technician troubleshooting an issue with the treatment apparatus 70 may not be provided with any information regarding the patient's treatment plan.

The example overview display 120 shown in FIG. 5 also includes a patient status display 134 presenting status information regarding a patient using the treatment apparatus. The patient status display 134 may take the form of a portion or region of the overview display 120, as shown in FIG. 5, although the patient status display 134 may take other forms, such as a separate screen or a popup window. The patient status display 134 includes sensor data 136 from one or more of the external sensors 82, 84, 86, and/or from one or more internal sensors 76 of the treatment apparatus 70. In some embodiments, the patient status display 134 may present other data 138 regarding the patient, such as last reported pain level, or progress within a treatment plan.

User access controls may be used to limit access, including what data is available to be viewed and/or modified, on any or all of the user interfaces 20, 50, 90, 92, 94 of the system 10. In some embodiments, user access controls may be employed to control what information is available to any given person using the system 10. For example, data presented on the assistant interface 94 may be controlled by user access controls, with permissions set depending on the assistant/user's need for and/or qualifications to view that information.

The example overview display 120 shown in FIG. 5 also includes a help data display 140 presenting information for the assistant to use in assisting the patient. The help data display 140 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The help data display 140 may take other forms, such as a separate screen or a popup window. The help data display 140 may include, for example, presenting answers to frequently asked questions regarding use of the patient interface 50 and/or the treatment apparatus 70. The help data display 140 may also include research data or best practices. In some embodiments, the help data display 140 may present scripts for answers or explanations in response to patient questions. In some embodiments, the help data display 140 may present flow charts or walk-throughs for the assistant to use in determining a root cause and/or solution to a patient's problem. In some embodiments, the assistant interface 94 may present two or more help data displays 140, which may be the same or different, for simultaneous presentation of help data for use by the assistant. For example, a first help data display may be used to present a troubleshooting flowchart to determine the source of a patient's problem, and a second help data display may present script information for the assistant to read to the patient, such information to preferably include directions for the patient to perform some action, which may help to narrow down or solve the problem. In some embodiments, based upon inputs to the troubleshooting flowchart in the first help data display, the second help data display may automatically populate with script information.

The example overview display 120 shown in FIG. 5 also includes a patient interface control 150 presenting information regarding the patient interface 50, and/or to modify one or more settings of the patient interface 50. The patient interface control 150 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The patient interface control 150 may take other forms, such as a separate screen or a popup window. The patient interface control 150 may present information communicated to the assistant interface 94 via one or more of the interface monitor signals 98b. As shown in FIG. 5, the patient interface control 150 includes a display feed 152 of the display presented by the patient interface 50. In some embodiments, the display feed 152 may include a live copy of the display screen currently being presented to the patient by the patient interface 50. In other words, the display feed 152 may present an image of what is presented on a display screen of the patient interface 50. In some embodiments, the display feed 152 may include abbreviated information regarding the display screen currently being presented by the patient interface 50, such as a screen name or a screen number. The patient interface control 150 may include a patient interface setting control 154 for the assistant to adjust or to control one or more settings or aspects of the patient interface 50. In some embodiments, the patient interface setting control 154 may cause the assistant interface 94 to generate and/or to transmit an interface control signal 98 for controlling a function or a setting of the patient interface 50.

In some embodiments, the patient interface setting control 154 may include collaborative browsing or co-browsing capability for the assistant to remotely view and/or control the patient interface 50. For example, the patient interface setting control 154 may enable the assistant to remotely enter text to one or more text entry fields on the patient interface 50 and/or to remotely control a cursor on the patient interface 50 using a mouse or touchscreen of the assistant interface 94.

In some embodiments, using the patient interface 50, the patient interface setting control 154 may allow the assistant to change a setting that cannot be changed by the patient. For example, the patient interface 50 may be precluded from accessing a language setting to prevent a patient from inadvertently switching, on the patient interface 50, the language used for the displays, whereas the patient interface setting control 154 may enable the assistant to change the language setting of the patient interface 50. In another example, the patient interface 50 may not be able to change a font size setting to a smaller size in order to prevent a patient from inadvertently switching the font size used for the displays on the patient interface 50 such that the display would become illegible to the patient, whereas the patient interface setting control 154 may provide for the assistant to change the font size setting of the patient interface 50.

The example overview display 120 shown in FIG. 5 also includes an interface communications display 156 showing the status of communications between the patient interface 50 and one or more other devices 70, 82, 84, such as the treatment apparatus 70, the ambulation sensor 82, and/or the goniometer 84. The interface communications display 156 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The interface communications display 156 may take other forms, such as a separate screen or a popup window. The interface communications display 156 may include controls for the assistant to remotely modify communications with one or more of the other devices 70, 82, 84. For example, the assistant may remotely command the patient interface 50 to reset communications with one of the other devices 70, 82, 84, or to establish communications with a new one of the other devices 70, 82, 84. This functionality may be used, for example, where the patient has a problem with one of the other devices 70, 82, 84, or where the patient receives a new or a replacement one of the other devices 70, 82, 84.

The example overview display 120 shown in FIG. 5 also includes an apparatus control 160 for the assistant to view and/or to control information regarding the treatment apparatus 70. The apparatus control 160 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The apparatus control 160 may take other forms, such as a separate screen or a popup window. The apparatus control 160 may include an apparatus status display 162 with information regarding the current status of the apparatus. The apparatus status display 162 may present information communicated to the assistant interface 94 via one or more of the apparatus monitor signals 99b. The apparatus status display 162 may indicate whether the treatment apparatus 70 is currently communicating with the patient interface 50. The apparatus status display 162 may present other current and/or historical information regarding the status of the treatment apparatus 70.

The apparatus control 160 may include an apparatus setting control 164 for the assistant to adjust or control one or more aspects of the treatment apparatus 70. The apparatus setting control 164 may cause the assistant interface 94 to generate and/or to transmit an apparatus control signal 99 for changing an operating parameter of the treatment apparatus 70, (e.g., a pedal radius setting, a resistance setting, a target RPM, etc.). The apparatus setting control 164 may include a mode button 166 and a position control 168, which may be used in conjunction for the assistant to place an actuator 78 of the treatment apparatus 70 in a manual mode, after which a setting, such as a position or a speed of the actuator 78, can be changed using the position control 168. The mode button 166 may provide for a setting, such as a position, to be toggled between automatic and manual modes. In some embodiments, one or more settings may be adjustable at any time, and without having an associated auto/manual mode. In some embodiments, the assistant may change an operating parameter of the treatment apparatus 70, such as a pedal radius setting, while the patient is actively using the treatment apparatus 70. Such “on the fly” adjustment may or may not be available to the patient using the patient interface 50. In some embodiments, the apparatus setting control 164 may allow the assistant to change a setting that cannot be changed by the patient using the patient interface 50. For example, the patient interface 50 may be precluded from changing a preconfigured setting, such as a height or a tilt setting of the treatment apparatus 70, whereas the apparatus setting control 164 may provide for the assistant to change the height or tilt setting of the treatment apparatus 70.

The example overview display 120 shown in FIG. 5 also includes a patient communications control 170 for controlling an audio or an audiovisual communications session with the patient interface 50. The communications session with the patient interface 50 may comprise a feed from the assistant interface 94 for presentation by the output device of the patient interface 50. In some embodiments, the feed is live (e.g., real-time or near real-time). In some embodiments, the feed is prerecorded and may be played, paused, fast-forwarded, stopped, and/or replayed. The feed may take the form of an audio feed and/or a video feed. In some embodiments, the patient interface 50 may be configured to provide two-way audio communications, two-way audiovisual communications, two-way visual communications, two-way haptic communications, two-way environmental communications, or two-way communications using on each side of the communications one of the foregoing means, where the means on one side and the means on the other side are different, with a person using the assistant interface 94. Specifically, the communications session with the patient interface 50 may include bidirectional (two-way) video or audiovisual feeds, with each of the patient interface 50 and the assistant interface 94 presenting video of the other one. In some embodiments, the patient interface 50 may present video from the assistant interface 94, while the assistant interface 94 presents only audio or the assistant interface 94 presents no live audio or visual signal from the patient interface 50. In some embodiments, the assistant interface 94 may present video from the patient interface 50, while the patient interface 50 presents only audio or the patient interface 50 presents no live audio or visual signal from the assistant interface 94.

In some embodiments, the audio or an audiovisual communications session with the patient interface 50 may take place, at least in part, while the patient is performing the rehabilitation regimen upon the body part. The patient communications control 170 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The patient communications control 170 may take other forms, such as a separate screen or a popup window. The audio and/or audiovisual communications may be processed and/or directed by the assistant interface 94 and/or by another device or devices, such as a telephone system, or a videoconferencing system used by the assistant while the assistant uses the assistant interface 94. Alternatively or additionally, the audio and/or audiovisual communications may include communications with a third party. For example, the system 10 may enable the assistant to initiate a 3-way conversation regarding use of a particular piece of hardware or software, with the patient and a subject matter expert, such as a medical professional or a specialist. The example patient communications control 170 shown in FIG. 5 includes call controls 172 for the assistant to use in managing various aspects of the audio or audiovisual communications with the patient. The call controls 172 include a disconnect button 174 for the assistant to end the audio or audiovisual communications session. The call controls 172 also include a mute button 176 to temporarily silence an audio or audiovisual signal from the assistant interface 94. In some embodiments, the call controls 172 may include other features, such as a hold button (not shown). The call controls 172 also include one or more record/playback controls 178, such as record, play, and pause buttons to control, with the patient interface 50, recording and/or playback of audio and/or video from the teleconference session. The call controls 172 also include a video feed display 180 for presenting still and/or video images from the patient interface 50, and a self-video display 182 showing the current image of the assistant using the assistant interface. The self-video display 182 may be presented as a picture-in-picture format, within a section of the video feed display 180, as shown in FIG. 5. Alternatively or additionally, the self-video display 182 may be presented separately and/or independently from the video feed display 180.

The example overview display 120 shown in FIG. 5 also includes a third party communications control 190 for use in conducting audio and/or audiovisual communications with a third party. The third party communications control 190 may take the form of a portion or region of the overview display 120, as shown in FIG. 5. The third party communications control 190 may take other forms, such as a display on a separate screen or a popup window. The third party communications control 190 may include one or more controls, such as a contact list and/or buttons or controls to contact a third party regarding use of a particular piece of hardware or software, e.g., a subject matter expert, such as a medical professional or a specialist. The third party communications control 190 may include conference calling capability for the third party to simultaneously communicate with both the assistant via the assistant interface 94, and with the patient via the patient interface 50. For example, the system 10 may provide for the assistant to initiate a 3-way conversation with the patient and the third party.

FIG. 6 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. 7 shows an example embodiment of a positioning help screen 560 of the patient interface 50. This positioning 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 a tutorial request button 562 for the patient to obtain additional prerecorded instructions for using the treatment apparatus 70. The help screen 560 may include a live assistance request button 563 for the patient to initiate a telemedicine session with a remote assistant by using the assistant interface 94.

In some embodiments, an operator or dispatcher may receive an initial request for assistance from the patient interface 50. The operator or dispatcher may forward the request for assistance to an assistant available and/or to an assistant qualified or suited to help the patient with a particular problem or inquiry. For example, medical questions regarding the patient's body may be forwarded to an assistant having medical qualifications, such as a doctor or a nurse. Technical questions regarding operation or use of the treatment apparatus 70 may be forwarded to a technician having training and/or experience with the treatment apparatus 70. In some embodiments, the operator or dispatcher may be equipped and authorized to answer some questions that are frequently asked and/or which do not require specialized knowledge or training.

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. 8 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. The session period action screen 760 includes an on-screen E-stop control 642 as a stop button for stopping the treatment apparatus 70, which may be present on all screens of the patient interface 50 during the treatment session. The session period action screen 760 also includes a help button 644, which may be present on several or all of the screens of the patient interface 50, and which functions as a manual control for the patient to initiate a telemedicine session with a remote assistant by using the assistant interface 94.

In some embodiments, a telemedicine session with the assistant interface may be initiated by the patient interface 50 in response to a predetermined condition of the treatment apparatus 70. For example, if a patient is unable to meet certain performance criteria, such as RPM or a force upon one of the pedals, or if the patient's performance of an activity using the treatment apparatus 70 is outside of normal use by that patient, then the system 10 may be configured to automatically initiate the telemedicine session wherein an assistant checks to see if the patient needs help.

FIG. 9 illustrates example operations of a method 900 for initiating a telemedicine session using a patient interface 50 and an assistant interface 94 according to certain embodiments of this disclosure. The method 900 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 900 and/or each of their individual functions, routines, subroutines, or operations may be performed by one or more processors of a computing device (e.g., any component of FIG. 1, such as patient interface 50, assistant interface server 94, server 30, clinical interface 20, supervisory interface 90, reporting interface 92, treatment apparatus 70, etc.). In certain implementations, the method 900 may be performed by a single processing thread. Alternatively, the method 900 may be performed by two or more processing threads, each thread implementing one or more individual functions, routines, subroutines, or operations of the methods.

For simplicity of explanation, the method 900 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 with other operations not presented and described herein. For example, the operations depicted in the method 900 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 900 in accordance with the disclosed subject matter. In addition, those skilled in the art will understand and appreciate that the method 900 could alternatively be represented as a series of interrelated states via a state diagram or events.

At 902, the processing device may receive, at the patient interface 50, data from one or more sources. In some embodiments, the one or more sources may include a sensor (e.g., pressure or force sensor, goniometer, wearable sensor, etc.), the treatment apparatus 70, an input peripheral (e.g., touchscreen, mouse, keyboard, microphone, camera, etc.) of the patient interface 50, or some combination thereof. In some embodiments, the data may include a sensor measurement (e.g., force measurement from a pressure sensor of the pedal, a range of motion measurement from the goniometer, a vital sign from a wearable, a temperature of the patient from a thermometer, etc.), an answer (e.g., a pain level, whether the exercise is too difficult, etc.) to a question presented on the patient interface 50, a vital sign (e.g., heartrate, blood pressure, etc.), a characteristic of the user, or some combination thereof.

The data may be received while a user (patient) is operating the treatment apparatus 70 to perform a treatment plan. The treatment plan may include a rehabilitation regimen for a body part. In some embodiments, the body part may include at least one of a joint, a bone, a ligament, a tendon, or a muscle group.

At 904, the processing device may determine, based on the data, whether a trigger event has occurred. In some embodiments, the trigger event may include receiving a response to one or more questions presented on the patient interface 50, where the response is an answer to the one or more questions. In some embodiments, the trigger event may include determining a condition of the treatment apparatus 70 (e.g., the patient is not exerting a threshold level of force on the pressure sensor of the pedal, the patient is not able to pedal at a particular range of motion setting, etc.).

At 906, responsive to determining the trigger event has occurred and using the patient interface 50 and the assistant interface 94, the processing device may electronically initiate the telemedicine session. Initiating the telemedicine session may include two-way communication between the patient interface 50 and the assistant interface 94 that triggers an application installed as a stand-alone application or within another application (e.g., website in a web browser) on each of the patient interface 50 and assistant interface 94 to execute computer instructions. The execution of the computer instructions may control the application to initiate the telemedicine session, where the telemedicine session can include audio, visual, audiovisual, or the like. In some embodiments, a portion of a user interface of the application executing on the assistant interface 94 and the patient interface 50 may present a video feed of each respective participant (e.g., the patient feed is presented on the assistant interface 94 and the assistant feed is presented on the patient interface 50).

In some embodiments, the processing device may cause presentation of the data on the assistant interface 94 by transmitting the data to the assistant interface 94. In some embodiments, the processing device may receive, from the assistant interface 94, a telemedicine signal including one of an audio signal, an audiovisual signal, a visual signal, a haptic signal, an environmental change signal, an interface control signal for controlling a function of the patient interface 50, or an apparatus control signal for changing an operating parameter of the treatment apparatus 70.

In some embodiments, the processing device may cause, during the telemedicine session, a patient profile display to be presented on the assistant interface 94. The patient profile display may include information related to the treatment plan for the patient, and the treatment plan may be related to how the patient is intended to use the treatment apparatus.

Any of the systems and methods described in this disclosure may be used in connection with rehabilitation. Rehabilitation may be directed at cardiac rehabilitation, rehabilitation from stroke, multiple sclerosis, Parkinson's disease, a brain injury, a spinal cord injury, a spinal cord disease, a joint injury, a joint disease, or the like. Rehabilitation can further involve muscular contraction improving blood flow and lymphatic flow, engaging the brain and nervous system to control and affect a traumatized area to increase the speed of healing, reversing or reducing pain, reversing or reducing stiffness, recovering range of motion, cardiovascular engagement to stimulate the release of pain blocking hormones and encourage freshly oxygenated blood flow to aid in an overall feeling of well-being. Rehabilitation may be provided for individuals of average height in reasonably good physical condition having no substantial deformities, as well as individuals more typically in need of rehabilitation, such as those that are elderly, obese, injured and/or have a severely limited range of motion. Unless expressly stated otherwise, is to be understood that rehabilitation includes prehabilitation (also referred to as “prehabilitation” or “prehab”). Prehabilitation may be used as a preventative procedure or as a pre-surgical or pre-treatment procedure. Prehabilitation may include any action performed by or on a patient (or directed to be performed by or on a patient, including, without limitation, remotely or distally through telemedicine) to, without limitation, prevent or reduce a likelihood of injury (e.g., prior to the occurrence of the injury); improve recovery time subsequent to surgery; improve strength subsequent to surgery; or any of the foregoing with respect to any non-surgical clinical treatment plan to be undertaken for the purpose of ameliorating or mitigating injury, dysfunction, or other negative consequence of surgical or non-surgical treatment on any external or internal part of a patient's body. For example, a mastectomy may require prehabilitation to strengthen muscles or muscle groups affected directly or indirectly by the mastectomy. As a further non-limiting example, the removal of an intestinal tumor, the repair of a hernia, open-heart surgery or other procedures performed on internal organs or structures, whether to repair those organs or structures, to excise them or parts of them, to treat them, etc., can require cutting through and harming numerous muscles and muscle groups in or about, without limitation, the abdomen, the ribs and/or the thoracic cavity. Prehabilitation can improve a patient's speed of recovery, measure of quality of life, level of pain, etc. in all the foregoing procedures. In one embodiment of prehabilitation, a pre-surgical procedure or a pre-non-surgical-treatment may include one or more sets of exercises for a patient to perform prior to such procedure or treatment. Performance of the one or more sets of exercises may be required in order to qualify for an elective surgery, such as a knee replacement. The patient may prepare an area of his or her body for the surgical procedure by performing the one or more sets of exercises, thereby strengthening muscle groups, improving existing muscle memory, reduce pain, reduce stiffness, establishing new muscle memory, enhancing mobility (i.e., improve range of motion), improving blood flow, and/or the like.

In some embodiments, the systems and methods described herein may use artificial intelligence and/or machine learning to generate the treatment plan for a user. Additionally, or alternatively, the systems and methods described herein may use artificial intelligence and/or machine learning to recommend an optimal exercise machine configuration for a user. Additionally, or alternatively, the systems and methods described herein may use artificial intelligence and/or machine learning to control the treatment apparatus during a telemedicine session or not during the telemedicine session. an optimal exercise machine configuration for a user.

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.

1. A computer-implemented system, comprising: a patient interface comprising an output device and an input device, the output device configured to communicate information to a patient regarding the patient's performance of a treatment plan for the patient, the treatment plan comprising a rehabilitation regimen for a body part; a treatment apparatus configured to be manipulated by the patient for performing the rehabilitation regimen upon the body part; an assistant interface remote from the patient interface and configured to communicate, via a network connection, a telemedicine signal to the patient interface; wherein the telemedicine signal comprises one of an audio signal, an audiovisual signal, a visual signal, a haptic signal, an environmental change signal, an interface control signal for controlling a function of the patient interface, or an apparatus control signal for changing an operating parameter of the treatment apparatus.

2. The computer-implemented system of claim 1, wherein the one of the audio signal, the audiovisual signal, the visual signal, the haptic signal, or the environmental change signal includes a feed from the assistant interface, and the feed is configured to be presented by the output device of the patient interface.

3. The computer-implemented system of claim 1, wherein the telemedicine signal is generated from a prerecorded source, and the telemedicine signal is configured to be presented by the output device of the patient interface.

4. The computer-implemented system of claim 1, wherein the patient interface is configured to transmit an apparatus monitor signal to the assistant interface, and the apparatus monitor signal includes status information related to the treatment apparatus.

5. The computer-implemented system of claim 1, wherein, to effect a change to an operating parameter of the treatment apparatus, the telemedicine signal is configured to comprise the apparatus control signal from the assistant interface.

6. The computer-implemented system of claim 1, wherein the patient interface is configured to provide two-way audio communications, two-way audiovisual communications, two-way visual communications, two-way haptic communications, two-way environmental communications with a person using the assistant interface, or two-way communications using on each side of the communications one of the foregoing means, where the means on one side and the means on the other side are different.

7. The computer-implemented system of claim 1, wherein the patient interface includes a manual control such that the patient uses the assistant interface to initiate a telemedicine session.

8. The computer-implemented system of claim 1, wherein the patient interface is configured to solicit answers to one or more questions from the patient; and wherein predetermined answers to the one or more questions are configured to enable a telemedicine session to be initiated, wherein the telemedicine session uses the assistant interface.

9. The computer-implemented system of claim 1, wherein a predetermined condition of the treatment apparatus causes the patient interface to initiate a telemedicine session, wherein the telemedicine session uses the assistant interface.

10. The computer-implemented system of claim 1, further comprising a clinician interface, wherein such interface includes a protocol management display presenting controls for modifying a treatment protocol within the treatment plan; and wherein the assistant interface is presented on a physical device shared with the clinician interface.

11. The computer-implemented system of claim 1, further comprising a server computer configured to store data related to one of the treatment plan or the patient; and wherein the assistant interface is configured to be in communication with a server for receiving the data related to the one of the treatment plan or the patient.

12. The computer-implemented system of claim 1, wherein the body part comprises at least one of a joint, a bone, a ligament, a tendon, or a muscle group.

13. A system for remote treatment, comprising: a patient interface comprising an output device and an input device for communicating information to and from a patient; a treatment apparatus configured to be manipulated by the patient for performing a rehabilitation regimen upon a body part; an assistant interface configured to communicate a telemedicine signal with the patient interface via a network connection, the telemedicine signal configured to control one of the patient interface or the treatment apparatus; and wherein the patient interface and the treatment apparatus are each configured to operate from a patient location geographically separated from the assistant interface.

14. The system of claim 13, wherein the assistant interface includes a control for changing a setting of one of the patient interface or the treatment apparatus; and wherein the assistant interface is configured to change the setting of the one of the patient interface or the treatment apparatus when the setting cannot be changed by the patient using the patient interface.

15. The system of claim 13, wherein the patient interface is configured to transmit a control signal to the treatment apparatus in response to receiving the telemedicine signal from the assistant interface.

16. The system of claim 13, wherein the body part comprises at least one of a joint, a bone, a ligament, a tendon, or a muscle group.

17. An assistant user interface generated by a computer and comprising: an apparatus control comprising an apparatus status display and an apparatus session control, the apparatus session control configured to adjust an operating parameter of a treatment apparatus, the treatment apparatus configured to be manipulated by a patient for performing a rehabilitation regimen upon a body part; a patient communications control for controlling an audio or an audiovisual communications session with a patient interface, the patient interface configured for use by the patient such that the patient is able to perform the rehabilitation regimen upon the body part.

18. The assistant user interface of claim 17, further comprising a patient interface control presenting information related to the patient interface.

19. The assistant user interface of claim 18, wherein the information related to the patient interface comprises an image presented on a display screen of the patient interface.

20. The assistant user interface of claim 18, wherein the patient interface control further includes a setting control for adjusting a setting of the patient interface.

21. The assistant user interface of claim 17, further comprising a patient profile display presenting biographical information related to the patient using the treatment apparatus.

22. The assistant user interface of claim 17, further comprising a patient profile display presenting information related to a treatment plan for the patient, wherein the treatment plan is related to how the patient is intended to use the treatment apparatus.

23. A method for initiating a telemedicine session using an assistant interface and a patient interface, the method comprising: receiving, at the patient interface, data from one or more sources, wherein the data is received while a user is operating a treatment apparatus to perform a treatment plan, the treatment plan comprising a rehabilitation regimen for a body part; determining, based on the data, whether a trigger event has occurred; and responsive to determining the trigger event has occurred, using the patient interface and the assistant interface to electronically initiate the telemedicine session.

24. The method of claim 23, further comprising: causing presentation of the data on the assistant interface; and receiving, from the assistant interface, a telemedicine signal comprising one of an audio signal, an audiovisual signal, a visual signal, a haptic signal, an environmental change signal, an interface control signal for controlling a function of the patient interface, or an apparatus control signal for changing an operating parameter of the treatment apparatus.

25. The method of claim 23, wherein the one or more sources comprise a sensor, the treatment apparatus, an input peripheral of the patient interface, or some combination thereof.

26. The method of claim 23, wherein the data comprises a sensor measurement, an answer to a question presented on the patient interface, a vital sign, a characteristic of the user, or some combination thereof.

27. The method of claim 23, wherein the trigger event comprises receiving a response to one or more questions presented on the patient interface.

28. The method of claim 23, wherein the trigger event comprises determining a condition of the treatment apparatus.

29. The method of claim 23, wherein the body part comprises at least one of a joint, a bone, a ligament, a tendon, or a muscle group.

30. The method of claim 23, further causing, during the telemedicine session, a patient profile display to be presented on the assistant interface, wherein the patient profile display comprises information related to the treatment plan for the patient, and the treatment plan is related to how the patient is intended to use the treatment apparatus.

The above discussion is meant to be illustrative of the principles and various embodiments of the present invention. Numerous variations and modifications will become apparent to those skilled in the art once the above disclosure is fully appreciated. It is intended that the following claims be interpreted to embrace all such variations and modifications.

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 computer-implemented system, comprising: a patient interface comprising an output device and an input device, the output device configured to communicate information to a patient regarding the patient's performance of a treatment plan for the patient, the treatment plan comprising using an electromechanical device to perform a rehabilitation regimen for a body part;an assistant interface remote from the patient interface and configured to transmit, via a network connection, a telemedicine signal to the patient interface;wherein the telemedicine signal comprises one of an audio signal, an audiovisual signal, a visual signal, a haptic signal, an environmental change signal, an interface control signal for controlling a function of the patient interface, or an apparatus control signal for changing an operating parameter of the electromechanical device.
2. The computer-implemented system of claim 1, further comprising the electromechanical device configured to be used by the patient to perform the rehabilitation regimen upon the body part.
3. The computer-implemented system of claim 2, wherein the patient interface is configured to transmit an apparatus monitor signal to the assistant interface, and the apparatus monitor signal includes status information related to the electromechanical device.
4. The computer-implemented system of claim 2, wherein, to effect a change to an operating parameter of the electromechanical device, the telemedicine signal is configured to comprise the apparatus control signal from the assistant interface.
5. The computer-implemented system of claim 2, wherein a predetermined characteristic of the electromechanical device causes the patient interface to initiate a telemedicine session, wherein the telemedicine session uses the assistant interface.
6. The computer-implemented system of claim 1, wherein the one of the audio signal, the audiovisual signal, the visual signal, the haptic signal, or the environmental change signal includes a feed from the assistant interface, and the feed is configured to be presented by the output device of the patient interface.
7. The computer-implemented system of claim 1, wherein the telemedicine signal is generated from a prerecorded source, and the telemedicine signal is configured to be presented by the output device of the patient interface.
8. The computer-implemented system of claim 1, wherein the patient interface is configured to provide two-way audio communication, two-way audiovisual communication, two-way visual communication, two-way haptic communication, two-way environmental communication with a person using the assistant interface, or two-way communication using on each side of the communication one of the foregoing means, where the means on one side and the means on the other side are different.
9. The computer-implemented system of claim 1, wherein the patient interface includes a control such that the patient is enabled to use the assistant interface to initiate a telemedicine session.
10. The computer-implemented system of claim 1, wherein the patient interface is configured to present one or more questions and to receive one or more answers to the one or more questions; and wherein predetermined answers to the one or more questions are configured to enable a telemedicine session to be initiated, wherein the telemedicine session uses the assistant interface.
11. The computer-implemented system of claim 1, further comprising a clinician interface, wherein such interface includes a protocol management display presenting controls for modifying a treatment protocol within the treatment plan; and wherein the assistant interface is presented on a device shared with the clinician interface.
12. The computer-implemented system of claim 1, further comprising a server computer configured to store data related to at least one of the treatment plan or the patient; and wherein the assistant interface is configured to be in communication with a server for receiving the data related to the one of the treatment plan or the patient.
13. The computer-implemented system of claim 1, wherein the body part comprises at least one of a joint, a bone, a ligament, a tendon, or a muscle group.
14. A system for remote treatment, comprising: a patient interface comprising an output device and an input device for communicating information to and from a patient;an assistant interface configured to transmit a telemedicine signal with the patient interface via a network connection, the telemedicine signal configured to control one of the patient interface or an electromechanical device; andwherein the patient interface and the electromechanical device are each configured to operate from a patient location geographically separated from the assistant interface.
15. The system of claim 14, further comprising the electromechanical device configured to be used by the patient to perform a rehabilitation regimen upon a body part.
16. The system of claim 15, wherein the assistant interface includes a control for changing a setting of one of the patient interface or the electromechanical device; and wherein the assistant interface is configured to change the setting of the one of the patient interface or the electromechanical device when the setting cannot be changed by the patient using the patient interface.
17. The system of claim 15, wherein the patient interface is configured to transmit a control signal to the electromechanical device in response to receiving the telemedicine signal from the assistant interface.
18. The system of claim 14, wherein the body part comprises at least one of a joint, a bone, a ligament, a tendon, or a muscle group.
19. An assistant user interface generated by a computer and comprising: an apparatus control comprising an apparatus status display and an apparatus session control, the apparatus session control configured to adjust an operating parameter of an electromechanical device;a patient communications control for controlling an audio or an audiovisual communications session with a patient interface, the patient interface configured for use by the patient such that the patient is able to perform the rehabilitation regimen upon a body part.
20. The assistant user interface of claim 19, wherein the electromechanical device is configured to be manipulated by a patient for performing a rehabilitation regimen upon a body part.

CROSS-REFERENCES TO RELATED APPLICATIONS

This application is a continuation of U.S. patent application Ser. No. 17/021,895, filed Sep. 15, 2020, titled “Telemedicine for Orthopedic Treatment”, which claims priority to and the benefit of U.S. Provisional Patent Application Ser. No. 62/910,232 filed Oct. 3, 2019, titled “Telemedicine for Orthopedic Treatment”, the entire disclosures of which are hereby incorporated by reference for all purposes.

US Referenced Citations (655)

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
5356356	Hildebrandt	Oct 1994	A
D359777	Hildebrandt	Jun 1995	S
5429140	Burdea et al.	Jul 1995	A
5738636	Saringer et al.	Apr 1998	A
6007459	Burgess	Dec 1999	A
D421075	Hildebrandt	Feb 2000	S
6110130	Kramer	Aug 2000	A
6162189	Girone et al.	Dec 2000	A
6182029	Friedman	Jan 2001	B1
6267735	Blanchard et al.	Jul 2001	B1
6273863	Avni et al.	Aug 2001	B1
6413190	Wood et al.	Jul 2002	B1
6436058	Krahner et al.	Aug 2002	B1
6450923	Vatti	Sep 2002	B1
6491649	Ombrellaro	Dec 2002	B1
6514085	Slattery et al.	Feb 2003	B2
6535861	OConnor et al.	Mar 2003	B1
6601016	Brown et al.	Jul 2003	B1
6602191	Quy	Aug 2003	B2
6613000	Reinkensmeyer et al.	Sep 2003	B1
6626800	Casler	Sep 2003	B1
6626805	Lightbody	Sep 2003	B1
6652425	Martin et al.	Nov 2003	B1
6902513	McClure	Jun 2005	B1
7058453	Nelson et al.	Jun 2006	B2
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
D610635	Hildebrandt	Feb 2010	S
7778851	Schoenberg et al.	Aug 2010	B2
7809601	Shaya et al.	Oct 2010	B2
7815551	Merli	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
8012107	Einav et al.	Sep 2011	B2
8021270	D'Eredita	Sep 2011	B2
8038578	Olrik et al.	Oct 2011	B2
8079937	Bedell	Dec 2011	B2
8113991	Kutliroff	Feb 2012	B2
8177732	Einav et al.	May 2012	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
8515777	Rajasenan	Aug 2013	B1
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
8845493	Watterson et al.	Sep 2014	B2
8849681	Hargrove et al.	Sep 2014	B2
8864628	Boyette et al.	Oct 2014	B2
8893287	Gjonej et al.	Nov 2014	B2
8911327	Boyette	Dec 2014	B1
8979711	Dugan	Mar 2015	B2
9004598	Weber	Apr 2015	B2
9248071	Brenda	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
9474935	Abbondanza et al.	Oct 2016	B2
9481428	Gros	Nov 2016	B2
9514277	Hassing et al.	Dec 2016	B2
9566472	Dugan	Feb 2017	B2
9629558	Yuen et al.	Apr 2017	B2
9640057	Ross	May 2017	B1
9707147	Levital et al.	Jul 2017	B2
D794142	Zhou	Aug 2017	S
9717947	Lin	Aug 2017	B2
9737761	Govindarajan	Aug 2017	B1
9757612	Weber	Sep 2017	B2
9782621	Chiang et al.	Oct 2017	B2
9802076	Murray et al.	Oct 2017	B2
9802081	Ridgel et al.	Oct 2017	B2
9813239	Chee et al.	Nov 2017	B2
9827445	Marcos et al.	Nov 2017	B2
9849337	Roman et al.	Dec 2017	B2
9868028	Shin	Jan 2018	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
D826349	Oblamski	Aug 2018	S
10055550	Goetz	Aug 2018	B2
10058473	Oshima et al.	Aug 2018	B2
10089443	Miller et al.	Oct 2018	B2
10111643	Shulhauser et al.	Oct 2018	B2
10130298	Mokaya et al.	Nov 2018	B2
10130311	De Sapio et al.	Nov 2018	B1
10137328	Baudhuin	Nov 2018	B2
10143395	Chakravarthy et al.	Dec 2018	B2
10155134	Dugan	Dec 2018	B2
10159872	Sasaki et al.	Dec 2018	B2
10173094	Gomberg	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
10231664	Ganesh	Mar 2019	B2
10244990	Hu et al.	Apr 2019	B2
10258823	Cole	Apr 2019	B2
10325070	Beale et al.	Jun 2019	B2
10327697	Stein et al.	Jun 2019	B1
10369021	Zoss et al.	Aug 2019	B2
10380866	Ross et al.	Aug 2019	B1
10413238	Cooper	Sep 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
10475537	Purdie et al.	Nov 2019	B2
10492977	Kapure et al.	Dec 2019	B2
10507358	Kinnunen et al.	Dec 2019	B2
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
10581896	Nachenberg	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
10881911	Kwon et al.	Jan 2021	B2
10918332	Belson et al.	Feb 2021	B2
10931643	Neumann	Feb 2021	B1
10987176	Poltaretskyi et al.	Apr 2021	B2
10991463	Kutzko et al.	Apr 2021	B2
11000735	Orady et al.	May 2021	B2
11045709	Putnam	Jun 2021	B2
11065170	Yang et al.	Jul 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	Arn 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
11278766	Lee	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
11298284	Bayerlein	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
11376470	Weldemariam	Jul 2022	B2
11404150	Guaneri et al.	Aug 2022	B2
11410768	Mason et al.	Aug 2022	B2
11422841	Jeong	Aug 2022	B2
11495355	McNutt et al.	Nov 2022	B2
11508258	Nakashima et al.	Nov 2022	B2
11508482	Mason et al.	Nov 2022	B2
11515021	Mason	Nov 2022	B2
11515028	Mason	Nov 2022	B2
11524210	Kim et al.	Dec 2022	B2
11527326	McNair et al.	Dec 2022	B2
11532402	Farley et al.	Dec 2022	B2
11534654	Silcock et al.	Dec 2022	B2
D976339	Li	Jan 2023	S
11541274	Hacking	Jan 2023	B2
11636944	Hanrahan et al.	Apr 2023	B2
11663673	Pyles	May 2023	B2
11701548	Posnack et al.	Jul 2023	B2
20010044573	Manoli	Nov 2001	A1
20020072452	Torkelson	Jun 2002	A1
20020143279	Porter et al.	Oct 2002	A1
20020160883	Dugan	Oct 2002	A1
20030013072	Thomas	Jan 2003	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
20050049122	Vallone et al.	Mar 2005	A1
20050115561	Stahmann	Jun 2005	A1
20060046905	Doody, Jr. et al.	Mar 2006	A1
20060058648	Meier	Mar 2006	A1
20060064136	Wang	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
20070184414	Perez	Aug 2007	A1
20070194939	Alvarez et al.	Aug 2007	A1
20070219059	Schwartz	Sep 2007	A1
20070287597	Cameron	Dec 2007	A1
20080021834	Holla et al.	Jan 2008	A1
20080082356	Friedlander et al.	Apr 2008	A1
20080096726	Riley et al.	Apr 2008	A1
20080153592	James-Herbert	Jun 2008	A1
20080161733	Einav et al.	Jul 2008	A1
20080281633	Burdea et al.	Nov 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
20090287503	Angell et al.	Nov 2009	A1
20090299766	Friedlander et al.	Dec 2009	A1
20100048358	Tchao et al.	Feb 2010	A1
20100076786	Dalton et al.	Mar 2010	A1
20100121160	Stark et al.	May 2010	A1
20100173747	Chen et al.	Jul 2010	A1
20100216168	Heinzman et al.	Aug 2010	A1
20100248899	Bedell et al.	Sep 2010	A1
20100268304	Matos	Oct 2010	A1
20100298102	Bosecker et al.	Nov 2010	A1
20100326207	Topel	Dec 2010	A1
20110010188	Yoshikawa et al.	Jan 2011	A1
20110047108	Chakrabarty et al.	Feb 2011	A1
20110119212	De Bruin et al.	May 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
20110306846	Osorio	Dec 2011	A1
20120041771	Cosentino et al.	Feb 2012	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
20120259648	Mallon et al.	Oct 2012	A1
20120295240	Walker et al.	Nov 2012	A1
20120296455	Ohnemus 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
20130253943	Lee et al.	Sep 2013	A1
20130274069	Watterson et al.	Oct 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
20140089836	Damani et al.	Mar 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
20140228649	Rayner et al.	Aug 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
20140303540	Baym	Oct 2014	A1
20140309083	Dugan	Oct 2014	A1
20140315689	Vauquelin et al.	Oct 2014	A1
20140322686	Kang	Nov 2014	A1
20140371816	Matos	Dec 2014	A1
20150025816	Ross	Jan 2015	A1
20150045700	Cavanagh et al.	Feb 2015	A1
20150073814	Linebaugh	Mar 2015	A1
20150088544	Goldberg	Mar 2015	A1
20150094192	Skwortsow et al.	Apr 2015	A1
20150099458	Weisner et al.	Apr 2015	A1
20150099952	Lain et al.	Apr 2015	A1
20150141200	Murray et al.	May 2015	A1
20150151162	Dugan	Jun 2015	A1
20150158549	Gros et al.	Jun 2015	A1
20150161331	Oleynik	Jun 2015	A1
20150196805	Koduri	Jul 2015	A1
20150257679	Ross	Sep 2015	A1
20150265209	Zhang	Sep 2015	A1
20150290061	Stafford et al.	Oct 2015	A1
20150339442	Oleynik	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
20150379430	Dirac et al.	Dec 2015	A1
20160007885	Basta	Jan 2016	A1
20160096073	Rahman et al.	Apr 2016	A1
20160117471	Belt et al.	Apr 2016	A1
20160140319	Stark	May 2016	A1
20160143593	Fu et al.	May 2016	A1
20160151670	Dugan	Jun 2016	A1
20160166881	Ridgel et al.	Jun 2016	A1
20160193306	Rabovsky et al.	Jul 2016	A1
20160213924	Coleman	Jul 2016	A1
20160275259	Nolan et al.	Sep 2016	A1
20160287166	Tran	Oct 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
20160354636	Jang	Dec 2016	A1
20160361597	Cole et al.	Dec 2016	A1
20160373477	Moyle	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
20170100637	Princen et al.	Apr 2017	A1
20170106242	Dugan	Apr 2017	A1
20170128769	Long et al.	May 2017	A1
20170132947	Maeda et al.	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
20170202724	De Rossi	Jul 2017	A1
20170209766	Riley et al.	Jul 2017	A1
20170220751	Davis	Aug 2017	A1
20170235882	Orlov et al.	Aug 2017	A1
20170235906	Dorris et al.	Aug 2017	A1
20170243028	LaFever et al.	Aug 2017	A1
20170262604	Francois	Sep 2017	A1
20170265800	Auchinleck et al.	Sep 2017	A1
20170266501	Sanders et al.	Sep 2017	A1
20170270260	Shetty	Sep 2017	A1
20170278209	Olsen et al.	Sep 2017	A1
20170282015	Wicks et al.	Oct 2017	A1
20170283508	Demopulos et al.	Oct 2017	A1
20170286621	Cox	Oct 2017	A1
20170300654	Stein et al.	Oct 2017	A1
20170304024	Nobrega	Oct 2017	A1
20170312614	Tran et al.	Nov 2017	A1
20170323481	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
20170347923	Roh	Dec 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
20180060494	Dias 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
20180146870	Shemesh	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
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
20180263535	Cramer	Sep 2018	A1
20180263552	Graman et al.	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
20180296143	Anderson 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
20180290017	Fung	Dec 2018	A1
20180353812	Lannon et al.	Dec 2018	A1
20180360340	Rehse et al.	Dec 2018	A1
20190009135	Wu	Jan 2019	A1
20190019163	Batey et al.	Jan 2019	A1
20190019573	Lake et al.	Jan 2019	A1
20190019578	Vaccaro	Jan 2019	A1
20190030415	Volpe, Jr.	Jan 2019	A1
20190031284	Fuchs	Jan 2019	A1
20190046794	Goodall	Feb 2019	A1
20190060708	Fung	Feb 2019	A1
20190066832	Kang et al.	Feb 2019	A1
20190076701	Dugan	Mar 2019	A1
20190080802	Ziobro et al.	Mar 2019	A1
20190090744	Mahfouz	Mar 2019	A1
20190111299	Radcliffe et al.	Apr 2019	A1
20190115097	Macoviak 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
20190251456	Constantin	Aug 2019	A1
20190262084	Roh	Aug 2019	A1
20190269343	Ramos Murguialday et al.	Sep 2019	A1
20190274523	Bates et al.	Sep 2019	A1
20190275368	Maroldi	Sep 2019	A1
20190290964	Oren	Sep 2019	A1
20190304584	Savolainen	Oct 2019	A1
20190307983	Goldman	Oct 2019	A1
20190314681	Yang	Oct 2019	A1
20190344123	Rubin et al.	Nov 2019	A1
20190354632	Mital et al.	Nov 2019	A1
20190362242	Pillai et al.	Nov 2019	A1
20190366146	Tong et al.	Dec 2019	A1
20190388728	Wang et al.	Dec 2019	A1
20200005928	Daniel	Jan 2020	A1
20200038703	Cleary et al.	Feb 2020	A1
20200051446	Rubinstein et al.	Feb 2020	A1
20200066390	Svendrys et al.	Feb 2020	A1
20200085300	Kwatra et al.	Mar 2020	A1
20200093418	Kluger 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
20200303063	Sharma et al.	Sep 2020	A1
20200334972	Gopalakrishnan	Oct 2020	A1
20200357299	Patel et al.	Nov 2020	A1
20200365256	Hayashitani et al.	Nov 2020	A1
20200395112	Ronner	Dec 2020	A1
20200401224	Cotton	Dec 2020	A1
20200410385	Otsuki	Dec 2020	A1
20200411162	Lien et al.	Dec 2020	A1
20210005224	Rothschild et al.	Jan 2021	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
20210113890	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
20210272677	Barbee	Sep 2021	A1
20210338469	Dempers	Nov 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
20220016480	Bissonnette et al.	Jan 2022	A1
20220016482	Bissonnette	Jan 2022	A1
20220016485	Bissonnette et al.	Jan 2022	A1
20220016486	Bissonnette	Jan 2022	A1
20220020469	Tanner	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
20220080265	Watterson	Mar 2022	A1
20220105384	Hacking et al.	Apr 2022	A1
20220105385	Hacking et al.	Apr 2022	A1
20220105390	Yuasa	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
20220176039	Lintereur et al.	Jun 2022	A1
20220181004	Zilca et al.	Jun 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
20220262504	Bratty 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
20220300787	Wall 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
20220323826	Khurana	Oct 2022	A1
20220327714	Cook et al.	Oct 2022	A1
20220327807	Cook et al.	Oct 2022	A1
20220328181	Mason et al.	Oct 2022	A1
20220330823	Janssen	Oct 2022	A1
20220331663	Mason	Oct 2022	A1
20220338761	Maddahi et al.	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
20230001268	Bissonnette et al.	Jan 2023	A1
20230013530	Mason	Jan 2023	A1
20230014598	Mason et al.	Jan 2023	A1
20230029639	Roy	Feb 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
20230190100	Stump	Jun 2023	A1
20230201656	Hacking et al.	Jun 2023	A1
20230207097	Mason	Jun 2023	A1
20230207124	Walsh et al.	Jun 2023	A1
20230215539	Rosenberg et al.	Jul 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
20230255555	Sundaram et al.	Aug 2023	A1
20230263428	Hull et al.	Aug 2023	A1
20230274813	Rosenberg et al.	Aug 2023	A1
20230282329	Mason et al.	Sep 2023	A1
20240029856	Rosenberg	Jan 2024	A1

Foreign Referenced Citations (262)

Number	Date	Country
2698078	Mar 2010	CA
3193419	Mar 2022	CA
2885238	Apr 2007	CN
101964151	Feb 2011	CN
201889024	Jul 2011	CN
102670381	Sep 2012	CN
103263336	Aug 2013	CN
103390357	Nov 2013	CN
103473631	Dec 2013	CN
103488880	Jan 2014	CN
103501328	Jan 2014	CN
103721343	Apr 2014	CN
203677851	Jul 2014	CN
104335211	Feb 2015	CN
105683977	Jun 2016	CN
103136447	Aug 2016	CN
105894088	Aug 2016	CN
105930668	Sep 2016	CN
205626871	Oct 2016	CN
106127646	Nov 2016	CN
106236502	Dec 2016	CN
106510985	Mar 2017	CN
106621195	May 2017	CN
107066819	Aug 2017	CN
107430641	Dec 2017	CN
107551475	Jan 2018	CN
107736982	Feb 2018	CN
107930021	Apr 2018	CN
108078737	May 2018	CN
208224811	Dec 2018	CN
109191954	Jan 2019	CN
109363887	Feb 2019	CN
208573971	Mar 2019	CN
110148472	Aug 2019	CN
110201358	Sep 2019	CN
110215188	Sep 2019	CN
110322957	Oct 2019	CN
110808092	Feb 2020	CN
110931103	Mar 2020	CN
110993057	Apr 2020	CN
111105859	May 2020	CN
111111110	May 2020	CN
111370088	Jul 2020	CN
111460305	Jul 2020	CN
111790111	Oct 2020	CN
112071393	Dec 2020	CN
212141371	Dec 2020	CN
112289425	Jan 2021	CN
212624809	Feb 2021	CN
112603295	Apr 2021	CN
213190965	May 2021	CN
113384850	Sep 2021	CN
113499572	Oct 2021	CN
215136488	Dec 2021	CN
113885361	Jan 2022	CN
114049961	Feb 2022	CN
114203274	Mar 2022	CN
216258145	Apr 2022	CN
114632302	Jun 2022	CN
114694824	Jul 2022	CN
114898832	Aug 2022	CN
114983760	Sep 2022	CN
217472652	Sep 2022	CN
110270062	Oct 2022	CN
218420859	Feb 2023	CN
115954081	Apr 2023	CN
102018202497	Aug 2018	DE
102018211212	Jan 2019	DE
102019108425	Aug 2020	DE
0383137	Aug 1990	EP
1159989	Dec 2001	EP
1391179	Feb 2004	EP
1968028	Sep 2008	EP
1909730	Apr 2014	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
4054699	Sep 2022	EP
4112033	Jan 2023	EP
3127393	Mar 2023	FR
2512431	Oct 2014	GB
2591542	Mar 2022	GB
201811043670	Jul 2018	IN
2000005339	Jan 2000	JP
2003225875	Aug 2003	JP
2005227928	Aug 2005	JP
2005227928	Aug 2005	JP
2009112336	May 2009	JP
2013515995	May 2013	JP
3193662	Oct 2014	JP
3198173	Jun 2015	JP
5804063	Nov 2015	JP
6659831	Oct 2017	JP
2018102842	Jul 2018	JP
2019028647	Feb 2019	JP
2019134909	Aug 2019	JP
6573739	Sep 2019	JP
6710357	Jun 2020	JP
6775757	Oct 2020	JP
2021026768	Feb 2021	JP
2021027917	Feb 2021	JP
6871379	May 2021	JP
2022521378	Apr 2022	JP
3238491	Jul 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
200276919	May 2002	KR
20020065253	Aug 2002	KR
100582596	May 2006	KR
101042258	Jun 2011	KR
101258250	Apr 2013	KR
20140128630	Nov 2014	KR
20150017693	Feb 2015	KR
20150078191	Jul 2015	KR
101580071	Dec 2015	KR
101647620	Aug 2016	KR
20160093990	Aug 2016	KR
20170038837	Apr 2017	KR
20180004928	Jan 2018	KR
20190011885	Feb 2019	KR
20190029175	Mar 2019	KR
101988167	Jun 2019	KR
102116664	Jul 2019	KR
101969392	Aug 2019	KR
102055279	Dec 2019	KR
102088333	Mar 2020	KR
102116968	Mar 2020	KR
20200025290	Mar 2020	KR
20200029180	Mar 2020	KR
102162522	Apr 2020	KR
102142713	May 2020	KR
20200056233	May 2020	KR
102120828	Jun 2020	KR
102121586	Jun 2020	KR
20200119665	Oct 2020	KR
102173553	Nov 2020	KR
102180079	Nov 2020	KR
102224618	Nov 2020	KR
102188766	Dec 2020	KR
102196793	Dec 2020	KR
20210006212	Jan 2021	KR
102224188	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
102427545	Aug 2022	KR
102467495	Nov 2022	KR
102467496	Nov 2022	KR
102469723	Nov 2022	KR
102471990	Nov 2022	KR
20220145989	Nov 2022	KR
20220156134	Nov 2022	KR
102502744	Feb 2023	KR
20230019349	Feb 2023	KR
20230019350	Feb 2023	KR
20230026556	Feb 2023	KR
20230026668	Feb 2023	KR
20230040526	Mar 2023	KR
20230050506	Apr 2023	KR
20230056118	Apr 2023	KR
102528503	May 2023	KR
102531930	May 2023	KR
102532766	May 2023	KR
102539190	Jun 2023	KR
2014131288	Feb 2016	RU
2607953	Jan 2017	RU
M474545	Mar 2014	TW
M638437	Mar 2023	TW
0149235	Jul 2001	WO
0151083	Jul 2001	WO
2001050387	Jul 2001	WO
2001056465	Aug 2001	WO
02062211	Aug 2002	WO
02093312	Nov 2002	WO
2003043494	May 2003	WO
2005018453	Mar 2005	WO
2006004430	Jan 2006	WO
2007102709	Sep 2007	WO
2008114291	Sep 2008	WO
2009008968	Jan 2009	WO
2011025322	Mar 2011	WO
2012128801	Sep 2012	WO
2013002568	Jan 2013	WO
2023164292	Mar 2013	WO
2013122839	Aug 2013	WO
2014011447	Jan 2014	WO
2014163976	Oct 2014	WO
2015026744	Feb 2015	WO
2015065298	May 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
2019204876	Apr 2019	WO
2019143940	Jul 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
2021090267	May 2021	WO
2021138620	Jul 2021	WO
2021216881	Oct 2021	WO
2021236542	Nov 2021	WO
2021236961	Nov 2021	WO
2021262809	Dec 2021	WO
2022047006	Mar 2022	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
2023052695	Apr 2023	WO
2023091496	May 2023	WO

Non-Patent Literature Citations (57)

Entry
International Search Report and Written Opinion for International Application No. PCT/US2021/032807, dated Sep. 6, 2021, 11 pages.
Claris Healthcare, Inc., Claris Reflex Patient Rehabilitation System Brochure, https://clarisreflex.com/, retrieved from Internet on Oct. 2, 2019, five page.
International Searching Authority, Search Report and Written Opinion for International Application No. PCT/US20/51008, dated Dec. 10, 2020, nine 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.
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.
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.
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.
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.
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.
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.
Alcaraz et al., “Machine Learning as Digital Therapy Assessment for Mobile Gait Rehabilitation,” 2018 IEEE 28th International Workshop on Machine Learning for Signal Processing (MLSP), Aalborg, Denmark, 2018, 6 pages.
Androutsou et al., “A Smartphone Application Designed to Engage the Elderly in Home-Based Rehabilitation,” Frontiers in Digital Health, Sep. 2020, vol. 2, Article 15, 13 pages.
Silva et al., “SapoFitness: A mobile health application for dietary evaluation,” 2011 IEEE 13th International Conference on U e-Health Networking, Applications and Services, Columbia, MO, USA, 2011, 6 pages.
Wang et al., “Interactive wearable systems for upper body rehabilitation: a systematic review,” Journal of NeuroEngineering and Rehabilitation, 2017, 21 pages.
Marzolini et al., “Eligibility, Enrollment, and Completion of Exercise-Based Cardiac Rehabilitation Following Stroke Rehabilitation: What Are the Barriers?,” Physical Therapy, vol. 100, No. 1, 2019, 13 pages.
Nijjar et al., “Randomized Trial of Mindfulness-Based Stress Reduction in Cardiac Patients Eligible for Cardiac Rehabilitation,” Scientific Reports, 2019, 12 pages.
Lara et al., “Human-Robot Sensor Interface for Cardiac Rehabilitation,” IEEE International Conference on Rehabilitation Robotics, Jul. 2017, 8 pages.
Ishraque et al., “Artificial Intelligence-Based Rehabilitation Therapy Exercise Recommendation System,” 2018 IEEE MIT Undergraduate Research Technology Conference (URTC), Cambridge, MA, USA, 2018, 5 pages.
Zakari et al., “Are There Limitations to Exercise Benefits in Peripheral Arterial Disease?,” Frontiers in Cardiovascular Medicine, Nov. 2018, vol. 5, Article 173, 12 pages.
You et al., “Including Blood Vasculature into a Game-Theoretic Model of Cancer Dynamics,” Games 2019, 10, 13, 22 pages.
Jeong et al., “Computer-assisted upper extremity training using interactive biking exercise (iBikE) platform,” Sep. 2012, 34th Annual International Conference of the IEEE EMBS, 5 pages.
Chrif et al., “Control design for a lower-limb paediatric therapy device using linear motor technology,” Article, 2017, pp. 119-127, Science Direct, Switzerland.
Robben et al., “Delta Features From Ambient Sensor Data are Good Predictors of Change in Functional Health,” Article, 2016, pp. 2168-2194, vol. 21, No. 4, IEEE Journal of Biomedical and Health Informatics.
Kantoch et al., “Recognition of Sedentary Behavior by Machine Learning Analysis of Wearable Sensors during Activities of Daily Living for Telemedical Assessment of Cardiovascular Risk,” Article, 2018, 17 pages, Sensors, Poland.
Warburton et al., “International Launch of the Par-·Q+ And ePARmed-·X+ Validation of the PAR-·Q+ and ePARmed··X+,” Health & Fitness Journal of Canada, 2011, 9 pages, vol. 4, No. 2.

Related Publications (1)

	Number	Date	Country
	20220015838 A1	Jan 2022	US

Provisional Applications (1)

	Number	Date	Country
	62910232	Oct 2019	US

Continuations (1)

	Number	Date	Country
Parent	17021895	Sep 2020	US
Child	17385473		US

Telemedicine for orthopedic treatment

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