Abstract: A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

Abstract: Systems and methods for positioning one or more sensors on a user. The system has user sensors, apparatus sensors, and treatment sensors.

Abstract: A system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan and a patient interface associated with the treatment device. The system also includes a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; write to an associated memory, for access at a computing device of a healthcare provider, treatment information; communicate with an interface, at the computing device of the healthcare provider; and modify at least one of the at least one aspect and any other aspect of the treatment plan in response to receiving treatment plan input including at least one modification to the at least one of the at least one aspect and any other aspect of the treatment plan.

Abstract: In some embodiments, a system for rehabilitation includes an electronic device including a memory device for storing instructions, a network interface card, and a sensor. The system includes a processing device operatively coupled to the memory device, the network interface card, and the sensor, wherein the processing device executes the instructions to determine angles while a user is engaging one or more pedals of an electromechanical device, and transmit, via the network interface card, the angles to a computing device controlling the electromechanical device, and based on the angles satisfying a range of one or more respective motion threshold conditions, wherein, while the user operates at least one of the one or more pedals, the transmitting the angles to the computing device causes the computing device to increase a diameter of a range of motion of one of the one or more pedals.

Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

Abstract: Systems and methods for identifying a condition of a user. An electromechanical machine is configured to be manipulated by the user for. An interface is communicably coupled to the electromechanical machine. A processing device and a memory are communicatively coupled to the processing device, and the memory includes computer readable instructions that, when executed by the processing device, cause the processing device to receive, from one or more sensors, one or more sensor inputs representative of one or more of characteristics of an anatomical structure of the user, calculate an infection probability based on the one or more characteristics of the anatomical structure, and output, to the interface, a representation of the infection probability.

Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes one or more electronic devices comprising one or more memory devices storing instructions, one or more network interface cards, and one or more sensors, wherein the one or more electronic devices are coupled to a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the one or more memory devices, the one or more network interface cards, and the one or more sensors. The one or more processing devices are configured to execute the instructions to receive information from the one or more sensors. The one or more processing devices are further configured to execute the instructions to transmit the information to a computing device controlling an electromechanical device, via the one or more network interface cards.

Abstract: A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

Abstract: In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

Abstract: A computer-implemented system includes a treatment apparatus manipulated by a patient while performing an exercise session and a patient interface that receives a virtual avatar. The patient interface presents the virtual avatar. The virtual avatar uses a virtual representation of the treatment apparatus to guide the patient through an exercise session. A server computing device provides the virtual avatar of the patient to the patient interface and receives a message pertaining to a trigger event. The message includes a severity level of the trigger event. The server computing device determines whether a severity level of the trigger event exceeds a threshold severity level, and responsive to determining the severity level of the trigger event exceeds the threshold severity level, replaces on the patient interface the presentation of the virtual avatar with a presentation of a multimedia feed from a computing device of the medical professional.

Abstract: A system for rehabilitation is disclosed. The system for rehabilitation includes a monitoring device that includes a memory device storing instructions and a network interface card. The monitoring device is configured to detect information from a body part of a user. The system for rehabilitation further includes one or more processing devices operatively coupled to the monitoring device. The one or more processing devices are configured to execute the instructions to receive configuration information specified in a treatment plan for rehabilitating the body part of the user. The one or more processing devices are configured to execute the instructions for receiving the information from the monitoring device. The one or more processing devices are further configured to execute the instructions to transmit the configuration information and the information to a computing device controlling an electromechanical device, via the network interface card.

Abstract: A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan and a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. The computer-implemented system may also include a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; write to an associated memory, for access by an artificial intelligence engine, the treatment data; receive, from the artificial intelligence engine, at least one prediction; identify a threshold corresponding to the at least one prediction; and, in response to a determination that the at least one prediction is outside of the range of the threshold, update the treatment data pertaining to the user to indicate the at least one prediction.

Abstract: Systems and methods for identifying a condition of a user. A treatment apparatus is configured to be manipulated by the user for performing an exercise, and an interface is communicably coupled to the treatment apparatus. One or more sensors are configured to sense one or more characteristics of an anatomical structure of the user. A processing device and a memory is communicatively coupled to the processing device. The memory includes computer readable instructions, that when executed by the processing device, cause the processing device to: receive, from the sensors, one or more sensor inputs representative of the one or more of characteristics of the anatomical structures; calculate an infection probability of a disease based on the one or more characteristics of the anatomical structures; and output, to the interface, a representation of the infection probability.

Abstract: A computer-implemented system includes an assistant interface for providing remote medical assistance to aid a patient in performing various aspects of a rehabilitation regimen for a body part comprising a joint, a bone, or a muscle group. The assistant interface is configured to communicate, via a network connection, a telemedicine signal with the patient interface. The telemedicine signal is configured to control the patient interface and/or a treatment apparatus configured to be manipulated by the patient to perform the rehabilitation regimen. The patient interface and the treatment apparatus are at a patient location geographically separate from a location of the assistant interface. The telemedicine signal includes one or more of an audio signal, an audiovisual signal, an interface control signal for controlling a function of the patient interface, and/or an apparatus control signal for changing an operating parameter of the treatment apparatus.

Abstract: In one embodiment, a computer-implemented system includes a treatment apparatus configured to be manipulated by a user while performing an exercise session, patient interfaces associated with users, and a server computing device configured to receive treatment data pertaining to the user, determine whether at least one characteristic of the user matches at least one second characteristic of a second user, where the second user belonging to a cohort. Responsive to determining the at least one characteristic of the user matches the at least one second characteristic of the second user, the server computing device is configured to assign the user to the cohort and select, via a trained machine learning model, a treatment plan for the user. Responsive to transmitting a signal to the patient interfaces of users in the cohort, the server computing device enables the patient interfaces to establish the virtual shared session between the patient interfaces.

Abstract: A computer-implemented system includes a treatment apparatus manipulated by a patient while performing an exercise session and a patient interface that receives a virtual avatar. The patient interface presents the virtual avatar. The virtual avatar uses a virtual representation of the treatment apparatus to guide the patient through an exercise session. A server computing device provides the virtual avatar of the patient to the patient interface and receives a message pertaining to a trigger event. The message includes a severity level of the trigger event. The server computing device determines whether a severity level of the trigger event exceeds a threshold severity level, and responsive to determining the severity level of the trigger event exceeds the threshold severity level, replaces on the patient interface the presentation of the virtual avatar with a presentation of a multimedia feed from a computing device of the medical professional.

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

Abstract: A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan and a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session. The computer-implemented system may also include a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; write to an associated memory, for access by an artificial intelligence engine, the treatment data; receive, from the artificial intelligence engine, at least one prediction; identify a threshold corresponding to the at least one prediction; and, in response to a determination that the at least one prediction is outside of the range of the threshold, update the treatment data pertaining to the user to indicate the at least one prediction.

Abstract: A system for rehabilitation includes an electronic device comprising a memory device for storing instructions, a network interface card, and a sensor. The system for rehabilitation further includes a processing device operatively coupled to the memory device, the network interface card, and the sensor. The processing device is configured to execute the instructions to determine a plurality of angles, wherein the plurality of angles comprises at least one of the following: angles of extension of a first body part of a user extended away from a second body part of the user at a joint, and angles of bend of the first body part retracting closer toward the second body part. The processing device is further configured to execute the instructions to transmit the plurality of angles to a computing device controlling an electromechanical device, via the network interface card.