A computer-implemented system includes a treatment device configured to be manipulated by an individual while the individual performs a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a computing device configured to: identify two or more types of healthcare providers to participate during the telemedicine session in the treatment plan associated with the individual; identify at least one healthcare provider associated with each of the two or more types of the healthcare providers; identify, based on schedules of the identified at least one healthcare provider, one or more available time slots for each respective healthcare provider; identify a first time slot of the available time slots; generate, based on the first time slot, a schedule event; and communicate the schedule event to each of the identified healthcare providers.

A foot rehabilitation device, including a main body, including a main surface disposed on a top surface of the main body, an elevated side disposed on at least a portion of a first end of the main body, and a tapered side disposed on at least a portion of a second end of the main body, such that the main surface is oriented downward from the elevated side to the tapered side, a reinforcement body disposed within at least a portion of an interior of the main body to increase a support strength of the main surface, a plurality of foot markers disposed on at least a portion of the main surface to identify a location for placement of at least one foot on the main surface, and a plurality of fasteners removably disposed on at least a portion of the main surface to receive at least one of a rope, a band, and a pulley thereon.

A gait correction treadmill and footwear system includes a treadmill having a base, a rotating belt, and a harness device that extends upwardly from the front end of the treadmill overtop the rotating belt. Each shoe includes a wearable upper portion with pressure sensors and a control circuit between the insole, as well as electromagnets between the lower end of the insole and the shoe tread. The pressure sensors are configured to map the pressure layout of the wearer's step. The electromagnets interact with a magnetic plate disposed beneath the rotating belt. The heel ends of the shoes include a cable that connects to an adjustable harness device affixed to the treadmill. The system is configured to adjust the harness device to relieve pressure when the wearer steps and to adjust the strength of the electromagnets, thereby increasing or decreasing the force of the user's step to correct their gait.

A body weight support system includes a trolley, a powered conductor operatively coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

A rehabilitation therapy aid (FIG. 4), for use in aiding a patient to regain and improve movement and control in a limb, comprises a moveable structure (51) having engagement means (53) whereby the structure can be moved by the limb of a patient (72) requiring therapy and separate engagement means (52) whereby the structure can be moved in the same direction by a therapist (71) or by the patient's stronger limb. A movement detector (56) is arranged so that the movement of the structure (51) can be tracked by the patient and/or by the therapist.

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

A balance training system includes a load distribution sensor a mobile body, to which the load distribution sensor is attached to the mobile body, and a control unit configured to calculate a reference position based on the positions of the feet of a trainee detected by the load distribution sensor, then calculate a center of gravity position of the trainee based on the load detected by the load distribution sensor, and control a movement of the mobile body based on a change of the center of gravity position with respect to the reference position. The control unit is configured to update the reference position based on the changed positions of the feet of the trainee when the change of the position of at least one of the feet of the trainee is detected by the load distribution sensor.

A portable lower limb therapy device having a support base and a force transfer system. The support base includes an exterior surface suitable to slide on smooth surfaces and an interior surface suitable to receive and conform to a foot of a user. The force transfer system embodied through one or two cords integrated with the support base and operates to transfer force applied behind and above the foot of a user that is in the support base to the support base. The portable lower limb therapy device may be used with a wearable anchor that is attachable to the thigh of the user of allows for the cord or cords to be fixed in place for the performance of static progressive stretch therapy motions without requiring ongoing manual force.

A method, apparatus, or system for reducing gait asymmetry is disclosed. The method, apparatus, or system may include measuring one or more gait parameters of an individual; calculating a joint metric based on the measured one or more gait parameters; and signaling an adjustment of an amount of one or more perturbation techniques based on the joint metric for reducing asymmetry in a gait pattern of the individual. The one or more perturbation techniques include asymmetric rhythmic auditory cueing making a first audible cue with a first cue duration for one leg of the individual and a second audible cue with a second cue duration for another leg of the individual. Here, the first cue duration is different from the second cue duration. Other aspects, embodiments, and features are also claimed and described.