A method is disclosed for using an artificial intelligence engine to modify resistance of one or more pedals of an exercise device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the exercise device to modify the resistance of the one or more pedals. The method includes receiving the one or more measurements from a sensor associated with the one or more pedals of the exercise device, determining whether the one or more measurements satisfy a trigger condition, and responsive to determining that the one or more measurements satisfy the trigger condition, transmitting the control instruction to the exercise device.

The problem of inactivity can occur at any area of our lives. Inactive periods can originate from being at hospital, rehabilitation, from physical condition, even during daily routine, or at leisure time. Several medical research discuses the irreparable harm of regular inactivity. The method and respective device according to the invention urges the person from harmful inactivity to activity, by signaling and measuring device, or by flexible displacing device. The signaling and measuring device or the flexible displacing device are coupled onto objects used in our daily life, thus activity can happen in our daily routine, at places where we at regularly. Activity happens by applying muscle force with controlled size, length of time and number of repetitions. Signaling and measuring device or flexible displacing device according to the method are coupled to other objects, such as bed or table. Signal initiates activity, sensors measure the engagement of proper muscle force and the signal is turned off accordingly. Similarly, flexible displacing device coupled to other objects is used to displace the inactive person in a controlled manner, by applying flexible force with controlled size over controlled length of time in retainable, stoppable form. The method and respective devices can be implemented at many possible circumstances, for example in healthcare institutions.

A support and a support system enable assisting rehabilitation patients with walking and standing. The support includes a supporting structure with a longitudinal axis, the supporting structure having an upper structure and a lower structure; a height adjusting actuator configured to adjust a vertical distance between the upper structure and the lower structure; and a width adjusting actuator connected to the support structure, wherein the width adjusting actuator is configured to move at least part of the supporting structure in a transverse direction to the longitudinal axis.

A treadmill arrangement, having a treadmill stand and an endless belt which runs over rollers mounted in the treadmill stand and is driven by a drive, with one surface of the endless belt serving as a walking or running surface. A motion state detection device is allocated to the treadmill to detect a motion state or a positional change of the legs and/or feet of the user relative to the treadmill stand and to obtain a control signal for the drive.

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.

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.

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.

The present invention provides a leg rehabilitation exercise apparatus, which includes: a base; a seat arranged on the base; a leg exercise frame arranged on the base; an upper rotation-supporting member arranged on the leg exercise frame; a lower rotation-supporting member arranged on the leg exercise frame; a reciprocating motion section including a left lifting/lowering motion section, a right lifting/lowering motion section, an upper connection section, and a lower connection section; a left lifting/lowering member arranged on the left lifting/lowering motion section; and a right lifting/lowering member arranged on the right lifting/lowering motion section. The left lifting/lowering motion section and the right lifting/lowering motion section are operable to do lifting/lowering motions in opposite directions. The leg rehabilitation exercise apparatus of the present invention achieves an effective result of training quadriceps muscles of thighs and shanks and is also an operation safe device.

A body weight support system includes a tether configured to be coupled to an attachment device worn by a user to couple the user to the body weight support system. A method of providing gait training includes defining a reference length of the tether when the attachment device is in an initial position and defining a threshold length of the tether. A first amount of body weight support is provided during the gait training as the user moves relative to a surface and the length of the tether is less than the threshold length. A second amount of body weight support is provided during the gait training as the user moves relative to the surface and the length of the tether is greater than the threshold length. The method further includes displaying data associated with the gait training on a display of an electronic device.

The invention provides a lower-limb walking rehabilitation trainer, including two supporting frames, two gait simulation mechanisms installed on the two supporting frames respectively, and two pedals installed on the two gait simulation mechanisms respectively. The supporting frames are crutch type supporting frames. The gait simulation mechanisms include a special four-bar linkage and curve amplification mechanism. The four-bar linkage consists of a crank, a first connecting rod, a rocking rod and a rack rod that are articulated end to end. The upper end of the first connecting rod is articulated with the lower end of the second connecting rod in the curve amplification mechanism, the lower end of the third connecting rod in the curve amplification mechanism is articulated with the pedal, the rack rod is relatively fixed to the supporting frame, and the fourth connecting rod is connected to the inner side of the crutch type supporting frame.