An exercise machine is described that incorporates a double retractable resistance band system for rowing exercises and that includes a multi-purpose, morphable swinging seat assembly that applies to convertible exercise machines and rowing boats. The double retractable rowing system is detachably integrated into a base plate (inclined planar board) of the exercise machine. The base plate consists of a platform set at an angle consistent with the foot-placements of sit-down rowing machines and rowing shells together with an integral set of quick-release slots located above and to the outside of the toes of the foot placement positions. The multi-purpose, morphable swinging seat assembly provides an improved method/structural assembly for seat-based rowing machines, convertible/multi-purpose exercise machines and an improved architecture for boat-based rowing systems.

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 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.

A self-contained, hyperthermic conditioning unit and selectively controllable environment for exercising. The unit comprises a base portion having a bed therein and a removable cover connected to the base portion to enclose a personal compartment within the unit. One or more heating elements provide heat to the personal compartment and one more pieces of physical exercise equipment are provided within the personal compartment.

The present disclosure relates to an exercise device comprising a pedal assembly coupled to a braking device. The exercise device comprises a housing, through which a main transverse axle extends and which is arranged at a height of between 120 and 170 mm from the bearing surface on the ground, the main axle being coupled at either side of the housing to a disc-like plate that supports an eccentric transverse axle, the eccentric axles being orientated in a diametrically opposed manner relative to the main transverse axle, each of the eccentric axles being articulated relative to a connection piece with a pedal formed by a plate that is articulated relative to the connection piece by a pivot that is parallel with the longitudinal axis of the plate in order to allow the plate to move between a horizontal active position and a storage position in which it is folded against the vertical face of the housing, the main axle driving a flywheel received in the housing.

The present disclosure discloses an exercise bike capable of folding and changing at multiple angles. The exercise bike includes a base unit, a stand unit pivotally connected to a front end of the base unit, and a first resistance unit and a second resistance unit arranged on the stand unit and suitable for providing resistance for limbs when moving. The stand unit includes a lower riser that rotates in a first angle range relative to the base unit, and an upper riser that rotates in a second angle range relative to the lower riser.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface. and a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; identify at least one enhanced component using the treatment data; generate an enhanced environment using the at least one enhanced component and the treatment plan; output at least one aspect of the enhanced environment to at least one of the patient interface and another interface; receive subsequent treatment data pertaining to the user; and selectively modify at least one of the enhanced environment and at least one of the at least one aspect of the treatment plan and any other aspect of the treatment plan using the subsequent treatment data.

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.