A treadmill includes a deck having a continuous track, and a plurality of slats fixedly connected to the track. The treadmill also includes a first post extending from the deck, a second post extending from the deck opposite the first post, and a first arm supported by the first post and including a first rotary control. The treadmill further includes a second arm opposite the first arm and supported by the second post. The second arm includes a second rotary control separate from the first rotary control. The first rotary control is configured to control a first function of the treadmill and the second rotary control is configured to control a second function of the treadmill different from the first function.

Disclosed is a technical training garment configured for use with modular, interchangeable electronics and resistance modules. The garment provides resistance to movement throughout an angular range of motion and tracks biomechanical parameters such as stride length, stride rate, angular velocity and incremental power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing. Alternatively, the device may be worn as a supplemental training tool during conventional training protocols.

A breathing training, monitoring and/or assistance device is provided for home use. The device is for providing support and guidance during the training of breathing exercises. The device takes account of external data which relates to one or more of: the environmental conditions in which the device is being used; activity information in respect of the user; physiological sensor data about the user which is not related to breathing characteristics.

A computer-implemented method for (1) receiving one or more characteristics of a user, wherein the one or more characteristics comprise personal information, performance information, measurement information, or some combination thereof, (2) generating, using one or more trained machine learning models, a treatment plan for the user, wherein the treatment plan is generated based on the one or more characteristics of the user, and the treatment plan comprises: (i) a dietary plan that is tailored to manage one or more medical conditions associated with the user, and (ii) an exercise plan comprises one or more exercises associated with the one or more medical conditions, and (3) presenting, via a display device, at least a portion of the treatment plan comprising the dietary plan.

A method includes receiving a video input, receiving an indication of a first segment type corresponding to a first workout activity being performed in the video input, and generating a segmented timeline with the processor, the segmented timeline including a plurality of segments, and at least one segment of the plurality of segments corresponding to the first workout activity. The method further includes generating a user interface with the processor, the user interface including the segmented timeline displayed together with at least part of the video input. The method also includes providing the user interface to a plurality of exercise machines via a network.

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 computer-implemented system may include a stair-climbing machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and processing structure configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac-related event; generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability that a cardiac intervention will occur; and transmit the treatment plan to cause the stair-climbing machine to implement the one or more exercises.

An interactive exercise system includes a mechanical support system and a display module held by the mechanical support system. At least one force-controlled component is engageable by a user and connected to the mechanical support system, with the force-controlled component configure to reduce force when applied user force is great enough to cause tip-over or unwanted movement of the mechanical support system. The force-controlled component can be graspable by a user and allows for a range of exercise types and programs.

A training apparatus with swivel step plates and programmable music built in for a dance lesson and workout on the training apparatus. The step plate has a movement mechanism that reciprocates with a vertical component and a longitudinal component. The step plate is attached to the movement mechanism such that the step plate has a pivoting action about a vertical axis that is orthogonal to the orientation of a top surface of the step plate.