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 electric walking assisting vehicle configured such that in accordance with operating amounts acting on an operation part, driving of driving motors is controlled and includes an inclination detector which detects inclination of a vehicle body in a forward-backward direction, and on flat land where inclination is less than a threshold, with an operation origin of the operation part as a center, the driving motors are controlled to generate torque in a forward direction by operation of pushing the operation part forward and to generate torque in a backward direction by operation of pulling the operation part backward, on an uphill road on which the inclination is the threshold value or more, the operation origin is shifted to an pulling operation side, and on a downhill road on which the inclination is the threshold value or more, the operation origin is shifted to a pushing operation side.

An apparatus for massage of a user in a reclined position, including a housing structure having a base portion with a user support surface for supporting the user in a reclined position, and a top cover portion that extends the full length of the base portion so that the user being disposed or the user support surface is disposed between the base portion and the top cover portion, a massage assembly disposed adjacent the user support surface, and a video display disposed on an inner surface of the top cover portion so that the video display is visible to the user disposed on the user support surface.

A mobility assistance apparatus includes first and second frames positioned on left and right sides of a user; a hinge arm mechanism coupled to the first and second frames; and a securing unit or a walking seat coupled to the frames to transfer at least a portion of the user's body weight from the legs and to transfer weight through the user's hip or pelvis to the first and second frame enabling the user to stand or work for an extended period without requiring the user's arms to hold the frame.

The present disclosure relates to a rolling walking device for the therapy and diagnosis of a person with a motor restriction. The walking device comprises at least one axis and a plurality of wheels, a support device for the person, which is configured such that the person can sit on the support device while using the walking device and simultaneously rest with the front of their upper body, and, optionally, with the head, at least partially on the support device, and one or more sensors configured to generate sensor data associated with a therapeutic interaction of the person with the walking device.

A SPA pool is provided including a pool body, the pool body including a pool bottom and a pool wall together defining a water cavity. The SPA pool further includes: an inflatable seat defining therein a second air chamber and disposed in the water cavity; a first nozzle assembly, wherein at least a part of the first nozzle assembly is accommodated within the inflatable seat, and a first end of the first nozzle assembly is in fluid communication with the water cavity. The pool body further includes a fluid pipeline disposed in the first air chamber, the fluid pipeline being in fluid communication with a second end of the first nozzle assembly, so that the first nozzle assembly provides fluid communication between the water cavity and the fluid pipeline.

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

A computer-implemented system may include a rowing 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 a processing device 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 rowing machine to implement the one or more exercises.

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.