A person support apparatus includes a support surface having a patient facing surface and includes a head section, a seat section, and a foot section, the head section and the foot section being rotatable with respect to the seat section. One or more actuators are provided to rotate the head section and the foot section with respect to the seat section. At least one strain gauge is provided proximate the patient facing surface of the support surface to detect a change in pressure against at least one of the head section and the foot section. A controller is configured to transmit a signal to one or more of the actuators to rotate a corresponding one of the head section or the foot section in response to receiving data from the at least one strain gauge indicating a change in pressure that exceeds a predetermined reduction in pressure.

The present invention aims to provide a blood flow analysis device capable of accurately identifying a change in the blood flow in a muscle caused by resistance exercise performed by a subject. A blood flow analysis device according to the present invention specifies a resistance exercise period during which a muscle of a subject present at a position to be measured by a motion sensor is performing a resistance exercise, and analyzes a light detection signal in the resistance exercise period, to thereby calculate a feature amount of a change in the blood flow in the muscle of the subject in the resistance exercise period (see FIG. 1).

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.

The present invention is directed, in part, to a system and methods for combining newly designed cardiovascular equipment with the added features of an upper body weight training regimen in order to provide a user a full body workout, cardiovascular exercise and weight training simultaneously. The invention does so by employing either a weight tray apparatus configured to newly designed cardiovascular equipment or machine or through the use of an adjustable weight training apparatus combined with the newly designed cardiovascular equipment or machine. More specifically, the present invention relates to a system and methods for combining newly designed cardiovascular equipment including stationary and recumbent bikes, elliptical machines, treadmills and stair steppers, with a tray apparatus that allows a user to employ free weights. The invention further relates to a system and methods for combining newly designed cardiovascular equipment including stationary and recumbent bikes, elliptical machines, treadmills and stair steppers that are configured with an adjustable weight training apparatus that allows a user to build upper body muscle groups simultaneously with cardiovascular exercise, in effect, providing a full body workout.

The subject matter of present disclosure teaches about a system of an artificial intelligence powered advance exercising facilities and method of working of the same. The system of an artificial intelligence powered advance exercising facilities of present embodiment eliminates need of permanent attached display over the exercise machines within the facilities by providing advance coupling of network enabled user devices of an exerciser, such as smartphone, laptop or any wearable smart devices to receive and display real time exercise data. Also, the system provides holding platforms for said user devices to safely hold the devices while user is exercising. Further, all the machines and equipment within the exercise facilities as well as surroundings such as wall of facilities of system are embedded with smart chips that monitors and transmits the real time exercise data of exerciser such as routine of exerciser, form and posture of exerciser, number of reps and count of dead weight etc. to the central artificial intelligence engine using local area network of exercise facility. The Artificial Intelligence engine, based on past exercise data, exercise regimen, health data and expert advices, prepares best workout routine and exercise schedule of the day for respective exerciser.

An exercise apparatus comprises a body having a top surface adapted to support a user standing thereon, an endless band extending around said body along a path substantially perpendicular to said top surface, said endless band being slidably supported by said top body for rotational movement thereabout and a plurality of protrusions extending from said endless band adapted to be engaged upon by an object manipulated by the user.

The exercise and stretching device is a semi-rigid structure. The exercise and stretching device has an elastic nature. The exercise and stretching device is configured for use in physical training. The semi-rigid structure of the exercise and stretching device generates a resistance used during physical training. The exercise and stretching device forms a ladder-shaped framework. The exercise and stretching device is an openwork structure. The exercise and stretching device comprises a plurality of master rails, a plurality of supplemental structures, and a plurality of rungs. The plurality of rungs interconnect the plurality of master rails. The plurality of rungs interconnect the plurality of supplemental structures. The plurality of rungs interconnect the plurality of master rails and the plurality of supplemental structures.

An exercise system can include an exercise device and a sliding board that when used together may help patients regain strength and mobility during lower limb rehabilitative exercises. The exercise device may include a foot support body; a support wall extending vertically upward on one side of the foot support; a divider wall extending vertically upward from the support body and extending transversely from an opposing side of the foot support body; an ankle bed rest defined by a space from the support wall and around the divider wall; and a smooth bottom surface. The sliding board can have a smooth top surface that is slidable relative to the smooth bottom surface of the exercise device.

A rehabilitation and exercise system can include a base. A static device can be coupled to the base and configured to provide isometric exercise for a user by receiving static force from the user to facilitate at least one of osteogenesis or muscle hypertrophy for the user. In addition, a dynamic device can be coupled to the base and configured to provide a dynamic exercise for the user by being moved by the user to facilitate at least one of osteogenesis and muscle hypertrophy for the user.

The subject matter of present disclosure teaches about a system of an artificial intelligence powered advance exercising facilities and method of working of the same. The system of an artificial intelligence powered advance exercising facilities of present embodiment eliminates need of permanent attached display over the exercise machines within the facilities by providing advance coupling of network enabled user devices of an exerciser, such as smartphone, laptop or any wearable smart devices to receive and display real time exercise data. Also, the system provides holding platforms for said user devices to safely hold the devices while user is exercising. Further, all the machines and equipment within the exercise facilities as well as surroundings such as wall of facilities of system are embedded with smart chips that monitors and transmits the real time exercise data of exerciser such as routine of exerciser, form and posture of exerciser, number of reps and count of dead weight etc. to the central artificial intelligence engine using local area network of exercise facility. The Artificial Intelligence engine, based on past exercise data, exercise regimen, health data and expert advices, prepares best workout routine and exercise schedule of the day for respective exerciser.