The disclosed physical exercise apparatus (2) comprises a frame (2′) equipped with a crankset and a saddle (26), the saddle itself comprising a chassis (262) fastened to the frame, two saddle parts (266) and articulation members (267, 268) for articulating each saddle part relative to the frame around a pitch axis (A26), about a roll axis (B26) and about a yaw axis (L26). This apparatus (2) also comprises sensors (30, 50) for detecting a pitch movement (T), a roll movement (R), and a yaw movement (L) of each saddle part respectively about the pitch, roll, and yaw axes, these movements resulting from pedaling made by a user. At least one calculation unit (40) is configured to determine, from output signals (S.sub.30, S.sub.50) of the sensors, angular amplitudes (α, β, γ) of the pitch (T), roll (R), and yaw (L) movements. At least one screen (29) is provided in order to display, depending on the angular amplitudes determined by the calculation unit (40), the position on each saddle part of a bearing point (P.sub.G, P.sub.D) of an ischium of a user in the process of pedaling.

A locking device for an exercise system may include at least one moveable assembly that is in communication with a resistance mechanism. The locking device has an actuating device for selectively engaging the locking device, a locking member having a contact portion, wherein the contact portion of the locking member is not in contact with the resistance mechanism of the exercise system when the actuating device is in a first position, thereby allowing movement of the at least one moveable assembly, and wherein the contact portion of the locking member is in contact with the resistance mechanism of the exercise system when the actuating device is in a second position, thereby preventing movement of the at least one moveable assembly.

Systems, methods, and computer-readable mediums for generating, by an artificial intelligence engine, one or more alignment plans for aligning a user with an imaging sensor. The method comprises generating one or more machine learning models trained to identify alignment plans. The method also comprises receiving user data and determining that a targeted portion of a body of the user is outside of a field of view of the imaging sensor. The method further comprises generating the one or more alignment plans using the one or more machine learning models. Each of the one or more alignment plans comprises a target location within the field of view of the imaging sensor and one or more elements for adjusting the targeted portion of the body from a first location to the target location. The method also comprises transmitting the one or more alignment plans to a computing device.

An exercise assist tool is used together with an exercise tool used in a supine or seated state, and the exercise assist tool includes a body-axis indicator that allows a user to be conscious of a body axis. The body-axis indicator has a longitudinal direction, and is supported such that the longitudinal direction can be disposed along a craniocaudal axis of the user. The body-axis indicator is a rod member supported so as to be disposed along a craniocaudal axis of the user. The body-axis indicator includes a proximal-side indicator provided in front of a face of the user, and a distal-side indicator provided farther from the user than the proximal-side indicator. The proximal-side indicator is configured to be capable of adjusting a distance from the user.

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 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.

There is provided a plank exercise device including a support portion adapted to receive arms or hands of a person and adapted to receive a display device, a destabilizer connected to the support portion, and a stationary base adapted to hold the destabilizer.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

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.

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.