An exercise apparatus is provided that allows the user to assist the force applied with one arm or leg by exerting force from another appendage, without the use of complex mechanical linkages. The apparatus may also be reconfigured to accommodate the user in a wide variety of positions.

When controlling load torque of a drive unit on the basis of a biological signal detected from a subject's lower limb parts, adjustments are made to a hybrid ratio of voluntary control to generate running torque and a rotational speed of a crank according to the subject's intention and autonomous control to generate assisting power for the subject's pedaling motion on the basis of a rotation angle of the crank.

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.

An individual linkage mechanism for a finger of an exoskeleton glove with sections that are interconnected with joints to enable changing their mutual angular orientation, which linkage mechanism includes a first linkage attached to the glove, a second linkage connected to the first linkage through a first joint, a third linkage connected to the second linkage through a second joint, and a fourth linkage connected to the third linkage through a third joint, wherein the fourth linkage is provided with a finger orthosis, and the second linkage, the third linkage and the fourth linkage are capable to assume a mutually parallel placement wherein the finger orthosis is adjacent to the second joint at a farthest end from the glove, and the third joint is closer to the glove than the second joint.

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.

An exercise machine has a main frame and a user support movably mounted relative to the main frame for movement between a start position and an end position during an exercise. At least one user engagement device is movably mounted relative to the main frame for engagement and actuation by a user during an exercise, and a connecting linkage translates movement of the user engagement device to movement of the user support. A lifting arm is movably mounted relative to the main frame and associated with at least one of the user support, user engagement device, and connecting linkage so as to move during an exercise. A load associated with the lifting arm provides exercise resistance.

A ground-effect footplate against which a user applies plantar force and moves their foot in 3D across all seven lower-extremity biomechanical axes to accomplish specific as well as global ambulatory objectives related to lower extremity performance improvement, injury prevention and rehabilitation. A device comprising at least one articulating leg connected to a ground-effect footplate and a surface for a user to position against. The device can be used in conjunction with software to create virtual ambulatory environments that mimic GRFVs and cause moments of force that initiate muscular activations that substantially mimic human ambulation, and can couple those movements with non-functional movements in order to improve ROM, speed, strength, and proprioception.