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.

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 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.

A variable-resistance exercise machine with network communication for smart device control and interactive software applications, comprising a network interface that receives input from a user device and provides output to a user device; a plurality of moving surfaces that each provide an independent degree of resistance to movement based on received input, a sensor that detects movement and provides output to a user device based on the movement.

A variable-resistance exercise machine with network communication for smart device control and interactive software applications, comprising a network interface that receives input from a user device and provides output to a user device; a plurality of moving surfaces that each provide an independent degree of resistance to movement based on received input, a sensor that detects movement and provides output to a user device based on the movement.