Methods, systems, and computer-readable mediums for generating, by an artificial intelligence engine, treatment plans for optimizing a user outcome. The method comprises receiving attribute data associated with a user. The attribute data comprises one or more symptoms associated with the user. The method also comprises, while the user uses a treatment apparatus to perform a first treatment plan for the user, receiving measurement data associated with the user. The method further comprises generating, by the artificial intelligence engine configured to use one or more machine learning models, a second treatment plan for the user. The generating is based on at least the attribute data associated with the user and the measurement data associated with the user. The second treatment plan comprises a description of one or more predicted disease states of the user. The method also comprises transmitting, to a computing device, the second treatment plan for the user.

A computer-implemented system may include an electromechanical 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 condition or a cardiac outcome, 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 of a cardiac intervention for the user, and transmit the treatment plan to cause the electromechanical machine to implement the one or more exercises.

A system includes a treatment apparatus configured to implement a treatment plan for rehabilitation to be performed by a user and a processing device configured to receive attribute data associated with the user; generate, based on the rehabilitation, selected attribute data; determine, based on the selected attribute data, the rehabilitation, and a rehabilitation goal associated with the rehabilitation, one or more probabilities of attaining the rehabilitation goal within respective one or more numbers of rehabilitation sessions to be performed by the user using the treatment apparatus; provide, based on the one or more probabilities, an indication of the one or more numbers of rehabilitation sessions; and generate, based on a selected number of rehabilitation sessions from among the one or more numbers of rehabilitation sessions, the treatment plan. The treatment plan includes one or more exercises directed to attaining the rehabilitation goal within the selected number of rehabilitation sessions.

In one embodiment, a computer-implemented system includes an electromechanical machine configured to be manipulated by a user while the user performs a treatment plan. The treatment plan includes a high-intensity interval training (HIIT) session. A processing device is configured to initiate, using the electromechanical machine, the HIIT session, receive, via one or more sensors, one or more measurements pertaining to the electromechanical machine, determine whether the one or more measurements exceed one or more of one or more corresponding thresholds, and in response to determining that the one or more measurements exceed one or more of the one or more corresponding thresholds, modify the treatment plan to cause operation of the electromechanical machine to be modified.

The present invention provides systems for and methods of playing a video game that includes providing a game character having a virtual appearance characteristic, receiving an input signal indicative of a user exercise performance level, and altering the virtual appearance characteristic in response to receiving the input signal. Numerous other aspects are disclosed.

This invention is directed to an exercising apparatus for individuals with spinal injuries including; a frame having a vertically adjustable vertical standard; a forked base having a space defined in the forked base for receiving a wheelchair; a resistance assembly pivotally attached to the vertical standard having a vertical position, and a horizontal position so that an individual can use the exercise apparatus while sitting in a wheelchair in the vertical position and while inclined on a horizontal surface in the horizontal position; and, a resistance member included in the resistance assembly to increase the amount of force needed to rotate the resistance assembly. The invention can include a first pedal assembly for being rotated by hand and a second pedal assembly linked to the first pedal assembly so that when the first pedal assembly is rotated, the second pedal assembly rotates. The forked base can be disposed under the horizontal surface in the horizontal position. The resistance assembly can include foot pedals having a strap for securing the individual feet to the pedals.

Various embodiments related to a recumbent therapeutic and exercise device are provided herein. The recumbent therapeutic and exercise device includes a frame; a hand crank system coupled to the frame, the hand crank system including a hand crank rotatable by a user, wherein the hand crank is movable in a substantially vertical plane closer to and further from a support surface for the frame; and a foot crank system coupled to the frame, the foot crank system including a foot crank rotatable by the user, wherein the foot crank is movable in a substantially horizontal plane relative to the support surface for the fame.

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.

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 includes one or more processing devices configured to receive attribute data associated with a user, generate, based on at least one of a first bariatric procedure to be performed on the user and a second bariatric procedure already performed on the user, a selected set of the attribute data, determine, based on the selected set of the attribute data, at least one of a first probability of being eligible for the first bariatric procedure to be performed on the user and a second probability of improving a bariatric condition of the user subsequent to the second bariatric procedure being performed on the user, and generate, based on the at least one of the first probability and the second probability, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability, and a treatment apparatus configured for implementation of the treatment plan.