An exercise machine inclination device for providing variable exercise intensity on an exercise machine by inclining the exercise machine. The exercise machine inclination device generally includes a base adapted for being positioned upon a floor, a support structure adapted for supporting the exercise machine, a hinge pivotally connecting the base and the support structure and an actuator connected between the base and the support structure, wherein the actuator adjusts an angle of the support structure.

The present system (10) comprises a subject interface (22), a segmenter (12), a loosener (14), sensors (18), and computer processors (28). The segmenter is configured to selectively control gas flow through the subject interface to provide high amplitude pressure oscillations (44) during exhalation such that the high amplitude pressure oscillations aid cough productivity in the subject. The loosener controls gas flow through the subject interface to provide low amplitude pressure oscillations (43, 63) during inhalation (48, 68) and exhalation (49) such that the low amplitude pressure oscillations loosen respiratory secretions. The computer processors detect trigger events based on the output signals such that the one or more trigger events include a loosening trigger event and a segmenting trigger event (66); and responsive to detecting the loosening trigger event, control the loosener to provide the low amplitude pressure oscillations, and, responsive to detecting the segmenting trigger event, control the segmenter to provide the high amplitude pressure oscillations.

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.

The present invention is a ball feeding and throwing apparatus that is capable of feeding multiple ball throwing devices. The present invention feeds balls to each device at a constant rate and allows each ball feed to be independently controlled via a remote control. The present invention comprises a main hull, feeder modules, feeding tubes, and ball throwing devices. The main hull be an all-in-one system which feeds balls via the feeder modules at a constant rate. The feeder modules then transfer the balls through the feeding tubes to each of the multiple ball throwing devices where the balls are thrown towards an athlete.

The present invention allows a single coach to control a number of ball feeds remotely and independently. Thereby allowing a single coach to train a number of athletes at one time. Further, the training experience is improved as the coach is free to control the ball feeds remotely, placing the coach in close proximity to an athlete. The close proximity allowing improved communication, greater observation, and allows for hands on training and demonstration.

During a first time period and for a first user, a second user is automatically selected based on competitive data of the first user and competitive data of the second user, and a workout selection is sent to cause a video of a workout to be displayed during a second time period on a smart mirror of the first user and a smart mirror of the second user. During the second time period, a live stream of the first user exercising is displayed at the smart mirror of the second user, and a live stream of the second user exercising is received and displayed at the smart mirror of the first user. During the second time period, a performance score of the first user and a performance score of the second user is displayed at the smart mirrors of the first user and the second user.

A computer-implemented method for facilitating cardiac rehabilitation among eligible users is disclosed. The method includes the steps of (1) receiving health information associated with one or more users; (2) for each user of the one or more users: determining, based on health information associated with the user, a respective eligibility of the user for cardiac rehabilitation; (3) determining, based on the respective eligibilities, that at least one user of the one or more users is eligible for cardiac rehabilitation; (4) generating a treatment plan for the at least one user, where the treatment plan pertains to a cardiac rehabilitation that is specific to the at least one user; and (5) assigning the treatment plan to at least one electromechanical machine to enable the user to perform the cardiac rehabilitation.

A batting swing trainer, including a laser for generating a laser beam, a photodetector spaced apart from the laser so as to define a swing space through which a batter swings a bat and for detecting and sensing disruptions in the laser beam, and a microcontroller. The system further includes a speaker for emitting audible signals in relation to which a batter attempts to time swings and a user interface for a user to input pitch data into the microcontroller. When a batter swings a bat through the swing space so as to disrupt said laser beam, the microcontroller detects and measures changes in the laser beam and calculates bat speed, a ball contact time, and the difference between the contact time and the target time, and then provides to the user a visual indication of the effect of the swing.

An apparatus for facilitating soft tossing of balls for players. The apparatus includes a body, a launching device, a storage device, a timer, and an output device. The body includes a top side and a bottom side opposing the top side. The body includes a launching platform on the top side. The launching platform includes a launching station on the launching platform. The launching device is coupled with the launching station and launches a ball disposable on the launching station in an upwardly vertical direction in relation to the launching platform for soft tossing the ball based on signals. The storage device stores timing information. The timer is communicatively coupled with the storage device and the launching device and generates the signals based on initiating the timer and the timing information. The output device is communicatively coupled with the timer and presents an output based on the signals.

Provided is a training device that suppresses unintended operation of an operation rod when executing an operation mode in which the operation of the operation rod is controlled based on a force applied to the operation rod. The training device includes the operation rod, a motor, a force detection unit, a rotation information output sensor, a first command calculation unit, and a force correction unit. The operation rod moves a limb. The motor operates the operation rod in a direction of degree of freedom. The force detection unit detects a force component and outputs a force component signal. The rotation information output sensor detects an operation position of the operation rod in a corresponding direction of degree of freedom. The force correction unit calculates a corrected force component value based on the operation positions of the operation rod and the force component signal. The first command calculation unit calculates a first motor control command based on the corrected force component value.

A computer-implemented method is disclosed. The method includes determining whether one or more messages have been received from at least one of an electromechanical machine, a sensor, and an interface. Then the one or more messages may pertain to at least one of a user and a usage of the electromechanical machine by the user. The electromechanical machine may be configured to be manipulated by the user while the user is performing a treatment plan. The method also includes, responsive to determining that the one or more messages have not been received, determining, using one or more machine learning models, one or more preventative actions to perform. The method also includes causing the one or more preventative actions to be performed.