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.

The present development is an integrated trampoline jumping mat. The trampoline mat has a sensor or a set of sensors, a processor with wireless communication unit, and a smart device with an application program running that is in communication with the sensors. The sensors are selected to determine weight on the mat, number of people on the mat, elasticity of the mat, and degree of wetness of the mat. Data collected by the sensors is recorded and manipulated in the processor, and then transmitted to the smart device.

An exercise system may include an exercise mat; sensors integrated into the exercise mat, each of the sensors configured to sense when a force is applied to a respective portion of the exercise mat; and displays coupled to the exercise mat and configured to display indications corresponding to desired locations for body parts of a user in accordance with an exercise routine. On one or more of the displays, indications corresponding to desired locations of a user’s body part may be displayed in accordance with a form of one of stored exercise routines; and one or more of the sensors may sense an application of force to the exercise mat. One or more of the displays may display at least one marker identifying a direction from a location of the sensed application of force to a display location of the at least one of the indications.

A computer-implemented system includes a treatment device configured to be manipulated by an individual while the individual performs a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a computing device configured to: identify two or more types of healthcare providers to participate during the telemedicine session in the treatment plan associated with the individual; identify at least one healthcare provider associated with each of the two or more types of the healthcare providers; identify, based on schedules of the identified at least one healthcare provider, one or more available time slots for each respective healthcare provider; identify a first time slot of the available time slots; generate, based on the first time slot, a schedule event; and communicate the schedule event to each of the identified healthcare providers.

An exercise device system comprising a tower; a support structure inclinable at different angles relative to the tower; a movable user support platform movably associated with the support structure for movement relative to the support structure; a pulley system associated with the movable user support platform; a cable extending through the pulley system and including opposite ends; exercise device handles coupled to the opposite ends of the cable, whereby movement of the handles causes movement of the movable user support platform relative to the support structure.

A body weight support system includes a trolley, a powered conductor operatively coupled to a power supply, and a patient attachment mechanism. The trolley can include a drive system, a control system, and a patient support system. The drive system is movably coupled to a support rail. At least a portion of the control system is physically and electrically coupled to the powered conductor. The patient support mechanism is at least temporarily coupled to the patient attachment mechanism. The control system can control at least a portion of the patient support mechanism based at least in part on a force applied to the patient attachment mechanism.

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.

A balance training system includes a moving carriage configured to be able to move on a moving surface by driving a driving unit, a calculation unit calculating a load's center of gravity of the training person's feet on a boarding surface from the detected load, a setting unit configured to set a stable range, the stable range being a range of the load's center of gravity, and the training person is assumed to maintain upright on the boarding surface in the range; and a control unit performing safety control for ensuring safety during a training attempt for driving the driving unit to move the moving carriage when the control unit determines that the load's center of gravity has fallen outside the stable range or when the control unit predicts that the load's center of gravity is going to fall outside the stable range.

A system and method for playing a pin based game with an impact resistant ball and process of forming an impact resistant ball are provided. The impact resistant ball has an increased resistance to damage caused to a ball by repeated impact with objects such as a game board and game pins thereby decreasing the frequency with which the ball must be replaced. The impact resistant ball also has utility to afford a larger segment of the population the ability to properly grip and throw the impact resistant ball by providing an increased length gripper able to accommodate a greater range of hand sizes. The impact resistant ball has further utility to automatically identify and transmit data including the impact of the ball with the game pins and ball metrics including speed, pressure and weight.

A computer-implemented system comprising a treatment apparatus, a patient interface, and a processing device is disclosed. The processing device is configured to receive treatment data pertaining to the user during the telemedicine session, wherein the treatment data comprises one or more characteristics of the user; determine, via one or more trained machine learning models, at least one respective measure of benefit one or more exercise regimens provide the user, wherein the determining the respective measure of benefit is based on the treatment data; determine, via the one or more trained machine learning models, one or more probabilities of the user complying with the one or more exercise regimens; and transmit the treatment plan to a computing device, wherein the treatment plan is generated based on the one or more probabilities and the respective measure of benefit the one or more exercise regimens provide the user.