A yoga under-mat to be positioned under an exercise mat, to make the exercise mat a smart mat. The yoga under-mat including a plurality of sensors to monitor a user's health data, while the user is performing exercises, and to provide data to the user.

The therapeutic isometric testing and isotonic training exercise device disclosed herein may allow for isometric strength testing and isometric and isotonic strength training of a user to prevent or treat soft and connective tissue deficiencies. The device may comprise, generally, a leg press, chest press, and shrug press exercise device combination having a plurality of electronic components. The device may comprise a seat assembly and weight stack assembly connected to an articulating frame, and may further comprise a weight locking pin and a plurality of load sensors for user work measurements. A proprietary software may be integrated into the device, and each user may have a personal user account and customized training regimen designed for them based on system inputs and readings.

A method includes receiving electronic content via a network, the electronic content comprising an exercise class, and receiving user data associated with a user participating in the exercise class using an exercise machine. The method also includes generating an executable control for a user interface based at least in part on the user data, and providing the executable control, via a display of the exercise machine, while the user is participating in the exercise class. In such a method, the executable control is operable to modify a parameter of the exercise machine while the user is participating in the exercise class.

A computer-implemented system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan, a patient interface, and a computing device configured to: receive treatment; write to an associated memory, configured to be accessed by an artificial intelligence engine, treatment data, the artificial intelligence engine being configured to use at least one machine learning model to, using the treatment data, generate at least one of a treatment scheduling output prediction and an appointment output; receive, from the artificial intelligence engine, the at least one of the treatment scheduling output prediction and the appointment output; and selectively modify, using the at least one of the treatment scheduling output prediction and the appointment output, the at least one aspect of the treatment plan.

In one embodiment, a computer-implemented system includes treatment apparatuses configured to be manipulated by patients while performing an exercise session, patient interfaces associated with the plurality of patients, and a server computing device configured to receive first characteristics pertaining to the patients, and initiate a virtual shared session on the patient interfaces associated with the patients. The virtual shared session includes at least a set of multimedia feeds, and each multimedia feed of the set of multimedia feeds is associated with one or more of the patients. During the virtual shared session, the server computing device may present a first layout including the set of multimedia feeds, the first characteristics, or some combination thereof.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface comprising an output device configured to present telemedicine information associated with a telemedicine session, and a first computing device configured to: receive treatment data pertaining to the user while the user uses the treatment device to perform the treatment plan; identify at least one aspect of the at least one measurement pertaining to the user associated with a first treatment device mode of the treatment device; determine whether the at least one aspect of the measurement correlates with a secondary condition of the user; and, in response to a determination that the at least one aspect of the at least one measurement is correlated with the at least one secondary condition of the user, generate secondary condition information indicating at least the secondary condition.

A computer-implemented system includes a treatment device configured to be manipulated by a user while the user performs a treatment plan, a patient interface, and a computing device configured to: receive treatment; write to an associated memory, configured to be accessed by an artificial intelligence engine, treatment data, the artificial intelligence engine being configured to use at least one machine learning model to, using the treatment data, generate at least one of a treatment scheduling output prediction and an appointment output; receive, from the artificial intelligence engine, the at least one of the treatment scheduling output prediction and the appointment output; and selectively modify, using the at least one of the treatment scheduling output prediction and the appointment output, the at least one aspect of the treatment plan.

This invention relates to a mobile health and fitness reactive immersive activity space embodied with a plurality of modules and more particularly to a motorized or towed vehicle or vessel with its structural space embodied in modular assembly with sensory flooring and walls, providing a immersive platform for performing health assessments and treatments as well as physical and mental health fitness activities for functional training and therapy, using a plurality of sensors, electronics, electrical and ambient audio-visual stimulation that can be programmed to suit the specific needs of an individual or a group of individuals.

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.

Systems, methods, and non-transitory media are provided for smart sports equipment and integrated platforms. An example method can include receiving, by an integrated platform and from a client device, a request for content associated with a smart ball having a communications device configured to communicate an address for the content to one or more client devices, the request being based on the address from the smart ball; in response to the request, retrieving, by the integrated platform, the content associated with the smart ball; and providing, by the integrated platform, the content to the client device.