A rehabilitation system using an artificially intelligent horseback-riding apparatus for hippotherapy, the system comprising: an artificially intelligent horseback-riding apparatus which is ridable; a smartphone which can communicate with a cloud server and has installed an application for controlling the operation state of the artificially intelligent horseback-riding apparatus and operating the horseback-riding apparatus; a diagnostic device which is for diagnosing the state of a patient by means of a brain wave signal of the patient; an operating unit which is for operating the artificially intelligent horseback-riding apparatus; and a cloud server which is for storing, in the smartphone, treatment program and data, necessary for a patient treatment, and for transmitting same.

A system for correcting alignment of a golf club is provided. The golf club includes a shaft, a golf club head mounted on a first end of the shaft, a camera embedded in the golf club head. A display module is adapted to display at least a partial view of the camera. Substantial alignment of a face of the golf club head with a target location will be observable in the display as substantial alignment between the target location with an alignment guide. Misalignment of a face of the golf club head with the target location will be observable in the display as a misalignment between the target location with the alignment guide, for which a position of the golf club can be adjusted to bring the face of the golf club head into substantial alignment with the target location.

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 horse-riding training device comprises a base, a body portion for supporting a rider, the body portion being displaceably mounted on the base, a neck portion pivotally connected to the base and a resilient element which resists displacement of the body portion and the neck portion with respect to the base, which provides a realistic simulation of riding a horse.

A system that comprises a memory device storing instructions, and a processing device communicatively coupled to the memory device. The processing device executes the instructions to: receive user data obtained from records associated with a user; generate a modified treatment plan based on the user data; and send, to a treatment apparatus accessible to the user, the modified treatment plan, wherein the modified treatment plan causes the treatment apparatus to update at least one operational aspect of the treatment apparatus, and update at least one operational aspect of at least one other device communicatively coupled to the treatment apparatus.

A resistance device for exercise bike and bike trainer wherein the resistance is generated and adjusted by the rotation of a conductor and movement of one or a group of permanent magnets proximate to the conductor. The resistance training apparatus of the present disclosure can include a housing, a controller that connects to a computer, one or more sensors, a conductor/brake disk configured to rotate around a first axis, a magnet holding assembly for holding one or more magnets, a drive motor that is controlled by the electronic board to precisely move the magnet holding assembly form a first position to a second position along a second axis, wherein resistance is generated and adjusted by the rotation of conductor/brake disk and the position of the one or more magnets relative to the conductor as the magnetic holding assembly moves along the second axis.

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.

This disclosure relates to systems, media, and methods for quantifying and monitoring exercise parameters and/or motion parameters, including performing data acquisition, analysis, and providing scientifically valid, clinically relevant, and/or actionable diagnostic feedback. Embodiments may be related to systems, devices, methods, and computer-readable media for providing baseline-adjusted real-time feedback to a user. Embodiments may include determining a type of activity for the user. Embodiment may include receiving data from the one or more motion sensors indicating a time-dependent series of three axis acceleration data and three-axis orientation data. Embodiments additionally may include providing a graphical user interface with a real-time representation of the received data. The real-time representation may include a scaled representation of at least one dimension of the time-dependent series of three axis acceleration data and three-axis orientation data for at least one of the one or more motion sensors based on the updated baseline adjustment.

The present disclosure relates to systems and methods for elastic delivery, processing, and storage for wearable devices based on system resources. For example, a wearable apparatus may have at least one battery; at least one sensor configured to measure at least one property associated with a user of the wearable apparatus; at least one memory storing measurements from the at least one sensor and instructions; at least one transmitter configured to send data to a device remote from the wearable apparatus; and at least one processor configured to execute the instructions to: receive, from the at least one battery, an indicator of a charge; and based on the received indicator, sending a command to the at least one sensor to operate in a low-power mode or a high-power mode, the low-power mode having. a lower sampling rate than the high-power mode.

The disclosure herein provides a smart golf pin system and golf GPS device with a mechanism to automatically receive golf hole cup information and display the golf hole information on the golf GPS device. More specifically, the golf GPS device receives data from a plurality of GPS modules installed on the golf pins located throughout the golf course and based on its current location, selects a set of GPS coordinates corresponding to the current hole that the golfer is playing, and displays a distance from the golf GPS device to the actual hole cup location in the current hole, thereby allowing the golfer to fine tune his or her approach accordingly.