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 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.

The present disclosure provides an electronic apparatus. The electronic apparatus includes a sensor and a processor electrically connected to the sensor and configured to generate information indicating a start of an activity when first data indicating that an activity of the electronic apparatus occurs is received from the sensor and generate information indicating a start of an exercise when second data indicating that the activity is associated with the exercise is received from the sensor.

Described herein are devices and systems relating to sports training equipment, for example, for baseball. These devices and systems can comprise a mat with markers identifying a plurality of positions on the mat. In some embodiments, the system can comprise removably attachable footpads to identify ideal foot positions for an athletic performance. In some embodiments, the footpads comprise one or more pressure sensors. The system can comprise one or more position sensors on a ball, and one or more position sensors removably attachable to a hand-held sports instrument. In some embodiments, the system can comprise a memory, communicatively coupled to a processor and a camera, with executable instructions to implement a set-up component, a user recognition component, a practice component, and instructional component, and a play component.

A fitness tracking system for generating movement variables corresponding to movement of a user includes a monitoring device, a personal electronic device, and a remote processing server. The monitoring device is configured to be worn or carried by the user and includes a movement sensor configured to collect movement data. The personal electronic device is operably connected to the monitoring device. At least one of the personal electronic device and the monitoring device is configured to calculate feature data by applying a set of rules to the movement data, to calculate raw speed data corresponding to a speed of the user from the subset of the movement data, and to calculate raw distance data corresponding to a distance moved by the user from the subset of the movement data. The remote processing server includes a machine learning model for processing at least the feature data.

Portable fitness monitoring methods are disclosed. In an embodiment, a portable fitness monitoring method includes a method for providing audible output to a user during an athletic activity using a portable fitness monitoring device. The method includes the steps of receiving an audio feedback file package that includes a first audio feedback file, updating the audio feedback file package, and processing the updated audio feedback file package to provide audible output to the user through an audio output device during the athletic activity.

An apparatus for communication, a system thereof, and methods of manufacture thereof are provided. The apparatus comprises a body and a printed circuit board (PCB) operatively coupled to the body. The PCB comprises a processing unit, a first communication module operatively coupled to the processing unit, and an array of assemblies. The first communication module is configured to communicate with a secondary communication module wirelessly. The array of assemblies comprises at least two rows and at least two columns. Each assembly comprises a switch and a light. The array of assemblies are operatively coupled to the processing unit. Each light is configured to change a state responsive to at least one of a change in state by the switch within the same assembly and a control signal from the first communication module.

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.

A system and method provides real-time coaching and adjustment to training. A wearable device may be configured for over-the-ear wear, which includes a speaker, a transceiver, and sensors to measure biometric activity in the user while worn during athletic performance training. The system uses a method which compares past performance to current performance and training goals to adjust a training plan during performance for maximizing training results. The system analyzes current and past performance and generates new training performance output goals in real-time based on the user's current performance. The system then transmits coaching output during a live training session instructing the user on how to adjust their performance output during a current training session. Some embodiments include connecting to smart gym apparatus which connect to the system and automatically increase/decrease resistance/speed depending on the system determining a need to change performance output for maximum gains.

In a first aspect, a method for monitoring a golf swing is provided that includes coupling a mobile telephone to a golf club and employing the mobile telephone coupled to the golf club to monitor acceleration of the mobile telephone as the mobile telephone swings while a user swings the golf club, collect acceleration information based on the monitored acceleration of the mobile telephone as the mobile telephone swings, analyze the collected acceleration information to determine one or more characteristics of the golf swing based on the collected acceleration information, and output information regarding the one or more characteristics of the golf swing on the display of the mobile telephone. Numerous other aspects are provided.