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 face device for monitoring biomedical parameters of a user provides a support and housing structure shaped so as to be applied to the head of the user, an oximetry sensor fitted to the support and housing structure so as to adhere, in an operating position, to the face of the user at the facial artery, a sound source fitted to the support and housing structure so as to adhere, in an operating position, to a cranial bone of the user, an independently powered electronic board for processing data, received in the support and housing structure and connected to the oximetry sensor and to the sound source so as to detect and process signals coming from the oximetry sensor and to provide information on biomedical parameters to the user acoustically through the sound source. This face device does not engage or distract the user.

An exercise machine accessory is disclosed. In one embodiment, a resistance identifier is configured to identify resistance for an exercise machine associated with the exercise machine accessory, wherein the resistance identifier is coupled to the exercise machine. In one embodiment, a motion identifier is configured to identify exercise motion for a user of the exercise machine. In one embodiment, a communications module is configured to communicate with the user of the exercise machine, wherein the communications module is coupled to the resistance identifier and the motion identifier.

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 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 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 system for reducing trauma in the head or neck of a living being caused by acceleration of the head relative to a torso of the living being within a range of motion. The system includes a support engaging at least one of the head, neck, and shoulder of the living being without limiting the range of motion of the head or neck relative to the torso; a sensor in electrical communication with the system; a user interface in electrical communication with the sensor; and a damper associated with the support that is configured to mitigate the position, speed or acceleration of the head relative to the torso in response to information received by the sensor or user interface.

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.

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.