Disclosed is a technical training garment configured for use with modular, interchangeable electronics and resistance modules. The garment provides resistance to movement throughout an angular range of motion and tracks biomechanical parameters such as stride length, stride rate, angular velocity and incremental power expended by the wearer. The garment may be low profile, and worn by a wearer as a primary garment or beneath or over conventional clothing. Alternatively, the device may be worn as a supplemental training tool during conventional training protocols.

A breathing training, monitoring and/or assistance device is provided for home use. The device is for providing support and guidance during the training of breathing exercises. The device takes account of external data which relates to one or more of: the environmental conditions in which the device is being used; activity information in respect of the user; physiological sensor data about the user which is not related to breathing characteristics.

Exemplary embodiments of the present disclosure are directed to systems, methods, and computer-readable media configured to autonomously track a round of golf and/or autonomously generate personalized recommendations for a user before, during, or after a round of golf. The systems and methods can utilize course data, environmental data, user data, and/or equipment data in conjunctions with one or more machine learning algorithms to autonomously generate the personalized recommendations.

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.

One or more accelerometers embedded with an earbud and/or a set of earphones are able to sense a moving pace of a user. Based on a moving pace of the user, a signal is sent to a remotely connected electronic device. The electronic device is able to separately increase and decrease a beat or rhythm of the audio from the electronic device based on a pace of the user. In some embodiments, an audio alert is sent to the user to inform the user of pace and whether the user has increased or decreased their pace. Additionally, in some embodiments, a program stored on the electronic device is used to compare the user's current progress and/or speed based on past runs and workouts.

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.

A wireless power system for an exercise machine for providing electrical power wirelessly to an electrical energy storage device or electrical energy consuming device attached to a movable carriage of an exercise machine. The wireless power system for an exercise machine generally includes an exercise machine which includes a frame having one or more rails. A carriage is movably positioned upon the rails to allow an exerciser to move the carriage when performing an exercise. A wireless power receiver is attached to the carriage that wirelessly receives electrical energy transferred from a wireless power transmitter. An electrical energy storage device or an electrical energy consuming device attached to the movable carriage is electrically connected to the wireless power receiver to receive electrical power from the wireless power receiver.

A computer-implemented system may include a stair-climbing machine configured to be manipulated by a user while the user performs a treatment plan, an interface comprising a display configured to present information associated with the treatment plan, and processing structure configured to receive, from one or more data sources, information associated with the user, wherein the information comprises one or more risk factors associated with a cardiac-related event; generate, using one or more trained machine learning models, the treatment plan for the user, wherein the treatment plan is generated based on the information associated with the user, and the treatment plan comprises one or more exercises associated with managing the one or more risk factors in order to reduce a probability that a cardiac intervention will occur; and transmit the treatment plan to cause the stair-climbing machine to implement the one or more exercises.

An athletic training system (200) has a data recording system (202) and a data engine (204). The data recording system (202) is configured to record an athletic competition event. The event may have a first team of players competing against a second team of players. The data engine (204) is configured to receive data associated with the recorded athletic competition event. The data engine (204) processes the data and displays the data as a replay of the event in animated form.

The present invention provides methods and tools for improving training regimes and optimizing exercise effects. It is ideally suited for rehabilitation services, sports medicine, gym workouts, occupational therapy, physical therapy, and training setups including especially arduous endeavors or occupations, such as military personnel, fighter pilots, astronauts, law enforcement, intense athletes, etc. This invention provides enhanced biofeedback towards a complete and comprehensive understanding of the body's real-time metabolic status and capabilities. Specialists, such as cardiologists and vascular surgeons, will find the simultaneous feedback from separate quadrants of the body especially useful in predicting future events. A series of wearable wireless nanosensor appliances on the body and/or in handlebars, grips, gloves, etc., monitors biomolecules emitted from hands, ankles, fingers, head, torso, etc. The analytical system assesses real-time metabolic status of the individual. Both small and large molecules can be analyzed, e.g., to indicate the fuels being used (e.g., proteins, sugars, fats), tissue breakdown products (including, but not limited to skeletal muscle, cardiac muscle, ketones, fat cells, etc.), hormones, liver and lung metabolites, etc. Devices of the invention use highly sensitive compound selective nanosensing elements to produce real-time status and summary reports immediately available to the practicing individual, coach, manager, teammate, therapist, and/or other selected party of interest.