Described herein are systems and methods for favorably coordinating a timing relationship between a musculoskeletal activity cycle and a cardiac cycle of a user. A method may include repetitively detecting a signal that correlates to a blood volume in the user; determining an actual value of the signal that varies with the timing relationship; computing a trend of the actual value of the signal; and adjusting the movement guidance based on the trend of the actual value. A system may include a prompt device configured to provide recurrently a movement guidance to the user for guiding performance of the rhythmic musculoskeletal activity; a sensor configured to provide a signal that correlates to a blood volume in the user; and a processor configured to determine an actual value of the signal that varies with the timing relationship and to adjust the movement guidance based on the trend of the actual value.

The invention(s) described are configured to process sensor data in order to optimize or otherwise improve training of users for achievement of goals in relation to performing an activity. The invention(s) can also iteratively adapt training in a personalized manner, with assessment of training results and subsequent modification of training regimens, in order to provide improved alignment between users and their goals. Such iteration can drive interventions provided to users throughout the course of training, and allow the system to iteratively develop better and more precise interventions (e.g., through manual means, through machine learning models with generated training and test data). Such iteration, with large datasets applied to populations of users can also increase the breadth of user states that the can be addressed, with respect to provided interventions, and improve rates at which interventions are provided.

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 pelvic floor muscle training device and system include a pelvic floor muscle training device, an intelligent terminal, a cloud server, a VR device, and a few application programs. The user does Kegel exercise wearing the training device, with the help of the VR device and scene induction, synergistic or independently, thus enhancing pelvic floor muscle function.

A system for facilitating a subject's functional development includes sensing devices configured for sensing mind state signals; sensing devices configured for sensing body state signals; and a set of processing resources configured for generating a mind state indicator/measure, a body state indicator/measure, and a mind-body synergy indicator/measure that corresponds to which each of the subject's mind state and body state are synergistically aligned for facilitating the subject's functional development. The system can be configured for concurrently presenting a set of activities involving a model body part; engaging in attempted imitation of the set of activities by way of attempted movement of a body part that is a mirror image of the model body part; presenting an indication of an extent to which each of the mind state and body state are cooperative with respect to performance of the set of activities; and presenting an indication of relaxation.

The invention determines an efficiency value (E) denoting preferably the relative period of muscle fiber activity during a recorded period of exercise, and a strength value (S) representing the number of muscle fibers recruited during a movement as part of the exercise or of a muscle contraction, and a temporal value (T) representing the frequency with which muscle fibers are activated repeatedly during exercise, and finally combines the efficiency value (E), the strength value (S) and the temporal value (T) by a linear combination to obtain an index value (ESTi) indicative of the fitness level of the individual. The obtained ESTi Score is useful for assessing the training level of an animal or human individual and the individual's potential for different types of sports and other activity. Also the effect of past training or diet can be assessed, and the possible need for changes in training or diet can be assessed.

An Internet of Thing (IoT) device includes a camera coupled to a processor; and a wireless transceiver coupled to the processor. Blockchain smart contracts can be used with the device to facilitate secure operation.

A muscle training apparatus with muscle strength detecting function includes a first supporting shell, a plurality of membrane pressure-sensing units, an arithmetic processing unit and an elastic covering unit. The first support shell is spherical and has a first outer surface and a first containing space. The membrane pressure-sensing unit is disposed on the first outer surface of the first support shell. The arithmetic processing unit is disposed in the first containing space and electrically connected to the membrane pressure-sensing unit. The elastic covering unit covers the first support shell.

A pelvic floor muscle training and profiling apparatus for inserting into a body cavity of a human, said apparatus comprising; a body having a distal end, an opposite proximal end and an outer surface, the body extending between said ends, a sensor array encompassed in the body, the sensor array comprising a sensor unit, the sensor unit being adapted for detecting an exterior force applied to the outer surface of the body, a micro-control unit adapted to receive sensor data from the sensor array, wherein the sensor unit is adapted for detecting a specific position of the exterior force applied to the outer surface of the body.

Systems, methods, and computer program products which facilitate the ability of a user to monitor and assess the location of and forces transferred to various joints, muscles, and limbs and their relative positions at each and every moment during normal daily activities, training loads of an exercise, or a competitive or high intensity athletic endeavors, in order to mitigate and reduce the risk of injury as well as to track fitness performance elements are disclosed. In an aspect, systems, methods, and computer program products are disclosed which utilize at least one sensor in order to capture a user's movement information during various tasks and exercises. This movement information may then be analyzed in order to determine quantifiable values for the user's likelihood of experiencing an injury and/or the user's overall fitness, generally. The systems, methods, and computer program products of the present disclosure may also be used to measure a user's neuromuscular efficiency and help the user make improvements thereto.