A stabilizing ability, so-called stability, according to a change in body motion of a wearer is to be appropriately evaluated to achieve effective training, coaching, and fitting of athletic equipment.

Provided are a plurality of body motion sensors 40 that is attached to a wearer 1 or an arbitrary part of a barbell 1a to be used by the wearer 1 and is capable of detecting three-dimensional displacement or rotation of each part, a memory that records a detection result by the plurality of body motion sensors 40 as body motion data and stores index data holding a correlation between an amount of deviation from a stable reference value for evaluating reproducibility of body motion and an index for evaluating a stabilizing ability, an index calculation unit 117g that refers to the index data based on a reference value or a threshold acquired from the recorded body motion data and calculates the index for evaluating the stabilizing ability, and an output device that displays or outputs the index calculated by the index calculation unit 117g.

A stabilizing ability, so-called stability, according to a change in body motion of a wearer is to be appropriately evaluated to achieve effective training, coaching, and fitting of athletic equipment. Provided are a plurality of body motion sensors 40 that is attached to a wearer 1 or an arbitrary part of a barbell 1a to be used by the wearer 1 and is capable of detecting three-dimensional displacement or rotation of each part, a memory that records a detection result by the plurality of body motion sensors 40 as body motion data and stores index data holding a correlation between an amount of deviation from a stable reference value for evaluating reproducibility of body motion and an index for evaluating a stabilizing ability, an index calculation unit 117g that refers to the index data based on a reference value or a threshold acquired from the recorded body motion data and calculates the index for evaluating the stabilizing ability, and an output device that displays or outputs the index calculated by the index calculation unit 117g.

There is provided a plank exercise device including a support portion adapted to receive arms or hands of a person and adapted to receive a display device, a destabilizer connected to the support portion, and a stationary base adapted to hold the destabilizer.

A device for measuring contractions and/or relaxation of one or more muscles of a body cavity, the device having a hollow body which is for positioning in the body cavity and which is covered by a coating made of or having a biocompatible material, the body being formed of two half-shells which are each physically connected, permanently and continuously during the use of the device, with the aid of non-compressible or deformable connecting means, to at least one pressure sensor, or part of the pressure sensor, arranged in the body. Also, a method for measuring the contraction and/or relaxation of the muscles of a body cavity, a method for monitoring the contractions and/or relaxation of the muscles, and a method for exercising these muscles.

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.

According to an embodiment of the present disclosure, a left and right balancing system for a treadmill may comprise two detection devices respectively installed at a left and right side of the treadmill, detecting strengths of vibrations respectively at the left and right side of the treadmill when a user exercises on the treadmill, generating detection strength signals according to the detected strengths, and transferring the generated detection strength signals to the user, and a notification device receiving the detection strength signals from the detection devices and indicating the user's left and right balance state.

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 method: includes the following steps: processing, by a computing device, at least a stretch value per strap of straps of a motion tracking system; comparing, by the computing device, the stretch value of each strap or a length value derived therefrom with a stored baseline value of the respective strap, the stored value being associated with the same person, and the length value being representative of a length of a respective strap at least based on the respective stretch value. The method further includes executing, by the computing device, a corrective action at least when one of the comparisons made exceeds a predetermined threshold. Also, a motion tracking system, a data processing device, a computer program, and a computer-readable medium are related.

There is provided a plank exercise device including a support portion adapted to receive arms or hands of a person and adapted to receive a display device, a destabilizer connected to the support portion, and a stationary base adapted to hold the destabilizer.