An intelligent system that automatically adjusting optimal rehabilitation intensity or exercise volume with personalized exercise prescription, comprising: upload the physiological information data measured by registered members to a cloud data integration server through the Internet; an expert diagnostic unit, which can download and use the member's physiological information data from the cloud data integration server. After the diagnosis, a personalized exercise prescription is issued and uploaded to the cloud data integration server; a rehabilitation fitness equipment unit can download the exercise prescription from the cloud data integration server to control and automatically adjust the optimal rehabilitation intensity or exercise volume; after being diagnosed by experts such as doctors, rehabilitators or fitness coaches, the optimal parameter values of a continuously updated artificial intelligence exercise prescription can be used to improve the efficacy of personal rehabilitation or exercise fitness.

A training device and a training method for reducing hypertonic are disclosed. The training device includes a base, a driving circuit, two pedals, a control circuit, and a switch circuit. The driving circuit is fixed on the base. Each of the two pedals is coupled to the base. The driving circuit drives each of the two pedals to swing repeatedly between a first position and a second position relative to the base. When the control circuit executes a training program, the control circuit actuates the driving circuit.

The present invention provides a sports mask for breathing training. The sports mask includes a head assemble containing clips to hold the mask against the head. The sports mask further includes a face band assembly that includes straps that are received by the clips present on the head assembly to hold the face assembly against the face of a user. The face assembly includes a face mask unit comprising an airflow valve. The airflow valve includes an airflow resistance varying module that helps in varying flow of air into the airflow valve. The control of airflow resistance varying module can be either manual or automatic when the mask is connected to a wearable device or a vital parameter collection device.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

Systems, methods, and computer-readable mediums for operating an electromechanical device are disclosed. The system includes, in one example, the electromechanical device, a patient portal, and a computing device. The computing device is configured to receive user data relating to a user, and receive treatment data relating to treatment plans and outcomes. The computing device is also configured to generate a prehabilitation plan by using a machine learning model to process the user data and the treatment data. The computing device is further configured to select, for the electromechanical device, an electromechanical device configuration that enables exercises of the prehabilitation plan to be performed by the user such that performance improves an area of the user's body. The computing device is also configured to enable the electromechanical device to implement the electromechanical device configuration.

When controlling load torque of a drive unit on the basis of a biological signal detected from a subject's lower limb parts, adjustments are made to a hybrid ratio of voluntary control to generate running torque and a rotational speed of a crank according to the subject's intention and autonomous control to generate assisting power for the subject's pedaling motion on the basis of a rotation angle of the crank.

Systems, devices, and methods for elevating weights are disclosed. A lifting bar rotates about a rotating joint attached to a vertical support. As the system is engaged, the lifting rotates from a downward position parallel to the vertical support to a horizontal position, a hook on the lifting bar engaging the weight and lifting it.

An exercise assistance system includes an arithmetic circuit, a core temperature sensor that measures a core temperature of a subject, a heart rate sensor that measures a heart rate of the subject, and a display device. The arithmetic circuit is configured to cause the display device to present actions to be taken by the subject, based on the core temperature of the subject measured by the core temperature sensor and the heart rate of the subject measured by the heart rate sensor.

Embodiments disclosed herein relate to a garment system including at least one sensor and at least one actuator that operates responsive to sensing feedback from the at least one sensor to cause a flexible compression garment to selectively constrict or selectively dilate, thereby compressing or relieving compression against at least one body part of a subject. Such selective constriction or dilation can improve muscle functioning or joint functioning during use of motion-conducive equipment, such as an exercise bike or rowing machine.

An exercise treadmill is disclosed. The treadmill can include one or more sensors to acquire input data. A computer system can trigger one or more actions based on the input data. The input data can correspond to a lengthwise position of the user along a length of a usable surface of the platform and/or a lateral position of the user on the belt. The action(s) can include providing feedback to the user and/or adjusting rotation of the belt and/or a resistance of rotation of the belt. The adjustment can be performed in response to input from a user control requesting the adjustment.