The invention relates to a portable massage appliance having a shape-modifiable contact segment to be placed onto a body region to be massaged and one or more electrically drivable massage elements that are arranged inside a main part and are designed to cause modification of the shape of the contact segment during operation, a protective segment being arranged between the contact segment and the inner part of the main part.

A computer-implemented method is disclosed. The method includes receiving, at a computing device, a first treatment plan designed to treat an invasive surgical-related health issue of a user. The first treatment plan comprises at least two exercise sessions that, based on the invasive surgical-related health issue, enable the user to perform an exercise at different exertion levels. Next, while the user uses the electromechanical machine to perform the first treatment plan, receiving, at the computing device, data from sensors configured to measure the data associated with the invasive surgical-related health issue and transmitting the data. One or more machine learning models are used to generate a second treatment plan. The second treatment plan modifies at least one exertion level, and the modification is based on a standardized measure comprising perceived exertion, the data, and the invasive surgical-related health issue. The method additionally includes receiving the second treatment plan.

Systems including an elliptical machine and a processing device. The processing device may be configured to receive, before or while a user operates the elliptical machine, one or more messages pertaining to the user or a use of the elliptical machine by the user. The processing device may be also configured to determine whether the one or more messages were received by the processing device. In response to determining that the one or more messages were not received by the processing device, the processing device may be configured to determine, via one or more machine learning models, one or more actions to perform. The one or more actions may include at least one of initiating a telecommunications transmission, stopping operation of the elliptical machine, and modifying one or more parameters associated with the operation of the elliptical machine.

A computer-implemented system may include a rowing 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 a processing device 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 rowing machine to implement the one or more exercises.

A computer-implemented system includes a processing device configured to receive a plurality of user and blood vessel characteristics associated with a user, generate a selected set of user and blood vessel characteristics, determine, based on the selected set of the user and blood vessel characteristics, a probability that angiogenesis will occur, and generate, based on the probability and the selected set of the user and blood vessel characteristics, a treatment plan that includes one or more exercises directed to modifying the probability that angiogenesis will occur, and a treatment apparatus configured to implement the treatment plan while the treatment apparatus is being manipulated by the user.

A motion assistance apparatus may include a first fixing member to be fixed to a portion of a user, a second fixing member to be fixed to another portion of the user, a driving source provided in the first fixing member, a power transmitting member connected between the driving source and the second fixing member, a sensing portion configured to sense a fixing state of the first fixing member or the second fixing member, and a controller configured to control the driving source based on information received from the sensing portion.

The present invention is directed to an autonomous exoskeleton device that includes one or more actuators, one or more controllers, one or more sensors with one or more unidirectional transmissions. The present invention provides a mechanical joint in parallel with a biological joint. The exoskeleton device preferably includes and electric motor and winch, chain, belt, cam transmission or other mechanism for providing unidirectional force to assist rotation about the biologic joint. Moreover, a controller, a motor angle sensor, joint angle sensor and/or force sensor may be used for additional control and monitoring of the device. The motor may be any type of motor, but is preferably brushless in configuration where its diameter is larger than its length to provide a compact and lightweight exoskeleton device.

The present invention relates to an assisted rehabilitation system comprising a device with static-bicycle movement, and devices that automatically sense and manipulate body performance parameters, allowing the rehabilitation response process of a user to be optimised. In particular, the sensing devices measure the pedalling rate, the pedalling resistance and the user's pulse rate, allowing the optimum exercising range to be configured, depending on the data acquired from the patient and on the level of effort required from him or her. The system also comprises two motors. One motor drives a flywheel that allows the user to experience a variation in the pedalling rate while using the device. A second motor provides different levels of pedalling resistance, allowing muscular strength to be developed. When starting the activity, the user enters, on a touchscreen, the preliminary parameters for the desired pedalling rate and resistance level, which are analysed by a processing unit that calculates a suitable rehabilitation plan.

An artificial knee is configured to be worn by a person. Artificial knees include a thigh link configured to move in unison with a thigh of the person, and a shank link configured to be coupled to the thigh link. Artificial knees include a compression spring coupled to the thigh link at a first end of the compression spring, the compression spring configured to be coupled to the shank link at a second end of the compression spring. The compression spring is configured to provide an extension torque between the thigh link and the shank link during a first range of motion of the thigh link and the shank link relative to each other. The compression spring is configured to provide a flexion torque between the thigh link and the shank link during a second range of motion of the thigh link and the shank link relative to each other.

A computer-implemented system includes one or more processing devices configured to receive user information associated with a user, generate a selected set of the user information, determine, based on the selected set of the user information, at least one of a first probability of surviving one or more procedures and a second probability indicating an improvement, resulting from the one or more procedures, in quality-of-life metrics for the user, generate, based on the at least one of the first probability and the second probability and on the selected set of the user information, one or more recommendations of whether the user should undergo the one or more procedures, and generate, based on the one or more recommendations, a treatment plan that includes one or more exercises directed to modifying the at least one of the first probability and the second probability.