An exercise apparatus is provided that allows the user to assist the force applied with one arm or leg by exerting force from another appendage, without the use of complex mechanical linkages. The apparatus may also be reconfigured to accommodate the user in a wide variety of positions.

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.

A low friction rehabilitation board having an integral band retaining feature is described. The rehabilitation board may have a coefficient of static friction of no more than about 0.5 and in some embodiments no more than about 0.06. The rehabilitation board has a plurality of band retaining feature configured along one or both ends and may be an integral band retaining features being formed in the board. Additionally, the rehabilitation may include one or more band retaining features on one or both sides of the board. The unique configuration of the band retaining features enables rehabilitation method heretofore not possible with a single board. Resistance bands may be retained in the band retaining features and coupled to a user's limb, such as a foot or ankle, to resist motion, such as sliding or extending the foot along the low friction surface of the rehabilitation board.

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.

A computer-implemented system may include a treatment device configured to be manipulated by a user while the user is performing a treatment plan, a patient interface. and a computing device configured to: receive treatment data pertaining to the user who uses the treatment device to perform the treatment plan; identify at least one enhanced component using the treatment data; generate an enhanced environment using the at least one enhanced component and the treatment plan; output at least one aspect of the enhanced environment to at least one of the patient interface and another interface; receive subsequent treatment data pertaining to the user; and selectively modify at least one of the enhanced environment and at least one of the at least one aspect of the treatment plan and any other aspect of the treatment plan using the subsequent treatment data.

To more effectively improve mobility impairment of a user by supporting rehabilitation, this invention provides a rehabilitation support apparatus for supporting rehabilitation of a user with mobility impairment, including a requester that requests a target action in a three-dimensional virtual space, and a feedback unit that performs feedback that stimulates at least two of five senses to the user who has performed the target action almost at the same time as a timing of performing the target action.

A body weight support system includes a tether configured to be coupled to an attachment device worn by a user to couple the user to the body weight support system. A method of providing gait training includes defining a reference length of the tether when the attachment device is in an initial position and defining a threshold length of the tether. A first amount of body weight support is provided during the gait training as the user moves relative to a surface and the length of the tether is less than the threshold length. A second amount of body weight support is provided during the gait training as the user moves relative to the surface and the length of the tether is greater than the threshold length. The method further includes displaying data associated with the gait training on a display of an electronic device.

Systems are disclosed for providing rehabilitation for hand and arm impairment after a stroke or other neurodegenerative condition.

A method is disclosed for using an artificial intelligence engine to interact with a user of an exercise device during an exercise session. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive data as input, and based on the data, providing an output. While a user performs an exercise using the exercise device, the method includes receiving the data from an input peripheral of a computing device associated with the user. Based on the data being received from the input peripheral, the method includes determining, via the machine learning model, the output to control an aspect of the exercise device.

A method is disclosed for using an artificial intelligence engine to perform a control action. The control action is based on one or more measurements from a wearable device. The method includes generating, by the artificial intelligence engine, a machine learning model trained to receive the one or more measurements as input, and outputting, based on the one or more measurements, a control instruction that causes the control action to be performed. The method includes receiving the one or more measurements from the wearable device being worn by a user, determining whether the one or more measurements indicate, during an interval training session, that one or more characteristics of the user are within a desired target zone, and responsive to determining that the one or more measurements indicate the one or more characteristics of the user are not within the desired target zone during the interval training session, performing the control action.