A muscle training equipment configured to train at least one target muscle of human body and including frame, at least one vibration detector, and at least one resistance adjustment assembly. The at least one vibration detector is configured to be disposed on the at least one target muscle so as to produce at least one muscle vibration signal based on the activity of the at least one target muscle. The at least one resistance adjustment assembly includes motor, handle and linkage assembly. The motor is disposed on the frame and has resistance-adjustable shaft. An end of the linkage assembly is fixed to the resistance-adjustable shaft, and another end of the linkage assembly is pivotally connected to the handle. The at least one resistance adjustment assembly is configured to adjust a resistance force applied on the resistance-adjustable shaft according to the at least one muscle vibration signal.

Systems, apparatuses, and methods for performing robotically assisted physical therapy. The system, apparatus, and method can include a motion platform having three-degrees of freedom to achieve pitch motion, yaw motion, and roll motion; a plurality of motors connected to the motion platform to enable the pitch motion, the yaw motion, and/or the roll motion; at least one sensor configured to collect data relating to position and/or motion of the motion platform; and a motion controller configured to control the motion platform based on the collected data and/or external commands.

An approximation method and system are provided for more quickly controlling a prosthetic or other device by reducing computational processing time in a muscle model that can be used to control the prosthetic. For a given muscle, the approximation method can quickly compute polynomial structures for a muscle length and for each associated moment arms, which may be used to generate a torque for a joint position of a physics model. The physics model, in turn, produces a next joint position and velocity data for driving a prosthetic. The approximation method expands the polynomial structures as long as expansion is possible and sufficiently beneficial. The computations can be performed quickly by expanding the polynomial structures in a way that constrains the muscle length polynomial to the moment arm polynomial structures, and vice versa.

A Pilates Exercise System. A member ID of a member of the Pilates exercise system is received. A selection of a Pilates exercise routine comprising of two or more Pilates exercises is received. Settings associated with a previous performance of at least one of the two or more exercises by the member are provided.

An upper-limb rehabilitation assisting device includes first and second handles coupled to first and second rotating shafts and rotationally operated by hands on a paralytic limb side and a healthy limb side; first and second biosignal detecting parts that detect first and second biosignals corresponding to the paralytic limb side and the healthy limb side; first and second drive parts that drive the first and second rotating shafts; and a control part that performs a cooperative control of the first rotating shaft and the second rotating shaft. The control part controls the torques of the first and second drive parts at the time of the cooperative control of the first and second rotating shafts the basis of the degree of cooperation between the first and second biosignals.

Systems and methods for a muscle signal-driven cycling system for persons with disability for rehabilitation are provided. A system comprises integrating both motor power and muscle power to facilitate rehabilitation cycling-based exercises. By using the intensity of real-time muscle activity signals as inputs, a motor applies either assistive or resistive force to rotate a gear at different speeds to facilitate or impede the cycling motion, and the electrical pulses from an electrical stimulation device can be provided to stimulate target muscles to generate muscle contraction to support the continuous cycling movement.

The present invention is generally directed to methods, systems, and computer program products for coordinating musculoskeletal and cardiovascular hemodynamics, and more directly to stationary and non-stationary exercise equipment that include adjustable behaviors and are used with repetitive activities. The equipment is adjusted automatically in real-time to alter the work output, cadence, and/or timing of the user's physical activity in response to their monitored cardiovascular and musculoskeletal signals to achieve and maintain a targeted coordination of their heart and musculoskeletal pump cycle timing.

A system and method for controlling a device, such as a prosthetic limb are provided. A biomimetic controller of the system comprises a signal processor and a musculoskeletal model. The signal processor processes M biological signals received from a residual limb to transform the M biological signals into N activation signals, where M and N are integers and M is less than N. The musculoskeletal model transforms the N activation signals into intended motion signals. A prosthesis controller transforms the intended motion signals into three or more control signals that are outputted from an output port of the prosthesis controller. A controlled device receives the control signals and performs one or more tasks in accordance with the control signals.

A walk assist robot for lower body walking of a walking trainee, including a joint angle signal measurement unit disposed on a joint of the walking trainee, an electromyogram (EMG) signal measurement unit disposed on a muscle related to ankle joint extension of the walking trainee, a plantar pressure signal measurement unit disposed on a sole of the walking trainee, and a control unit to recognize signals measured from the joint angle signal measurement unit, the EMG signal measurement unit and the plantar pressure signal measurement unit and process the signals to recognize a walking speed intention of the walking trainee, wherein the control unit controls a walking speed of the walk assist robot from the walking speed intention of the walking trainee.

According to one or more embodiments, a biomechanical assistive device is described that generates and provide assist torque by detecting user intent. An example biomechanical assistive device includes a motor, and a controller that generates a torque command for providing assist torque using the motor based on a user activity being performed using the biomechanical assistive device. The controller determines a stride frequency based on a position signal indicative of a position of a joint of the biomechanical assistive device. The controller dynamically adjusts the torque command based on the stride frequency to generate a final torque command. The controller applies the final torque command to the motor.