Described is a system for automatically tuning the sensor feedback of a prosthetic device. The system comprises an electrode or plurality of electrodes in contact with a peripheral nerve of a user wearing a prosthetic device for administering the sensory feedback and an additional stimulus that evokes a muscle response in the user. A sensor is used to measure the muscle response. One or more processors generate a current stimulation pattern that encodes a posture of the prosthetic device. The current stimulation pattern is used in a spinal cord simulation to produce predicted muscle activations. Using the muscle response and the predicted muscle activations, an adjusted stimulation pattern is determined.

An improved method of determining prosthetic alignment utilizes a system which includes multiple movable laser units and an integrated scale to measure angles and other variables of an uninjured leg of a patient based on anatomical landmarks, compare those to angles and variables of an amputated side, and make adjustments to a prosthetic device utilized for the amputated side based on the comparison to ensure proper alignment. For example, the amount of tilt to the side of the prosthetic socket, the amount of tilt to the front and back of the prosthetic socket, the amount of tilt of the prosthetic foot on the sagittal plane, the displacement of the prosthetic foot on the sagittal plane, the rotation of the prosthetic foot on the transverse plane, and the height of the prosthetic device can thereby be adjusted based on measured parameters of the uninjured leg to ensure proper alignment.

A method of generating a touch signal corresponding to a state of a subject, the method including, receiving, from a foot of the subject, multiple wavelength signals corresponding to an applied plantar pressure based on the state of the subject. The method further includes receiving, using channels of a BCI mounted on the subject's head, a plurality of EEG signals (brain signals) that corresponds with wavelength signals. The method further includes transmitting EEG signals to train a classifier to identify a correlation between EEG signals and wavelength signals. The method further includes selecting a subsection of channels with high correlation with wavelength signals. The method further includes forming a secondary dataset by combining the subsection of channels with wavelength signals. The secondary dataset is passed to train a ML model to generate the touch signal corresponding to the subject's state that is relayed to a lower limb prosthesis.

Systems and methods for manual gesture recognition to control prosthetic devices. Low encumbrance systems utilizing glove-based recognition to control prosthetic devices. Prosthetic control systems and methods are also provided utilizing elements for application on the user's fingernails.

A system for powering a prosthetic arm is disclosed. The system includes at least one internal battery located in the prosthetic arm, at least one external battery connected to the prosthetic arm, and a master controller configured to connect either the at least one internal battery or the at least one external battery to a power bus to power the prosthetic arm.

A system for powering a prosthetic arm is disclosed. The system includes at least one internal battery located in the prosthetic arm, at least one external battery connected to the prosthetic arm, and a master controller configured to connect either the at least one internal battery or the at least one external battery to a power bus to power the prosthetic arm.

A prosthetic or exoskeleton component for a prosthesis or exoskeleton includes a shock-absorbing unit. The shock-absorbing unit contains a damping device that can be controlled by way of a control device. A detection device has a sensor unit for receiving a signal. The detection device is configured to detect uneven ground depending on the acquired signal and to control the damping device in response to the detected uneven ground such that a damping property of the damping device can be adjusted on the basis of a signal of the detection device.

A device and method for measuring prosthetic or orthotic slip is presented. An optical sensor device is attached to the prosthesis or orthosis and measures the amount of relative motion between the prosthetic socket and the residual limb surface or between the orthosis and the affected body part. The sensor device is comprised of an optical sensor, a light source, a processing unit and a power source contained within a housing. A system for measuring multidirectional prosthetic or orthotic slip using the sensor device and automatically adjusting the fit of the prosthetic based on a determined threshold is also presented.

A robotic assembly control system is disclosed. The robotic assembly control system includes an exoskeleton apparatus adapted to be worn by a user, at least one robotic assembly, the at least one robotic assembly controlled by the user by way of the exoskeleton, and at least one mobile platform, the at least one mobile platform controlled by the user and wherein the at least one robotic assembly is attached to the at least one mobile platform.

A system for powering a prosthetic arm is disclosed. The system includes at least one internal battery located in the prosthetic arm, at least one external battery connected to the prosthetic arm, and a master controller configured to connect either the at least one Internal battery or the at least one external battery to a power bus to power the prosthetic arm.