Background Multi-articulate prostheses are capable of performing dexterous hand
movements. However, clinically available control strategies fail to provide users with …

We describe use of a bidirectional neuromyoelectric prosthetic hand that conveys
biomimetic sensory feedback. Electromyographic recordings from residual arm muscles …

We quantified prosthesis embodiment and phantom pain reduction associated with motor
control and sensory feedback from a prosthetic hand in one human with a long-term …

Objective. While prosthetic hands with independently actuated digits have become
commercially available, state-of-the-art human-machine interfaces (HMI) only permit control …

Robotic exoskeletons can assist humans with walking by providing supplemental torque in
proportion to the user's joint torque. Electromyographic (EMG) control algorithms can …

Intuitive control of prostheses relies on training algorithms to correlate biological recordings
to motor intent. The quality of the training dataset is critical to run-time performance, but it is …

Multiarticulate bionic arms are now capable of mimicking the endogenous movements of the
human hand. 3D-printing has reduced the cost of prosthetic hands themselves, but there is …

Continuous movement intent decoders are critical for precise control of hand and wrist
prostheses. Noise in biological signals (eg, myoelectric or neural signals) can lead to …

Significance: A number of movement intent decoders exist in the literature that typically differ
in the algorithms used and the nature of the outputs generated. Each approach comes with …

This research aims to develop safe, robust, and easy-to-use adaptive technology for
individuals with tetraplegia. After a debilitating spinal cord injury, clinical care focuses on …