TNSRE serves the community of biomedical engineers and clinical researchers who work at the intersection of neuroscience and physical medicine. We publish novel approaches and technologies for better understanding neural systems, human movement, and the relationships between them, with a focus on assistive devices that improve life for patients, for practicing clinicians, and for everyday use.
Eric M. Schearer received the B.S. degree in mechanical engineering and the M.B.A. degree from the University of Notre Dame, Notre Dame, IN, USA, and the M.S. degree in robotics from Carnegie Mellon University, Pittsburgh, PA, USA.
He is an Assistant Professor of Mechanical Engineering at Cleveland State University, Cleveland, OH, USA, and a member of the Cleveland Functional Electrical Stimulation Center. He applies machine learning and robotics techniques to solve system identification and control problems to restore human motion after paralysis with functional electrical stimulation. He previously worked as a consultant at Exponent, Inc., and as a Captain in the United States Air Force.
We present a method to identify the dynamics of a human arm controlled by an implanted functional electrical stimulation neuroprosthesis. The method uses Gaussian process regression to predict shoulder and elbow torques given the shoulder and elbow joint positions and...
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