Rutgers, the State University of New Jersey

David J Curcie

William Craelius

James A Flint

A method for controlling digit movement of a prosthesis based on residual forelimb volitional pressures is provided. A filter is provided for discriminating from the distributed pressures to provide reliable digit control. The extracted commands can be used to control actuators in a hand prosthesis to restore biomimetic finger control to the user. Feature extraction algorithms can be based on signal amplitudes (peak amplitude or root mean square). Training signal validation can be based on cepstral encoding. The filter is trained under user supervision.

Methods of biomimetic finger control by filtering of distributed forelimib pressures

An encoding and classification method is provided which is capable of comprehensively featuring relevant spectral information for the early detection of diabetes-induced cardiac autonomic neuropathy using the LP-cepstral discriminant classifier for quick, noninvasive assessment (screening) of neuropathy in diabetics. Patients are tested in the supine position thus avoiding the stresses to the patient that are associated with tilt table testing.

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Toms River, NJ, United States of America

David J Curcie