University of California

California Institute of Technology

University of Southern California

Zoran Nenadic

Payam Heydari

Joel W Burdick

Richard A Andersen

Michael T Wolf

An Do

Edward A Branchaud

Charles Liu

Jorge G Cham

A fully-implantable brain-computer interface cyber-physical system capable of acquiring and analyzing electrocorticogram ('ECoG') signals, recorded directly from the subdural space of the brain, to enable direct brain control of a prosthetic (e.g., a robotic gait exoskeleton or a functional electrical stimulation ('FES') system) is disclosed. The present system comprises a plurality of electrodes, for acquiring the ECoG signals, and a digital signal processor (&#x201c;DSP&#x201d;) for deriving a plurality of real-time commands from the ECoG signals. These real-time commands may then be wirelessly transmitted to the prosthetic for execution. Further, to avoid wireless data transmission of the ECoG signals from the plurality of electrodes to the DSP, which would expose the brain, skull, and scalp tissue to potentially harmful radio frequencies, a subcutaneous tunneling cable operatively couples the plurality of electrodes and the DSP.

Implantable electrocorticogram brain-computer interface system for restoring extremity movement

The present invention relates to systems and methods for controlling neural prosthetic devices and electrophysiological recording equipment, and for using the same in clinical operation. Various embodiments of the invention are directed to an algorithm for autonomously isolating and maintaining neural action potential recordings. The algorithm may be used in connection with a neural interface microdrive capable of positioning electrodes to record signals from active neurons.

Prosthetic devices and methods and systems related thereto

Growing community of inventors

Irvine, CA, United States of America

Zoran Nenadic