Battelle Memorial Institute

Michael A Schwemmer

David A Friedenberg

Gaurav Sharma

Samuel Colachis

Patrick Ganzer

Nicholas D Skomrock

At least one electrical brain signal is received from a patient and is demultiplexed into an efferent motor intention signal and at least one afferent sensory signal (such as an afferent touch sense signal and/or an afferent proprioception signal). A functional electrical stimulation (FES) device is controlled to apply FES to control a paralyzed portion of the patient that is paralyzed due to a spinal cord injury of the patient. The controlling of the FES device is based on at least the efferent motor intention signal. A demultiplexed afferent touch sense signal may be used to control a haptic device. The afferent sensory signal(s) may be used to adjust the FES control.

Motor function neural control interface for spinal cord injury patients

A brain-computer interface (BCI) includes a multichannel stimulator and a decoder. The multichannel stimulator is operatively connected to deliver stimulation pulses to a functional electrical stimulation (FES) device to control delivery of FES to an anatomical region. The decoder is operatively connected to receive at least one neural signal from at least one electrode operatively connected with a motor cortex. The decoder controls the multichannel stimulator based on the received at least one neural signal. The decoder comprises a computer programmed to process the received at least one neural signal using a deep neural network. The decoder may include a long short-term memory (LSTM) layer outputting to a convolutional layer in turn outputting to at least one fully connected neural network layer. The decoder may be updated by unsupervised updating. The decoder may be extended to include additional functions by transfer learning.

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Columbus, OH, United States of America

Michael A Schwemmer