Recovering Motor Activation with Chronic Peripheral Nerve Computer Interface

Scientific Reports
Thomas E EggersDominique M Durand

Abstract

Interfaces with the peripheral nerve provide the ability to extract motor activation and restore sensation to amputee patients. The ability to chronically extract motor activations from the peripheral nervous system remains an unsolved problem. In this study, chronic recordings with the Flat Interface Nerve Electrode (FINE) are employed to recover the activation levels of innervated muscles. The FINEs were implanted on the sciatic nerves of canines, and neural recordings were obtained as the animal walked on a treadmill. During these trials, electromyograms (EMG) from the surrounding hamstring muscles were simultaneously recorded and the neural recordings are shown to be free of interference or crosstalk from these muscles. Using a novel Bayesian algorithm, the signals from individual fascicles were recovered and then compared to the corresponding target EMG of the lower limb. High correlation coefficients (0.84 ± 0.07 and 0.61 ± 0.12) between the extracted tibial fascicle/medial gastrocnemius and peroneal fascicle/tibialis anterior muscle were obtained. Analysis calculating the information transfer rate (ITR) from the muscle to the motor predictions yielded approximately 5 and 1 bit per second (bps) for the two sources. This m...Continue Reading

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Citations

Jan 17, 2020·Journal of Neural Engineering·Thiago Bulhões da Silva CostaCristiano Panazio
Nov 18, 2018·Micromachines·Arati SridharanJit Muthuswamy
Jan 5, 2021·Journal of Neural Engineering·Yaser Fathi, Abbas Erfanian
Mar 23, 2021·Journal of Neural Engineering·Valentina PaggiStéphanie P Lacour

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Methods Mentioned

BETA
amputation

Software Mentioned

Hybrid Bayesian Signal Extraction ( HBSE )
MathWorks
Matlab
OptiTrack

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