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Multichannel cuff electrodes for peripheral nerve stimulation and recording

Lookup NU author(s): Dr Emma Brunton, Dr Chris Blau, Dr Kianoush Nazarpour

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This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by IEEE, 2017.

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Abstract

© 2016 IEEE. In the development of neuroprostheses to restore sensory and motor function to disabled patients the choice of the electrodes to be used remains an important consideration. The optimal electrode design should be minimally invasive and be capable of recording or stimulating selectively a large number of nerve fibers. Additionally, the electrodes should be capable of delivering stimulation within electrochemically safe limits. Here we report on the use of a multi-contact cuff electrode for stimulation and recording from peripheral nerves. Nerve cuffs with 16 electrodes, comprising 4 rings of 4 electrodes, were implanted around the sciatic nerve of two rats. The electromyogram signal (EMG) was recorded in response to electrical stimulation delivered by the electrodes, and the electroneurogram signal (ENG) was recorded in response to sensory stimulation applied to the ipsilateral foot. Visually detectable muscle movements were elicited with charge injections ranging from 4.6 to 8.2 nC. ENG recordings in response to sensory stimulus allowed for the onset and culmination of sensory stimulation to be detected using mean absolute value of the signal. Initial results indicate that flexion and extension of the ankle joint can be differentiated by combining information recorded from pairs of electrodes. The results of this study indicate that multi-contact cuffs can be used for decoding neural signals; however, more data needs to be collected for classification of sensory movements to be tested.


Publication metadata

Author(s): Brunton E, Blau CW, Nazarpour K

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2016)

Year of Conference: 2017

Pages: 3223-3227

Online publication date: 09/02/2017

Acceptance date: 02/04/2016

Publisher: IEEE

URL: https://doi.org/10.1109/SMC.2016.7844730

DOI: 10.1109/SMC.2016.7844730

Library holdings: Search Newcastle University Library for this item

ISBN: 9781509018970


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