NDLI: Recording experience with the thin-film Longitudinal Intra-Fascicular Electrode, a multichannel peripheral nerve interface

Content Provider	IEEE Xplore Digital Library
Author	Yoshida, K. Kurstjens, M. Citi, L. Koch, K.P. Micera, S.
Copyright Year	2007
Description	Author affiliation: Indiana Univ.-Purdue Univ., Indianapolis (Yoshida, K.)
Abstract	This paper presents our experience evaluating a multi-channel peripheral nerve interface, the thin-film longitudinal intra-fascicular electrode (tfLIFE). One application for the tfLIFE is their potential use as a means to detect independent channels of volitional commands from the amputee. The neural interface would be required to be sufficiently selective to detect the activity of single motor nerve fibres within the nerve stump. Experiments were conducted in the acute rabbit model evaluate the recording characteristics of the tfLIFE array. Multiunit activity was recorded in response to mechanical stimulation of peripheral mechanoreceptors. In some channels in all experiments, large single unit spikes were clearly visible. These data were then processed to determine whether an artificial discriminator could be trained to detect and track activity from the multi unit recordings. We also tested whether inclusion of multi channel information could be used to improve the performance of the discriminator. Our preliminary results indicate the inclusion of multiple channels significantly improves the performance.
Starting Page	862
Ending Page	867
File Size	5023025
Page Count	6
File Format	PDF
ISBN	9781424413195
DOI	10.1109/ICORR.2007.4428525
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-13
Publisher Place	Netherlands
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrodes Temperature sensors Optical fiber sensors Muscles Nervous system Optical fiber communication Transistors Relays Neural prosthesis Prosthetics
Content Type	Text
Resource Type	Article

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