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research article
On the identification of sensory information from mixed nerves by using single-channel cuff electrodes
Background: Several groups have shown that the performance of motor neuroprostheses can be significantly improved by detecting specific sensory events related to the ongoing motor task (e. g., the slippage of an object during grasping). Algorithms have been developed to achieve this goal by processing electroneurographic (ENG) afferent signals recorded by using single-channel cuff electrodes. However, no efforts have been made so far to understand the number and type of detectable sensory events that can be differentiated from whole nerve recordings using this approach.
Type
research article
Web of Science ID
WOS:000279904800001
Authors
Publication date
2010
Published in
Volume
7
Start page
17
Peer reviewed
REVIEWED
Available on Infoscience
March 26, 2012
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