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Journal of NeuroEngineering and Rehabilitation

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Open Access 01-12-2010 | Research

On the identification of sensory information from mixed nerves by using single-channel cuff electrodes

Authors: Stanisa Raspopovic, Jacopo Carpaneto, Esther Udina, Xavier Navarro, Silvestro Micera

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2010

Abstract

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.

Methods

To this aim, ENG afferent signals, evoked by different sensory stimuli were recorded using single-channel cuff electrodes placed around the sciatic nerve of anesthetized rats. The ENG signals were digitally processed and several features were extracted and used as inputs for the classification. The work was performed on integral datasets, without eliminating any noisy parts, in order to be as close as possible to real application.

Results

The results obtained showed that single-channel cuff electrodes are able to provide information on two to three different afferent (proprioceptive, mechanical and nociceptive) stimuli, with reasonably good discrimination ability. The classification performances are affected by the SNR of the signal, which in turn is related to the diameter of the fibers encoding a particular type of neurophysiological stimulus.

Conclusions

Our findings indicate that signals of acceptable SNR and corresponding to different physiological modalities (e.g. mediated by different types of nerve fibers) may be distinguished.

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Title: On the identification of sensory information from mixed nerves by using single-channel cuff electrodes
Authors: Stanisa Raspopovic
Jacopo Carpaneto
Esther Udina
Xavier Navarro
Silvestro Micera
Publication date: 01-12-2010
Publisher: BioMed Central
Published in: Journal of NeuroEngineering and Rehabilitation / Issue 1/2010
Electronic ISSN: 1743-0003
DOI: https://doi.org/10.1186/1743-0003-7-17

Keynote webinar | Spotlight on medication adherence

Springer Medicine

On the identification of sensory information from mixed nerves by using single-channel cuff electrodes

Abstract

Background

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Background

Methods

Results

Conclusions

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