Evaluation of Cross-talk in Electromyographic Signals

Activity of skeletal muscles produce electrical signals that can be measured using electrodes placed on the skin surface over a target muscle or with electrodes inserted into the muscle. Such electromyographic (EMG) signals provide fundamental information about the intensity of the neural drive acti...

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Bibliographic Details
Main Author: Cena, Jacob Anthony
Other Authors: Fuglevand, Andrew J.
Language:en_US
Published: The University of Arizona. 2014
Subjects:
EMG
Online Access:http://hdl.handle.net/10150/347116
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-3471162015-10-23T05:35:59Z Evaluation of Cross-talk in Electromyographic Signals Cena, Jacob Anthony Fuglevand, Andrew J. Fuglevand, Andrew J. Eggers, Erika Fregosi, Ralph cross-talk EMG intramuscular monopolar surface Biomedical Engineering bipolar Activity of skeletal muscles produce electrical signals that can be measured using electrodes placed on the skin surface over a target muscle or with electrodes inserted into the muscle. Such electromyographic (EMG) signals provide fundamental information about the intensity of the neural drive acting upon muscle. In addition, EMG signals are widely deployed as control sources for powered prosthetic limbs. One limitation related to recording EMG signals, however, is that signals arising from neighboring muscles may contribute significantly to the activity detected with electrodes placed over or within a given target muscle. Such unwanted contribution of signal from muscles other than the targeted muscle is referred to as cross-talk. Cross-talk was investigated in four neighboring muscles in the forearm with different electrode types and configurations: bipolar intramuscular, monopolar intramuscular, and bipolar surface EMG. Cross-correlation analysis was performed for every pairwise combination of EMG signal recorded. The peak correlation coefficient at near-zero time delay provided an index of the degree of cross-talk. Correlation coefficients dropped off exponentially with distance between recording electrodes. Bipolar intramuscular EMG had the narrowest pick-up range, with a length constant of 14.5 mm. Bipolar surface EMG had a longer length constant of 37.0 mm, whereas monopolar intramuscular EMG had the longest length constant of 64.5 mm. A second set of experiments indicated that correlation in EMG signals detected in different muscles was unlikely to have a neural basis. Therefore, because of their wide detection range, monopolar configurations including those involving intramuscular electrodes, should be avoided. 2014 text Electronic Thesis http://hdl.handle.net/10150/347116 en_US Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author. The University of Arizona.
collection NDLTD
language en_US
sources NDLTD
topic cross-talk
EMG
intramuscular
monopolar
surface
Biomedical Engineering
bipolar
spellingShingle cross-talk
EMG
intramuscular
monopolar
surface
Biomedical Engineering
bipolar
Cena, Jacob Anthony
Evaluation of Cross-talk in Electromyographic Signals
description Activity of skeletal muscles produce electrical signals that can be measured using electrodes placed on the skin surface over a target muscle or with electrodes inserted into the muscle. Such electromyographic (EMG) signals provide fundamental information about the intensity of the neural drive acting upon muscle. In addition, EMG signals are widely deployed as control sources for powered prosthetic limbs. One limitation related to recording EMG signals, however, is that signals arising from neighboring muscles may contribute significantly to the activity detected with electrodes placed over or within a given target muscle. Such unwanted contribution of signal from muscles other than the targeted muscle is referred to as cross-talk. Cross-talk was investigated in four neighboring muscles in the forearm with different electrode types and configurations: bipolar intramuscular, monopolar intramuscular, and bipolar surface EMG. Cross-correlation analysis was performed for every pairwise combination of EMG signal recorded. The peak correlation coefficient at near-zero time delay provided an index of the degree of cross-talk. Correlation coefficients dropped off exponentially with distance between recording electrodes. Bipolar intramuscular EMG had the narrowest pick-up range, with a length constant of 14.5 mm. Bipolar surface EMG had a longer length constant of 37.0 mm, whereas monopolar intramuscular EMG had the longest length constant of 64.5 mm. A second set of experiments indicated that correlation in EMG signals detected in different muscles was unlikely to have a neural basis. Therefore, because of their wide detection range, monopolar configurations including those involving intramuscular electrodes, should be avoided.
author2 Fuglevand, Andrew J.
author_facet Fuglevand, Andrew J.
Cena, Jacob Anthony
author Cena, Jacob Anthony
author_sort Cena, Jacob Anthony
title Evaluation of Cross-talk in Electromyographic Signals
title_short Evaluation of Cross-talk in Electromyographic Signals
title_full Evaluation of Cross-talk in Electromyographic Signals
title_fullStr Evaluation of Cross-talk in Electromyographic Signals
title_full_unstemmed Evaluation of Cross-talk in Electromyographic Signals
title_sort evaluation of cross-talk in electromyographic signals
publisher The University of Arizona.
publishDate 2014
url http://hdl.handle.net/10150/347116
work_keys_str_mv AT cenajacobanthony evaluationofcrosstalkinelectromyographicsignals
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