Combined surface and intramuscular EMG for improved real-time myoelectric control performance

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dc.contributor.authorKamavuako, Ernest N.
dc.contributor.authorScheme, Erik J.
dc.contributor.authorEnglehart, Kevin B.
dc.date.accessioned2023-12-21T18:01:26Z
dc.date.available2023-12-21T18:01:26Z
dc.date.issued2014-03
dc.description.abstractThe four main functions that are available in current clinical prostheses (e.g. Otto Bock DMC Plus®) are power grasp, hand open, wrist pronation and wrist supination. Improving the control of these two DoFs is therefore of great clinical and commercial interest. This study investigates whether control performance can be improved by targeting wrist rotator muscles by means of intramuscular EMG. Nine able-bodied subjects were evaluated using offline metrics and during a real-time control task. Two intramuscular (targeted) and four surface EMG channels were recorded concurrently from the right forearm. The control was derived either from the four surface sources or by combining two surface channels combined with two intramuscular channels located in the pronator and supinator muscles (combined EMG). Five metrics (Throughput, Path efficiency, Average Speed, Overshoot and Completion Rate) were used to quantify real-time performance. A significant improvement of 20% in Throughput was obtained with combined EMG (0.90 ± 0.12 bit/s) compared to surface EMG alone (0.75 ± 0.10 bit/s). Furthermore, combined EMG performed significantly better than surface EMG in terms of Overshoot, Path Efficiency and offline classification error. No significant difference was found for Completion Rate and Average Speed. The results obtained in this study imply that targeting muscles that are involved in the rotation of the forearm could improve the performance of myoelectric control systems that include both wrist rotation and opening/closing of a terminal device. Keywords: Fitts’ Law test, targeted EMG, pattern recognition, intramuscular EMG, real-time control, wrist rotator
dc.description.copyright© This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.identifier.urihttps://unbscholar.lib.unb.ca/handle/1882/37609
dc.language.isoen
dc.publisherElsevier
dc.relationDanish Agency for Science, Technology and Innovation
dc.relationNatural Sciences and Engineering Research Council of Canada
dc.relation.hasversionhttps://doi.org/10.1016/j.bspc.2014.01.007
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subject.disciplineElectrical and Computer Engineering
dc.titleCombined surface and intramuscular EMG for improved real-time myoelectric control performance
dc.typejournal article
oaire.citation.endPage107
oaire.citation.startPage102
oaire.citation.titleBiomedical Signal Processing and Control
oaire.citation.volume10
oaire.license.conditionhttp://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aa

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