| The comparison of electromyographic pattern classifications with active and passive electrodes. | |
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MedLine Citation:
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PMID: 15271288 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Electromyographic (EMG) signals are usually acquired using surface electrodes, and they commonly serve as the control sources of myoelectric prosthetic limbs. The use of passive electrodes and amplifiers with adjustable gain is very popular in laboratories for the development of new control strategies. However, active electrodes without conductive jelly are used in most clinical applications of myoelectric hand control. There remains an important question: Are there any differences between using active and passive electrodes in EMG pattern classifications? Autoregressive and cepstral coefficients were used to evaluate recognition rates via both types of electrodes. The results showed that the estimated recognition rates in the passive electrodes were comparable to those in the active ones (averaged recognition rate, 88.5 vs. 85.84% in the autoregressive coefficients, and 84.84 vs. 83.5%, in the cepstral coefficients, respectively). Aside from the lack of significant statistical differences between them, the results imply that the differences between the recognition rates via these electrodes could be negligible. This would be helpful for the myoelectric control of assistive devices. |
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Authors:
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Ying-Han Chiou; Jer-Junn Luh; Shih-Ching Chen; Jin-Shin Lai; Te-Son Kuo |
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Publication Detail:
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Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: Medical engineering & physics Volume: 26 ISSN: 1350-4533 ISO Abbreviation: Med Eng Phys Publication Date: 2004 Sep |
Date Detail:
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Created Date: 2004-07-23 Completed Date: 2005-02-22 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 9422753 Medline TA: Med Eng Phys Country: England |
Other Details:
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Languages: eng Pagination: 605-10 Citation Subset: IM |
Affiliation:
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Department of Electrical Engineering, National Taiwan University, Taiwan, People's Republic of China. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Electrodes* Electromyography / methods*, statistics & numerical data Humans Models, Biological Movement / physiology Muscle Contraction / physiology Pattern Recognition, Automated Signal Processing, Computer-Assisted |
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