| A novel signal processing method using system identification for underwater surface electromyography. | |
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MedLine Citation:
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PMID: 19400405 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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PURPOSE: Currently, to record underwater surface electromyography (EMG), electrodes are covered with waterproof tape. For short-term measurement, waterproof tape prevents electrical leakage. However, during long-term measurement, water or sweat can contact the electrodes, changing the measurement conditions and gradually affecting the EMG data. The purpose of present study was to devise a novel method for prolonged underwater EMG recording, which estimate dry-land EMG from underwater EMG recorded by non-waterproofed electrodes using system identification techniques. METHOD: One healthy male participated in this study. System identification was used to convert underwater EMG signals to the estimated dry-land signals. Transfer functions were derived using two pairs of surface recording electrodes on the same muscle in parallel. System input was the EMG recorded using non-waterproofed electrodes; the output was the signal recorded underwater using waterproofed electrodes (supposed to be the same as dry-land signals). To examine the validity of the present method, three experiments were conducted. RESULT: There was a high positive correlation between the estimated dry-land EMG based on the non-waterproofed electrodes and the EMG obtained using waterproofed electrodes. To test the validity of long-term recording using the novel method, the estimated dry-land EMG signals were measured during 30 minutes of underwater stepping and were stable. CONCLUSION: The novel method using non-waterproofed electrodes with system identification techniques eliminated the effect of changes in measurement conditions and appears effective for long-term, underwater surface EMG recording. |
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Authors:
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S Uehara; Y Muraoka; S Tanabe; T Ota; A Kimura |
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Publication Detail:
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Type: Clinical Trial; Journal Article; Validation Studies |
Journal Detail:
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Title: Electromyography and clinical neurophysiology Volume: 49 ISSN: 0301-150X ISO Abbreviation: Electromyogr Clin Neurophysiol Publication Date: 2009 Mar-Apr |
Date Detail:
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Created Date: 2009-04-29 Completed Date: 2009-06-01 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0327533 Medline TA: Electromyogr Clin Neurophysiol Country: Belgium |
Other Details:
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Languages: eng Pagination: 103-8 Citation Subset: IM |
Affiliation:
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Keio University Tsukigase Rehabilitation Center, Izu, Shizuoka, Japan. uehara@ktrc.med.keio.ac.jp |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Adult Electrodes / standards* Electromyography / instrumentation*, standards* Exercise Humans Male Reproducibility of Results Signal Processing, Computer-Assisted / instrumentation* Sweating Water* |
| Chemical | |
Reg. No./Substance:
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7732-18-5/Water |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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