| "Clustering Index method": A new technique for differentiation between neurogenic and myopathic changes using surface EMG. | |
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MedLine Citation:
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PMID: 20869308 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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OBJECTIVE: To establish a non-invasive and quantitative analysis method using single-channel surface EMG (SEMG) for diagnosing neurogenic and myopathic changes. METHODS: The subjects consisted of 66 healthy controls, 12 patients with neurogenic diseases, and 18 patients with myopathic diseases. The tibialis anterior muscle was examined using a belly to the adjacent bone lead. From each subject, 20-40 signals of 1s length were collected of various strengths. A new parameter, the "Clustering Index (CI)", was developed to quantify the uneven distribution of the SEMG signal, and was plotted against the SEMG area. The results were expressed as the Z-score of each subject calculated using linear regression from the normative data. RESULTS: When ±2.5 was used as the cut-off value of the Z-score, the specificity was 95%, whereas the sensitivity was 92% (11/12) and 61% (11/18) for the neurogenic and myopathic patients, respectively. There was no overlap of the Z-score values between the neurogenic and myopathic groups. CONCLUSIONS: The CI method achieved a reasonably high diagnostic yield in detecting neurogenic or myopathic changes. SIGNIFICANCE: This is a new simple and quantitative analysis method using SEMG with good reproducibility, and is promising as a non-invasive complement to needle EMG. |
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Authors:
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Haruo Uesugi; Masahiro Sonoo; Erik Stålberg; Kohji Matsumoto; Mana Higashihara; Hideharu Murashima; Yoshikazu Ugawa; Yu Nagashima; Teruo Shimizu; Hisatoshi Saito; Ichiro Kanazawa |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Volume: 122 ISSN: 1872-8952 ISO Abbreviation: Clin Neurophysiol Publication Date: 2011 May |
Date Detail:
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Created Date: 2011-03-28 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 100883319 Medline TA: Clin Neurophysiol Country: Netherlands |
Other Details:
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Languages: eng Pagination: 1032-41 Citation Subset: IM |
Copyright Information:
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Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved. |
Affiliation:
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Department of Neurology, Graduate School of Medicine, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, Japan; Department of Neurology, Sapporo Azabu Neurosurgery Hospital, Sapporo, Japan. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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