Document Detail

"Clustering Index method": A new technique for differentiation between neurogenic and myopathic changes using surface EMG.
MedLine Citation:
PMID:  20869308     Owner:  NLM     Status:  In-Data-Review    
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.
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:
Type:  Journal Article    
Journal Detail:
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:
Created Date:  2011-03-28     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  100883319     Medline TA:  Clin Neurophysiol     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  1032-41     Citation Subset:  IM    
Copyright Information:
Copyright © 2010 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. All rights reserved.
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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