2013 Fiscal Year Final Research Report
Development and Clinical application of the Clustering Index method, a new quantitative analysis of surface EMG
| Project/Area Number |
23591285
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Neurology
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| Research Institution | Teikyo University |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
HIGASHIHARA Mana 東京都健康長寿医療センター, 神経内科, 医師 (20622476)
KUROKAWA Katsumi 川崎医科大学, 医学部神経内科, 准教授 (20289177)
HATANAKA Yuki 帝京大学, 医学部神経内科, 助教 (40322458)
OGAWA Go 帝京大学, 医学部神経内科, 助教 (50632311)
HOKKOKU Keiichi 帝京大学, 医学部神経内科, 助手 (80623355)
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| Project Period (FY) |
2011 – 2013
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| Keywords | 表面筋電図 / 針筋電図 / 神経筋疾患 / 小児 / 定量解析 |
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| Research Abstract |
Needle EMG is widely used as a diagnostic measure of neuromuscular disorders, although significant pain is its definite drawback. We developed a quantitative analysis of the surface EMG (SEMG), Clustering Index (CI) method, which can differentiate between neurogenic and myopathic changes by a non-invasive single-channel SEMG recording. In this study, we refined parameters of the CI method that can achieve best diagnostic yield. Furthermore, we examined 27 children having neuromuscular disorders and found that CI method had moderate diagnostic power even for such pediatric patients. We also experienced a patient who had been long diagnosed as muscular dystrophy, although SEMG of the trapezius muscle revealed a neurogenic change, which lead to documentation of the spinal muscular atrophy by gene analysis. SEMG using CI method is a promising non-invasive measure to evaluate neuromuscular disorders.
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Research Products
(15 results)
