Development of a filtering algorithm to demodulate electromyogram signal of essential tremor patients

Yuya Matsumoto, Yasutaka Nakashima, Masatoshi Seki, Takeshi Ando, Yo Kobayashi, Masakatsu G. Fujie, Hiroshi Iijima, Masanori Nagaoka

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

抄録

Essential tremor is a disorder that causes involuntary oscillations in patients both while they are engaged in actions and when maintaining a posture. Such patients face serious difficulties in performing such daily living activities as eating, drinking, and writing. We have been developing an electromyogram (EMG)-controlled exoskeleton to suppress tremors and to support the movements of these patients. In this paper, we proposed a novel signal processing method to demodulate the patients' EMG signal, which contains the voluntary movement signal and the tremor noise. This is a real-time signal processing method for multiple types of noise. From a technical point of view, this processing is essential because, at present, there are no real-time methods addressing the multiple noise sources. Also, from an application point of view, this method is essential for the accurate control of the exoskeleton depending on the patients' voluntary movement intention. We confirmed that the proposed method showed feasibility to demodulate the EMG signal which is modulated by the tremor signal.

本文言語英語
ホスト出版物のタイトルWorld Automation Congress Proceedings
出版社IEEE Computer Society
ページ567-572
ページ数6
ISBN(電子版)9781889335490
DOI
出版ステータス出版済み - 10月 24 2014
外部発表はい
イベント2014 World Automation Congress, WAC 2014 - Waikoloa, 米国
継続期間: 8月 3 20148月 7 2014

出版物シリーズ

名前World Automation Congress Proceedings
ISSN(印刷版)2154-4824
ISSN(電子版)2154-4832

その他

その他2014 World Automation Congress, WAC 2014
国/地域米国
CityWaikoloa
Period8/3/148/7/14

!!!All Science Journal Classification (ASJC) codes

  • 制御およびシステム工学

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