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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationWorld Automation Congress Proceedings
PublisherIEEE Computer Society
Pages567-572
Number of pages6
ISBN (Electronic)9781889335490
DOIs
Publication statusPublished - Oct 24 2014
Externally publishedYes
Event2014 World Automation Congress, WAC 2014 - Waikoloa, United States
Duration: Aug 3 2014Aug 7 2014

Publication series

NameWorld Automation Congress Proceedings
ISSN (Print)2154-4824
ISSN (Electronic)2154-4832

Other

Other2014 World Automation Congress, WAC 2014
CountryUnited States
CityWaikoloa
Period8/3/148/7/14

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

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