Design of Myoelectric Control Command of Electric Wheelchair as Personal Mobility for Disabled Person

I. Wayan Nudra Bajantika Pradivta, Achmad Arifin, Fauzan Arrofiqi, Takashi Watanabe

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

Paralysis is a condition that causes the sufferer to be unable to move the leg muscles or hand muscles. However, a paralyzed subject can still use the electrical activity of other intact muscles as a control command for the electric wheelchair. This system includes instrumentation and processing of electromyography (EMG) signal, and interpretation for controlling the wheelchair to move forward, backward, stop, turn left, and turn right. The EMG signal of the Flexor Carpi Radialis muscles was measured and amplified by a designed instrumentation amplifier. Then, the signal was filtered to eliminate noise and maintain the EMG frequency range of 20500 Hz. After filtering, the signal was processed more to produce a linear envelope and hold the maximum value of the envelope of the EMG signal. Interpretation of command from subject was determined by thresholing method to the envelope of the EMG signal. The results of wheelchair navigation with basic movements had an average success rate of 100% of 8 subjects. The test results past the determined track have an average success rate of 95.83% for 3 subjects. It is expected that in the future, the subjects can use the wheelchair with subject's intention speed.

本文言語English
ホスト出版物のタイトル2019 International Biomedical Instrumentation and Technology Conference, IBITeC 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ112-117
ページ数6
ISBN(電子版)9781728133393
DOI
出版ステータスPublished - 2019 10
イベント2019 International Biomedical Instrumentation and Technology Conference, IBITeC 2019 - Special Region of Yogyakarta, Indonesia
継続期間: 2019 10 232019 10 24

出版物シリーズ

名前2019 International Biomedical Instrumentation and Technology Conference, IBITeC 2019

Conference

Conference2019 International Biomedical Instrumentation and Technology Conference, IBITeC 2019
国/地域Indonesia
CitySpecial Region of Yogyakarta
Period19/10/2319/10/24

ASJC Scopus subject areas

  • コンピュータ ビジョンおよびパターン認識
  • 生体医工学
  • 器械工学

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