Toward EEG control of upper limb power-assist exoskeletons: A preliminary study of decoding elbow joint velocities using EEG signals

Thilina Dulantha Lalitharatne, Akihiro Yoshino, Yoshikai Hayashi, Kenbu Teramoto, Kazuo Kiguchi

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

6 引用 (Scopus)

抜粋

It may not an easy task for physically weak elderly, disabled and injured individuals to perform the day to day activities in their life. Therefore, many assistive devices have been developed in order to improve the quality of life of those people in which they may not depend on others. Especially upper-limb power-assist exoskeletons have been developed since the upper limb motions are very important for the daily activities. Electromyography (EMG) signals and/or force sensor based control methods have been identified as the promising methods to control such exoskeleton devices. However, if the user cannot generate sufficient muscle signals or movements, the EMG or force sensor based methods could not be useful to the user. On the other hand, electroencephalography (EEG) signals are also important biological signals to extract the user's motion intention. In this study, the user's elbow joint motion is estimated based on the EEG signals. The measured EEG signals are pre-processed and input to a time-embedded linear model, which is assumed to decode the elbow joint angular velocities. The genetic algorithm (GA) is used to train the model. A six fold cross validation process was performed for each motion segment of each subject. The experimental results suggest that EEG signals with the tested decoding model can be used to continuously decode the elbow joint velocity.

元の言語英語
ホスト出版物のタイトル2012 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2012
ページ421-424
ページ数4
DOI
出版物ステータス出版済み - 12 1 2012
イベント23rd Annual Symposium on Micro-Nano Mechatronics and Human Science, MHS 2012 - Nagoya, 日本
継続期間: 11 4 201211 7 2012

出版物シリーズ

名前2012 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2012

その他

その他23rd Annual Symposium on Micro-Nano Mechatronics and Human Science, MHS 2012
日本
Nagoya
期間11/4/1211/7/12

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • これを引用

    Lalitharatne, T. D., Yoshino, A., Hayashi, Y., Teramoto, K., & Kiguchi, K. (2012). Toward EEG control of upper limb power-assist exoskeletons: A preliminary study of decoding elbow joint velocities using EEG signals. : 2012 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2012 (pp. 421-424). [6492482] (2012 International Symposium on Micro-NanoMechatronics and Human Science, MHS 2012). https://doi.org/10.1109/MHS.2012.6492482