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Latent feature evaluation of muscle fatigue based on scale mixture stochastic model and its application to adaptive control of myoelectric prosthetic hand

Research Project

Project/Area Number 20K14698
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 20020:Robotics and intelligent system-related
Research InstitutionHiroshima University

Principal Investigator

Furui Akira  広島大学, 先進理工系科学研究科(工), 助教 (30868237)

Project Period (FY) 2020-04-01 – 2023-03-31
Project Status Completed (Fiscal Year 2022)
Budget Amount *help
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2022: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2021: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2020: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
Keywords筋電位信号 / 生体信号 / 機械学習 / 確率モデル / 筋疲労 / 逐次学習 / 筋電義手 / 生体信号解析 / パターン認識 / ベイズ学習 / 筋疲労評価 / 動作識別
Outline of Research at the Start

上肢切断患者の機能を補う手段として,筋電位信号を利用して制御可能な筋電義手が注目されている.筋電義手は操作者の動作を機械学習的に識別することで多動作の実現が可能だが,長時間の使用に伴う筋疲労の影響で動作識別精度が低下する問題が存在した.
本研究では,筋電位信号の確率的生成モデルに基づき,筋疲労に伴う生理的プロセスの変化を潜在空間上の分布遷移としてモデル化し,筋疲労の非侵襲評価法を構築する.そして,この方法論を内包した適応的動作識別法を提案するとともに,提案法を筋電義手システムへと導入することで筋疲労に対してロバストな制御を実現する.

Outline of Final Research Achievements

This study developed a methodology for inferring the latent state of electromyogram (EMG) signals during muscle fatigue using a stochastic model based on scale-mixture representation. Secondarily, we showed that this methodology can be applied to biological signals other than EMG signals, such as electroencephalography (EEG). We also extended the model and proposed an EMG pattern classifier that can account for uncertainty during muscle activity and an adaptive motion recognition method based on Bayesian sequential learning. Furthermore, we developed a myoelectric prosthetic hand that can realize biomimetic movements by introducing the proposed classifiers into a prosthetic hand control system.

Academic Significance and Societal Importance of the Research Achievements

本研究成果の学術的意義は,筋電位信号の時系列データに含まれる潜在的特徴を推定可能な,新たな確率モデリングの枠組みを提案している点である.これに加え,モデルをパターン分類法へと展開し,筋疲労に対して頑健な動作認識に応用したことも,本研究の貢献として挙げられる.
筋電位信号などの生体信号から,ヒトの動作意図や異常の兆候といった内在的な情報を推定することができれば,より直感的かつ自然に操作可能なヒューマンマシンインタフェースに繋げることができる.本研究は,そのような技術を実現する上で考慮しなければならない「筋疲労」という現象の対処に焦点を当てたものであり,この点に本研究成果の社会的意義がある.

Report

(4 results)
  • 2022 Annual Research Report   Final Research Report ( PDF )
  • 2021 Research-status Report
  • 2020 Research-status Report
  • Research Products

    (17 results)

All 2023 2022 2021 2020 Other

All Journal Article (4 results) (of which Peer Reviewed: 4 results,  Open Access: 1 results) Presentation (11 results) (of which Int'l Joint Research: 5 results,  Invited: 1 results) Remarks (1 results) Patent(Industrial Property Rights) (1 results)

  • [Journal Article] Beat-to-beat Estimation of Peripheral Arterial Stiffness from Local PWV for Quantitative Evaluation of Sympathetic Nervous System Activity2022

    • Author(s)
      Ziqiang Xu, Toshiki Sakagawa, Akira Furui, Shumma Jomyo, Masanori Morita, Masamichi Ando, and Toshio Tsuji
    • Journal Title

      IEEE Transactions on Biomedical Engineering

      Volume: - Issue: 9 Pages: 2806-2816

    • DOI

      10.1109/tbme.2022.3154398

    • Related Report
      2022 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Sleep EEG Analysis Based on a Scale Mixture Model and its Application to Sleep Spindle Detection2022

    • Author(s)
      Miyari Hatamoto, Akira Furui, Keiko Ogawa, and Toshio Tsuji
    • Journal Title

      Proceedings of the 2022 IEEE/SICE International Symposium on System Integration (SII2022)

      Volume: - Pages: 887-892

    • DOI

      10.1109/sii52469.2022.9708856

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] EMG pattern recognition via Bayesian inference with scale mixture-based stochastic generative models2021

    • Author(s)
      Furui Akira, Igaue Takuya, Tsuji Toshio
    • Journal Title

      Expert Systems with Applications

      Volume: 185 Pages: 115644-115644

    • DOI

      10.1016/j.eswa.2021.115644

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Journal Article] A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection2021

    • Author(s)
      Furui Akira, Akiyama Tomoyuki, Tsuji Toshio
    • Journal Title

      Proceedings of 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

      Volume: - Pages: 5832-5836

    • DOI

      10.1109/embc46164.2021.9630840

    • Related Report
      2021 Research-status Report
    • Peer Reviewed
  • [Presentation] Evaluating Classifier Confidence for Surface EMG Pattern Recognition2023

    • Author(s)
      Akira Furui
    • Organizer
      45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)
    • Related Report
      2022 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 振戦を再現可能な筋電義手の開発と生体模倣性の評価2022

    • Author(s)
      熊谷 遼, 古居 彬, 城明 舜磨, 阪井浩人, 辻 敏夫
    • Organizer
      2022年電気学会電子・情報・システム部門大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 生体電気信号の尺度混合確率モデルとパターン認識への応用2022

    • Author(s)
      古居 彬
    • Organizer
      2022年電気学会電子・情報・システム部門大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] 脳波の尺度混合モデルに基づく感情価の解読2022

    • Author(s)
      福田 隼也, 古居 彬, 熊谷 遼, 阪井 浩人, 町澤 まろ, 辻 敏夫
    • Organizer
      2022年電気学会電子・情報・システム部門大会
    • Related Report
      2022 Annual Research Report
  • [Presentation] ベイズ逐次学習に基づく筋電位パターンの適応的分類2022

    • Author(s)
      米田 清太朗, 古居 彬
    • Organizer
      第23回計測自動制御学会システムインテグレーション部門講演会(SI2022)
    • Related Report
      2022 Annual Research Report
  • [Presentation] Sleep EEG Analysis Based on a Scale Mixture Model and its Application to Sleep Spindle Detection2022

    • Author(s)
      Miyari Hatamoto, Akira Furui, Keiko Ogawa, and Toshio Tsuji
    • Organizer
      2022 IEEE/SICE International Symposium on System Integration (SII2022)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] 表面筋電位信号のベイズ確率モデルと動作パターン識別2021

    • Author(s)
      古居 彬,辻 敏夫
    • Organizer
      第60回日本生体医工学会大会
    • Related Report
      2021 Research-status Report
  • [Presentation] 振幅の確率的変動に着目した非ガウス脳波モデルとてんかん発作自動検出への応用2021

    • Author(s)
      古居 彬, 秋山 倫之, 辻 敏夫
    • Organizer
      第51回日本臨床神経生理学会学術大会 シンポジウム
    • Related Report
      2021 Research-status Report
    • Invited
  • [Presentation] A Time-Series Scale Mixture Model of EEG with a Hidden Markov Structure for Epileptic Seizure Detection2021

    • Author(s)
      Akira Furui, Tomoyuki Akiyama, and Toshio Tsuji
    • Organizer
      43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’21)
    • Related Report
      2021 Research-status Report
    • Int'l Joint Research
  • [Presentation] Biomimetic Control of Myoelectric Prosthetic Hand Based on a Lambda-type Muscle Model2021

    • Author(s)
      Akira Furui, Kosuke Nakagaki, and Toshio Tsuji
    • Organizer
      2021 IEEE International Conference on Robotics and Automation (ICRA2021)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Presentation] Does the variance of surface EMG signals during isometric contractions follow an inverse gamma distribution?2020

    • Author(s)
      Akira Furui and Toshio Tsuji
    • Organizer
      42nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'20)
    • Related Report
      2020 Research-status Report
    • Int'l Joint Research
  • [Remarks] 研究者個人webページ

    • URL

      https://petitstella.github.io/publications/

    • Related Report
      2020 Research-status Report
  • [Patent(Industrial Property Rights)] 操作装置、および、操作推定方法2020

    • Inventor(s)
      辻敏夫, 古居彬, 城明舜磨, 角田知己, 松本龍彦
    • Industrial Property Rights Holder
      辻敏夫, 古居彬, 城明舜磨, 角田知己, 松本龍彦
    • Industrial Property Rights Type
      特許
    • Filing Date
      2020
    • Related Report
      2020 Research-status Report

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Published: 2020-04-28   Modified: 2024-01-30  

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