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Increasing the use of paralyzed arm by rehabilitation system based on the 3 dimensional motor recovery model

Research Project

Project/Area Number 16H03200
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Research Field Rehabilitation science/Welfare engineering
Research InstitutionUniversity of Tsukuba

Principal Investigator

Izawa Jun  筑波大学, システム情報系, 准教授 (20582349)

Co-Investigator(Kenkyū-buntansha) 羽田 康司  筑波大学, 医学医療系, 教授 (80317700)
村田 弓  国立研究開発法人産業技術総合研究所, 情報・人間工学領域, 主任研究員 (80512178)
上野 友之  筑波大学, 医学医療系, 講師 (10390931)
大槻 麻衣  筑波大学, システム情報系, 助教 (30609095)
Project Period (FY) 2016-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥17,550,000 (Direct Cost: ¥13,500,000、Indirect Cost: ¥4,050,000)
Fiscal Year 2019: ¥2,210,000 (Direct Cost: ¥1,700,000、Indirect Cost: ¥510,000)
Fiscal Year 2018: ¥3,900,000 (Direct Cost: ¥3,000,000、Indirect Cost: ¥900,000)
Fiscal Year 2017: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
Fiscal Year 2016: ¥8,580,000 (Direct Cost: ¥6,600,000、Indirect Cost: ¥1,980,000)
Keywords計算論的神経リハビリテーション / 運動制御・学習 / 運動学習 / 計算論的運動制御 / 計算論的リハビリテーション / ロボットマニピュランダム / 機能回復 / 運動制御 / リハビリテーション / 計算論的神経科学 / 機能回復の計算理論 / 神経科学 / バーチャルリアリティ / 生体生命情報学 / 機械学習
Outline of Final Research Achievements

An impaired motor skill as a result of damage in the brain tends to be unchosen in daily life, which potentially causes a decrease of use of the impaired motor skill and thus yields learned non-use, in the end. Here, we proposed a computational model to explain this process and simulated it for a limb motor control and grasping. This model is composed of Hebb’s learning rule, internal model learning, and reinforcement learning, whereby we can capture the recovery process according to three independent axes. We also developed a robotic manipulandum, which may give an assistive force environment for people to identify how well the brain forms the requested motor skills.

Academic Significance and Societal Importance of the Research Achievements

本研究は運動学習の計算論の最近の成果に基づいて運動機能回復に計算論の観点から光をあて、数理的な理解と理論に基づいた制御を可能とするものである。複雑で理解することが難しい機能回復の問題を、運動学習の計算論の観点から整理することで、ロボットによるリハビリテーションへ応用可能な形式で整理する。これにより、工学における設計論の問題に帰着させることが可能になる。本期間内に、計算論の提案や健常被験者による検証実験を行った。また、リハビリテーションに係る各研究会において、計算論の重要性に関して講演を行った。

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Annual Research Report
  • 2017 Annual Research Report
  • 2016 Annual Research Report

Research Products

(13 results)

All 2020 2019 2018 2016 Other

All Int'l Joint Research (4 results) Journal Article (5 results) (of which Int'l Joint Research: 1 results,  Open Access: 4 results,  Peer Reviewed: 4 results,  Acknowledgement Compliant: 1 results) Presentation (2 results) (of which Int'l Joint Research: 1 results) Remarks (2 results)

  • [Int'l Joint Research] 南カリフォルニア大学(米国)

    • Related Report
      2019 Annual Research Report
  • [Int'l Joint Research] 南カリフォルニア大学(米国)

    • Related Report
      2018 Annual Research Report
  • [Int'l Joint Research] 南カリフォルニア大学(米国)

    • Related Report
      2017 Annual Research Report
  • [Int'l Joint Research] 南カリフォルニア大学(米国)

    • Related Report
      2016 Annual Research Report
  • [Journal Article] Computational Neurorehabilitation:Robotic Rehabilitation Aided by Computational Neuroscience2020

    • Author(s)
      Izawa Jun
    • Journal Title

      Jpn J Rehabil Med

      Volume: 57 Issue: 1 Pages: 56-63

    • DOI

      10.2490/jjrmc.57.56

    • ISSN
      1881-3526, 1881-8560
    • Related Report
      2019 Annual Research Report
    • Open Access
  • [Journal Article] Neuroanatomical Basis of Individuality in Muscle Tuning Function: Neural Correlates of Muscle Tuning2019

    • Author(s)
      Kahori Kita,Rieko Osu,Chihiro Hosoda,Manabu Honda,Takashi Hanakawa,Jun Izawa
    • Journal Title

      Frontiers in Behavioral Neuroscience

      Volume: 13:28 Pages: 00028-00028

    • DOI

      10.3389/fnbeh.2019.00028

    • NAID

      120007127915

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Sensory prediction errors, not performance errors, update memories in visuomotor adaptation2018

    • Author(s)
      Lee Kangwoo、Oh Youngmin、Izawa Jun、Schweighofer Nicolas
    • Journal Title

      Scientific Reports

      Volume: 8 Pages: 16483-16483

    • DOI

      10.1038/s41598-018-34598-y

    • NAID

      120007133479

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] Alpha Phase Synchronization of Parietal Areas Reflects Switch-Specific Activity During Mental Rotation: An EEG Study2018

    • Author(s)
      Yokoyama Hiroshi、Nambu Isao、Izawa Jun、Wada Yasuhiro
    • Journal Title

      Frontiers in Human Neuroscience

      Volume: 12

    • DOI

      10.3389/fnhum.2018.00259

    • NAID

      120007134011

    • Related Report
      2018 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] Computational motor control as a window to understanding schizophrenia2016

    • Author(s)
      J. Izawa, T. Asai and H. Imamizu
    • Journal Title

      Neuroscience Research

      Volume: 104 Pages: 44-51

    • DOI

      10.1016/j.neures.2015.11.004

    • Related Report
      2016 Annual Research Report
    • Peer Reviewed / Acknowledgement Compliant
  • [Presentation] Application of computational neuroscience to robotic rehabilitation: a conceptual study2018

    • Author(s)
      Izawa Jun
    • Organizer
      18 International Symposium on Micro-NanoMechatronics and Human Science (MHS)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] ロボットリハビリテーションの戦略に関する計算論的考察2016

    • Author(s)
      井澤淳 村田弓
    • Organizer
      計測自動制御学会 ライフエンジニアリング部門シンポジウム
    • Place of Presentation
      大阪府大阪市 大阪国際交流センター
    • Year and Date
      2016-11-16
    • Related Report
      2016 Annual Research Report
  • [Remarks] HEBB'S Lab

    • URL

      http://hebbs.emp.tsukuba.ac.jp/

    • Related Report
      2019 Annual Research Report 2018 Annual Research Report
  • [Remarks] MBR プロジェクト

    • URL

      http://izawa.emp.tsukuba.ac.jp/MBRProject.html

    • Related Report
      2017 Annual Research Report

URL: 

Published: 2016-04-21   Modified: 2021-02-19  

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