Development of an Upper Limb Rehabilitation Method Based on the Preferred Direction of Muscle: Support and Quantification by Robotics

• Project/Area Number: 26702023
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Rehabilitation science/Welfare engineering
• Research Institution: Seikei University (2016); National Rehabilitation Center for Persons with Disabilities (2014-2015)
• Principal Investigator: Ueyama Yuki 成蹊大学, 理工学部, 助教 (30710800)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Project Status: Completed (Fiscal Year 2016)
• Budget Amount: ¥23,920,000 (Direct Cost: ¥18,400,000、Indirect Cost: ¥5,520,000); Fiscal Year 2016: ¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000); Fiscal Year 2015: ¥7,410,000 (Direct Cost: ¥5,700,000、Indirect Cost: ¥1,710,000); Fiscal Year 2014: ¥11,830,000 (Direct Cost: ¥9,100,000、Indirect Cost: ¥2,730,000)
• Keywords: ロボティクス / リハビリテーション / 生体工学 / 神経科学 / 筋肉生理 / 至適方向 / 作業療法 / 脳卒中片麻痺 / 知能ロボティックス / 生物・生体工学 / 生理学 / 運動制御

Outline of Final Research Achievements

The objective of this study was to construct a robotic rehabilitation method to restore motor function in stroke survivors. Thus, a motor dysfunction model that considered the musculoskeletal system of individuals with hemiplegia was developed. This model was used to create a rehabilitation method based on the preferred direction of muscle, and a robotic system was constructed to execute a protocol applying it to restore upper limb motor function.

Research Products

• [Journal Article] System identification of neural mechanisms from trial-by-trial motor behaviour: modelling of learning, impairment and recovery (2017)
  • Author(s): Yuki Ueyama
  • Journal Title: Advanced Robotics Volume: 31(3) Issue: 3 Pages: 107-117
  • DOI: 10.1080/01691864.2016.1266966
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] Optimal feedback control to describe multiple representations of primary motor cortex neurons (2017)
  • Author(s): Yuki Ueyama
  • Journal Title: Journal of Computational Neuroscience Volume: 印刷中 Issue: 1 Pages: 93-106
  • DOI: 10.1007/s10827-017-0650-z
  • Peer Reviewed / Acknowledgement Compliant
• [Journal Article] リハビリテーションを計算理論で理解する (2016)
  • Author(s): 植山祐樹
  • Journal Title: 地域ケアリング Volume: 18(4) Pages: 94-98
  • Acknowledgement Compliant
• [Journal Article] A Bayesian Model of the Uncanny Valley Effects for Explaining the Effects of Therapeutic Robots in Autism Spectrum Disorder (2015)
  • Author(s): Ueyama Y.
  • Journal Title: PLoS ONE Volume: 10(9):e0138642 Issue: 9 Pages: 1-12
  • DOI: 10.1371/journal.pone.0138642
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Journal Article] リハビリテーションの計算理論 (2015)
  • Author(s): 植山祐樹
  • Journal Title: Bio Clinica Volume: 30(12) Pages: 96-100
  • Acknowledgement Compliant
• [Journal Article] Mini-max feedback control as a computational theory of sensorimotor control in the presence of structural uncertainty (2014)
  • Author(s): Ueyama Y
  • Journal Title: Frontiers in Computational Neuroscience Volume: 8:119 Pages: 1-12
  • DOI: 10.3389/fncom.2014.00119
  • Peer Reviewed / Open Access / Acknowledgement Compliant
• [Presentation] A Model of Motor Impairment after Stroke for Predicting Muscle Activation Patterns (2015)
  • Author(s): Ueyama Y.
  • Organizer: The 22nd International Conference on Neural Information Processing
  • Place of Presentation: Istanbul
  • Year and Date: 2015-11-09
  • Int'l Joint Research
• [Presentation] A Computational Model of Anti-Bayesian Sensory Integration in the Size-Weight Illusion (2014)
  • Author(s): Ueyama Y
  • Organizer: The 21st International Conference on Neural Information Processing (ICONIP2014)
  • Place of Presentation: Kuching (Malaysia)
  • Year and Date: 2014-11-03 – 2014-11-06
• [Presentation] Optimal feedback gain indicating the preferred direction (2014)
  • Author(s): Ueyama Y
  • Organizer: 第37回日本神経科学大会
  • Place of Presentation: パシフィコ横浜、横浜
  • Year and Date: 2014-09-11 – 2014-09-13
• [Presentation] A Computational Study of Robotic Therapy for Stroke Rehabilitation Based on Population Coding (2014)
  • Author(s): Ueyama Y
  • Organizer: The 2014 International Conference on Brain Informatics and Health (BIH2014)
  • Place of Presentation: Warsaw (Poland)
  • Year and Date: 2014-08-11 – 2014-08-14