J-5-1-439 遺伝的アルゴリズムを用いた身体負荷を最小とする椅子からの立ち上がり動作の生成(J-5-1:生体負荷(一般発表:その定量化からリハビリまで),領域5:ヒューマン・スポーツ・バイオ工学,総合テーマ「海を越え,国を越え,世代を超えて!」)

  • 高井 飛鳥
    大阪府立大学大学院工学研究科機械系専攻機械工学分野
  • 中川 智皓
    大阪府立大学大学院工学研究科機械系専攻機械工学分野
  • 新谷 篤彦
    大阪府立大学大学院工学研究科機械系専攻機械工学分野
  • 伊藤 智博
    大阪府立大学大学院工学研究科機械系専攻機械工学分野

書誌事項

タイトル別名
  • J-5-1-439 Minimization of Body Loads during Sit-to-Stand Movement by Continuous Genetic Algorithm

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抄録

Sit-to-stand (STS) rehabilitation equipment traditionally simulates natural movements of unspecified healthy people. This type of movement may not place the lowest load on a patient's body. These factors let us to develop a novel and widely applicable system for rehabilitation purposes that suggests a motion that places low body loads at the lower limb joints. This paper describes the core computation in the system that calculates a STS movement that places a minimum body load by using continuous genetic algorithm. The minimization process starts from measurement of kinematic and kinetic data, and then estimation and evaluation of the body load are followed. The body load which is minimized during STS movement was quantified by an index value. The index value strongly correlates with the chair height. Decreasing the value of this index by changing the movement during STS transfer could reduce the impact on the body, which is the same amount of load placed on the body while standing up from a higher chair height. A modified STS movement that can minimize the body load could be a personalized optimum movement allowing users to conduct rehabilitation with lesser unnecessary body load.

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詳細情報 詳細情報について

  • CRID
    1572543027757823488
  • NII論文ID
    110009979853
  • NII書誌ID
    AA11901770
  • ISSN
    13480235
  • 本文言語コード
    ja
  • データソース種別
    • CiNii Articles

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