Investigation of effective intensity of static stretching exercise based on spring-pot viscoelastic model: Intensity based on maximum tolerance joint torque affects viscoelastic ratio of muscle during static stretching

Naomi Okamura, Ritaro Kasai, Yo Kobayahsi, Shigeki Sugano, Masakatsu G. Fujie

研究成果: Conference contribution

抄録

Static stretching is typically performed as an easy method for reducing muscle tone in several fields of sports and rehabilitation. Stretching intensity is important for realizing effective static stretching. However, its instruction is ambiguous; therefore, people sometimes get injured owing to excessive intensity. To perform static stretching with appropriate intensity that results in positive effects, the intensity and effect of static stretching should be quantified. In this study, we investigated the relation between the stretching intensity based on the maximum tolerance joint torque and the change in the muscle viscoelasticity of forearm muscles based on the spring-pot viscoelastic model for evaluating the change in muscle condition during static stretching. We set the stretching intensity using a wrist joint torque adjusting device and measured the forearm muscle hardness using a palpation robot. The results showed that the muscle viscoelasticity decreased significantly during 1-min constant-angle stretching, and the amount of decrease was the largest for 60% of the maximum tolerance joint torque at the maximum joint angle. This suggests that the optimized stretching intensity can be derived from the joint torque measurement at the maximum joint angle.

本文言語English
ホスト出版物のタイトル2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ433-438
ページ数6
ISBN(電子版)9781538668689
DOI
出版ステータスPublished - 2019 1月 22
イベント2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018 - Kandima, Maldives
継続期間: 2018 8月 12018 8月 5

出版物シリーズ

名前2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018

Conference

Conference2018 IEEE International Conference on Real-Time Computing and Robotics, RCAR 2018
国/地域Maldives
CityKandima
Period18/8/118/8/5

ASJC Scopus subject areas

  • 人工知能
  • 制御と最適化

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