Design and Evaluation of a Training system to Increase Knee Extension Load during Walking

Zixi Gu, Mazoon Salim Al Maamari, Di Zhang, Yasuo Kawakami, Sarah Cosentino, Atsuo Takanishi

研究成果: Conference contribution

抄録

Prevention of mobility loss due to aging is critical to avoid or postpone the necessity for continuous care in late stages of life. In particular, knee extensors have a key role in maintaining balance and stabilizing gait. As loss of muscle strength in knee extensors jeopardize mobility abilities, continuous training of these muscles is fundamental. Walking is the most popular daily exercise. However, the training effects of simple walking are limited to lower leg muscles, leading to a progressive deterioration of knee extension muscles strength if not integrated with specific exercises targeting those muscles. Therefore, we are developing a training device to apply additional mechanical load on the knee during walking and extend the training effect of simple walking to knee extensors. The training device will be designed for maximum versatility using a compact oil damper with no need for electrical power. The specifications of the device will be determined using results from preliminary research on knee extensor muscle activity during walking, evaluated with an IMU (Inertial Measurement Unit) based measuring system. In this study, we designed a prototype of the device and evaluated its training effect on knee extensor muscle.

本文言語English
ホスト出版物のタイトルProceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1288-1293
ページ数6
ISBN(電子版)9781728116983
DOI
出版ステータスPublished - 2019 8
イベント16th IEEE International Conference on Mechatronics and Automation, ICMA 2019 - Tianjin, China
継続期間: 2019 8 42019 8 7

出版物シリーズ

名前Proceedings of 2019 IEEE International Conference on Mechatronics and Automation, ICMA 2019

Conference

Conference16th IEEE International Conference on Mechatronics and Automation, ICMA 2019
CountryChina
CityTianjin
Period19/8/419/8/7

ASJC Scopus subject areas

  • Signal Processing
  • Mechanical Engineering
  • Control and Optimization
  • Artificial Intelligence

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