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新型基于负重转移的机器人控制系统在平衡训练中的腿部肌肉活动和关节运动。

Leg Muscle Activity and Joint Motion during Balance Exercise Using a Newly Developed Weight-Shifting-Based Robot Control System.

机构信息

Department of Mechanical Engineering, Faculty of Engineering, University of Miyazaki, Miyazaki 889-2192, Japan.

Department of Medicine of Sensory and Motor Organs, Division of Orthopedic Surgery, Faculty of Medicine, University of Miyazaki, Miyazaki 889-1601, Japan.

出版信息

Int J Environ Res Public Health. 2023 Jan 4;20(2):915. doi: 10.3390/ijerph20020915.

DOI:10.3390/ijerph20020915
PMID:36673671
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9859377/
Abstract

A novel and fun exercise robot (LOCOBOT) was developed to improve balance ability. This system can control a spherical robot on a floor by changing the center of pressure (COP) based on weight-shifting on a board. The present study evaluated leg muscle activity and joint motion during LOCOBOT exercise and compared the muscle activity with walking and sit-to-stand movement. This study included 10 healthy male adults (age: 23.0 ± 0.9 years) and examined basic LOCOBOT exercises (front-back, left-right, 8-turn, and bowling). Electromyography during each exercise recorded 13 right leg muscle activities. Muscle activity was represented as the percentage maximal voluntary isometric contraction (%MVIC). Additionally, the joint motion was simultaneously measured using an optical motion capture system. The mean %MVIC differed among LOCOBOT exercises, especially in ankle joint muscles. The ankle joint was primarily used for robot control. The mean %MVIC of the 8-turn exercise was equivalent to that of walking in the tibialis anterior, and the ankle plantar flexors were significantly higher than those in the sit-to-stand motion. Participants control the robot by ankle strategy. This robot exercise can efficiently train the ankle joint muscles, which would improve ankle joint stability.

摘要

一种新颖有趣的运动机器人(LOCOBOT)被开发出来以提高平衡能力。该系统可以通过在板上改变重心(COP)来控制在地板上的球形机器人,从而实现这一功能。本研究评估了 LOCOBOT 运动期间腿部肌肉活动和关节运动,并将肌肉活动与行走和坐立站起运动进行了比较。本研究纳入了 10 名健康男性成年人(年龄:23.0 ± 0.9 岁),并检查了 LOCOBOT 的基本运动(前后、左右、8 字和保龄球)。在每个运动中记录了 13 个右腿肌肉的肌电图。肌肉活动以最大随意等长收缩百分比(%MVIC)表示。此外,关节运动也同时使用光学运动捕捉系统进行测量。LOCOBOT 运动之间的平均%MVIC 不同,尤其是在踝关节肌肉中。踝关节主要用于机器人控制。8 字运动的平均%MVIC 与行走时的胫骨前肌相当,而踝关节跖屈肌的比坐立站起运动时显著更高。参与者通过踝关节策略控制机器人。这种机器人运动可以有效地训练踝关节肌肉,从而提高踝关节稳定性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e041/9859377/8aceeb3476a7/ijerph-20-00915-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e041/9859377/36743ceef30e/ijerph-20-00915-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e041/9859377/8aceeb3476a7/ijerph-20-00915-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e041/9859377/36743ceef30e/ijerph-20-00915-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e041/9859377/8aceeb3476a7/ijerph-20-00915-g002.jpg

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