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Surface Electromyography and Force Study for Progressive Rehabilitation Training during Different Modes

机译:在不同模式下进行渐进式康复训练的表面肌电图和力研究

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In recent years, rehabilitation robot has received great attention. A large number of rehabilitation robots have been developed for gait training and walking assistance, but there are few applications for early rehabilitation after stroke. This paper presents a rehabilitation robot for progressive rehabilitation evaluated by surface electromyography (sEMG) and contact force signal. In order to make the trajectory planning of rehabilitation robot conform to the human bipedal walking, the structure design was based on multi-link. The rehabilitation robot can operate in three modes, each mode provides specific degree of assistance. When subjects doing rehabilitation training by the robot, sEMG from six lower limb muscles was collected to evaluate muscle activation. Meanwhile contact force between rehabilitation robot and subjects was also recorded for analysis. As assistance degree increased, lower limb activation and contact force decreased. It indicated different assistance demand of subjects in progressive treatment. For the rehabilitation robot, specific rehabilitation mode can be selected by subjects with different level dysfunction of lower extremities based on sEMG and contact force.
机译:近年来,康复机器人受到了极大的关注。已经开发出许多用于步态训练和步行辅助的康复机器人,但是很少有中风后早期康复的应用。本文介绍了一种通过表面肌电图(sEMG)和接触力信号评估的渐进式康复机器人。为了使康复机器人的轨迹规划与人的双足行走相适应,结构设计是基于多链接的。康复机器人可以在三种模式下运行,每种模式都提供特定程度的帮助。当受试者通过机器人进行康复训练时,会从六个下肢肌肉中收集sEMG,以评估肌肉的激活情况。同时,还记录了康复机器人与受试者之间的接触力以进行分析。随着辅助程度的提高,下肢的活动和接触力降低。这表明在逐步治疗中受试者的不同援助需求。对于康复机器人,可以根据sEMG和接触力,根据下肢功能障碍程度不同的受试者选择特定的康复模式。

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