首页> 外文期刊>International journal of rehabilitation research: Internationale Zeitschrift fur Rehabilitationsforschungon >Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants: a study focusing on muscle activities.
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Influence of complementing a robotic upper limb rehabilitation system with video games on the engagement of the participants: a study focusing on muscle activities.

机译:用视频游戏补充机器人上肢康复系统对参与者参与度的影响:一项针对肌肉活动的研究。

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Efficacious stroke rehabilitation depends not only on patients' medical treatment but also on their motivation and engagement during rehabilitation exercises. Although traditional rehabilitation exercises are often mundane, technology-assisted upper-limb robotic training can provide engaging and task-oriented training in a natural environment. The factors that influence engagement, however, are not fully understood. This paper therefore studies the relationship between engagement and muscle activities as well as the influencing factors of engagement. To this end, an experiment was conducted using a robotic upper limb rehabilitation system with healthy individuals in three training exercises: (a) a traditional exercise, which is typically used for training the grasping function, (b) a tracking exercise, currently used in robot-assisted stroke patient rehabilitation for fine motor movement, and (c) a video game exercise, which is a proliferating approach of robot-assisted rehabilitation enabling high-level active engagement of stroke patients. These exercises differ not only in the characteristics of the motion that they use but also in their method of triggering engagement. To measure the level of engagement, we used facial expressions, motion analysis of the arm movements, and electromyography. The results show that (a) the video game exercise could engage the participants for a longer period than the other two exercises, (b) the engagement level decreased when the participants became too familiar with the exercises, and (c) analysis of normalized root mean square in electromyographic data indicated that muscle activities were more intense when the participants are engaged. This study shows that several sub-factors on engagement, such as versatility of feedback, cognitive tasks, and competitiveness, may influence engagement more than the others. To maintain a high level of engagement, the rehabilitation system needs to be adaptive, providing different exercises to engage the participants.
机译:有效的中风康复不仅取决于患者的药物治疗,还取决于他们在康复运动中的动力和参与度。尽管传统的康复锻炼通常很平凡,但是技术辅助的上肢机器人训练可以在自然环境中提供引人入胜且面向任务的训练。但是,影响敬业度的因素尚不完全清楚。因此,本文研究了参与度与肌肉活动之间的关系以及参与度的影响因素。为此,我们使用机器人上肢康复系统对健康个体进行了三项训练,以进行以下实验:(a)传统训练,通常用于训练抓握功能;(b)追踪训练,目前用于机器人辅助的中风患者康复以实现精细运动,以及(c)电子游戏锻炼,这是机器人辅助的康复方法的广泛应用,能够使卒中患者高水平地积极参与。这些练习不仅在使用的动作特征上有所不同,而且在触发参与的方法上也有所不同。为了测量参与度,我们使用了面部表情,手臂运动的运动分析和肌电图。结果表明:(a)电子游戏练习比其他两个练习可以使参与者参与更长的时间;(b)当参与者过于熟悉练习时,参与程度会降低;(c)归一化根源分析肌电图数据的均方表明,参与者参与锻炼后,肌肉活动更加剧烈。这项研究表明,参与度的几个子因素,例如反馈的多功能性,认知任务和竞争力,可能比其他因素对参与度的影响更大。为了保持较高的参与度,康复系统需要适应性强,提供不同的练习来吸引参与者。

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