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Experimental Study on Upper-Limb Rehabilitation Training of Stroke Patients Based on Adaptive Task Level: A Preliminary Study

机译:基于适应性任务水平的中风患者上肢康复训练的实验研究:初步研究

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摘要

During robot-aided motion rehabilitation training, inappropriate difficulty of the training task usually leads the subject becoming bored or frustrated; therefore, the difficulty of the training task has an important influence on the effectiveness of training. In this study, an adaptive task level strategy is proposed to intelligently serve the subject with a task of suitable difficulty. To make the training task attractive and continuously stimulate the patient's training enthusiasm, diverse training tasks based on grabbing game with visual feedback are developed. Meanwhile, to further enhance training awareness and inculcate a sense of urgency, a dynamic score feedback method is used in the design of the training tasks. Two types of experiments, functional and clinical rehabilitation experiments, were performed with a healthy adult and two recruited stroke patients, respectively. The experimental results suggest that the proposed adaptive task level strategy and dynamic score feedback method are effective strategies with respect to incentive function and rehabilitation efficacy.
机译:在机器人辅助的运动康复训练中,不合适的训练任务难度通常会使受试者感到无聊或沮丧。因此,训练任务的难度对训练的有效性有重要影响。在这项研究中,提出了一种自适应任务级别策略,以智能地为具有适当难度任务的对象服务。为了使训练任务具有吸引力并持续激发患者的训练热情,开发了基于抓取游戏和视觉反馈的多样化训练任务。同时,为了进一步增强训练意识和灌输紧迫感,在训练任务的设计中采用了动态分数反馈法。分别对健康的成年人和两名招募的中风患者进行了两种类型的实验,即功能和临床康复实验。实验结果表明,所提出的自适应任务水平策略和动态评分反馈方法在激励功能和康复功效方面是有效的策略。

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