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Evaluation of Involvement of Subjects in Rehabilitation Exercises using Physiological Signals

机译:使用生理信号评估受试者参与康复锻炼中的临床

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Active participation of patients in exercise is an important factor in maintaining rehabilitation programs. In this study, an adaptive algorithm called partially ordered set master (POSM), and a traditional algorithm (increment/decrement one level at a time) that change the difficulty levels of rehabilitation tasks adaptively for each individual have been evaluated. A small working group of 20 healthy subjects are asked to play a fruit- assisted rehabilitation system with the use of these two adaptive methods. The difficulty of the game is dynamically changed according to the performances (score) of the subjects with these two algorithms. The physiological signals, performance (score), and subjective reports (arousal/valence) are used to evaluate these two algorithms in terms of engaging the subjects.
机译:运动中的积极参与运动是维持康复计划的重要因素。在本研究中,评估了一种称为部分有序的设置主机(POSM)的自适应算法,以及传统算法(一次递增/递减一个电平),其已经评估了对每个单独的每个人改变康复任务的难度级别。要求一个小型工作组20个健康受试者使用这两个适应性方法使用水果辅助康复系统。根据具有这两个算法的主题的性能(得分),游戏的难度被动态地改变。生理信号,性能(得分)和主观报告(唤醒/价)用于在接合受试者方面评估这两个算法。

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