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首页> 外文会议>Annual International Conference of the IEEE Engineering in Medicine and Biology Society >An analysis of physiological signals as a measure of task engagement in a multi-limb-coordination motor-learning task
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An analysis of physiological signals as a measure of task engagement in a multi-limb-coordination motor-learning task

机译：生理信号分析，作为多臂协调运动学习任务中任务投入的一种度量

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There is widespread agreement in the physical rehabilitation community that task engagement is essential to effective neuromuscular recovery. Despite this, there are no clear measures of such task engagement. This paper assesses the extent to which certain physiological measurements might provide a measure of task engagement. In previous studies, correlations between mental focus and certain physiological measurements have been observed in subjects performing tasks requiring mental effort. In this study, the authors analyzed whether these signals showed similar correlation when subjects performed a multi-limb-coordination motor-learning task. Subjects played a video game which required the use of both arms and one leg to play a simplified electronic drum set with varying difficulty. Heart rate (HR), skin conductance level (SCL), and facial electromyogram (EMG) were recorded while the subjects played. Analysis of the recordings showed statistically significant correlations relating task difficulty to SCL, HR and EMG amplitude in corrugator supercilii. No statistically significant correlation was observed between task difficulty and EMG in frontalis.
机译：身体康复界普遍认为，任务投入对于有效的神经肌肉康复至关重要。尽管如此，仍没有明确的措施来进行此类任务。本文评估了某些生理测量可以提供某种程度的任务投入程度的程度。在先前的研究中，在执行需要精神努力的任务的受试者中，观察到了精神焦点与某些生理测量之间的相关性。在这项研究中，作者分析了当受试者执行多肢协调运动学习任务时，这些信号是否显示相似的相关性。受试者玩了一个视频游戏，需要用双臂和一条腿来演奏简化的电子鼓，难度各不相同。受试者玩耍时记录其心率（HR），皮肤电导水平（SCL）和面部肌电图（EMG）。记录的分析显示出统计学上的显着相关性，将任务难度与瓦楞纸箱中的SCL，HR和EMG振幅相关。额叶的任务难度和肌电图之间未观察到统计学上的显着相关性。

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