在活动运动中使用人体感觉运动区域的ECoG高伽马功率进行运动分类

Seokyun Ryun, J. Kim, Eunjeong Jeon, C. Chung
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引用次数: 1

摘要

在感觉运动区,高伽马范围(> ~ 50hz)的神经激活得到了明显的观察。先前的神经生理学研究表明,在主动运动中存在显性的感觉运动高伽马能量变化。在这里,我们证明了两种不同的运动类型(手抓握和肘部弯曲)可以在单次试验条件下使用来自初级运动皮层的高伽马特征的空间动力学以高精度区分。基于我们的研究结果,我们认为主动运动中的感觉运动高伽马活动可以作为持续运动分类的一个强大特征,它们的特征主要代表了即时运动状态。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Movement classification using ECoG high-gamma powers from human sensorimotor area during active movement
Neural activation in high-gamma range (>50 Hz) is robustly observed in sensorimotor area. Previous neurophysiological studies have indicated that there are dominant sensorimotor high-gamma power changes during active movement. Here, we demonstrate that two different movement types (hand grasping and elbow flection) can be discriminated at single-trial conditions with high accuracy using the spatial dynamics of high-gamma features from primary motor cortex. Based on our results, we propose that sensorimotor high-gamma activities during active movement can be a powerful feature for on-going movement classification, and their characteristics mainly represent the instant movement states.
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