时间-频率特征在提示和自定节奏任务中区分手指运动方向

R. Ranaweera, T. Talavage, A. Krishnan
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引用次数: 2

摘要

为了实现对四肢瘫痪患者假肢运动的无创控制,利用连续脑电图(EEG)获得了健康受试者右手手指运动的事件相关电位(ERPs)的时频分布,并对其进行了分析,以区分运动任务。在时间-频率特征上观察到稳健的统计学显著差异,这可能有助于在提示和自定节奏的右手食指和拇指旋前和旋后非侵入性识别预期方向
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time-frequency Features Differentiate Direction of Finger Movement in Cued and Self-paced Tasks
With the intended goal of non-invasive control of prosthetic movement in quadriplegic patients, time-frequency distributions of scalp-recorded event-related potentials (ERPs) of movement of digits on the right hand of healthy subjects were obtained using continuous electroencephalography (EEG) and analyzed to differentiate between motor tasks. Robust, statistically significant differences were observed in the time-frequency features which may be useful in non-invasive identification of the intended direction during cued and self-paced pronation and supination of the right index finger and thumb
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