EEG based topography analysis in string recognition task

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• 作者：Xiaofei Ma ; Xiaolin Huang ; ^{xlhuang@nju.edu.cn} ; ^{huang_xiaolin@163.com} ; Yuxiaotong Shen ; Zike Qin ; Yun Ge ; Ying Chen ; Xinbao Ning
• 关键词：EEG ; String recognition ; Symbolic sample entropy ; Normalized rhythm power
• 刊名：Physica A: Statistical Mechanics and its Applications
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：469
• 期：Complete
• 页码：531-539
• 全文大小：734 K
• 卷排序：469

文摘

Symbolic sample entropy (SSE) outperforms sample entropy (SE) in analysis of functional dependent EEG. Variation topographies are generated with SE, SSE and NRP (normalized rhythm power) respectively. SSE and NRP highlight the involvement of P4, O2, T6 and C4 in string recognition task.