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放松状态下α波的溯源分析

王海霞 尤文斌 于在水 邓慧芳

数据采集与处理2019,Vol.34Issue(2):367-372,6.
数据采集与处理2019,Vol.34Issue(2):367-372,6.DOI:10.16337/j.1004-9037.2019.02.020

放松状态下α波的溯源分析

Traceability Analysis of α Waves in Relaxation State

王海霞 1尤文斌 1于在水 2邓慧芳1

作者信息

  • 1. 中北大学电子测试技术国家重点实验室,太原,030051
  • 2. 上海复旦微电子集团股份有限公司,上海,200433
  • 折叠

摘要

Abstract

Most α wave studies only analyze α wave differences in different brain regions, which provides insufficient information to study their neural mechanisms. Aiming at this problem, a α wave independent component energy analysis method is proposed, and the main area of α wave generation is traced combining with the source localization algorithm. Firstly, the main active zone of α wave is analyzed by calculating αwave power in each brain area after pre-treatment. Then the independent components of decomposition from FastICA algorithm are source localized. Finally, the relationship between α wave in main brain area of action and every independent component is analyzed by α wave independent component energy analysis method. Testing results on six 26-year-old right-handed male subjects show that the main action areas of αwave in relaxed state are the left and the right occipital regions, followed by the right and the left posterior iliac regions. Although there is no distinct differences in α wave power of the left and the right occipital regions, the main α wave energy comes from different neural sources, which is located at the left brain near the left occipital area and the right brain near the right occipital area, respectively. Results of two-way repeated analysis of variance show that these two different neural sources have effect on α wave of the left and the right occipital regions.

关键词

脑电信号/α波/FastICA算法/溯源分析

Key words

electroencephalogram (EEG)/α wave/FastICA algorithm/traceability analysis

分类

信息技术与安全科学

引用本文复制引用

王海霞,尤文斌,于在水,邓慧芳..放松状态下α波的溯源分析[J].数据采集与处理,2019,34(2):367-372,6.

基金项目

国家自然科学基金(61701445)资助项目 (61701445)

数据采集与处理

OA北大核心CSCDCSTPCD

1004-9037

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