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基于复杂度的针刺脑电信号特征提取
引用本文:边洪瑞,王江,韩春晓,邓斌,魏熙乐,车艳秋.基于复杂度的针刺脑电信号特征提取[J].物理学报,2011,60(11):118701-118701.
作者姓名:边洪瑞  王江  韩春晓  邓斌  魏熙乐  车艳秋
作者单位:(1)天津大学电气与自动化工程学院,天津 300072; (2)天津职业技术师范大学,天津 300222
基金项目:国家自然科学基金重点项目(批准号:50537030)、国家自然科学基金(批准号:61072012)和国家自然科学基金青年科学基金(批准号:50907044,60901035)资助的课题.
摘    要:为探究针灸刺激对大脑活动产生的影响,文章设计了4种针刺频率针刺右腿足三里穴获取脑电的实验.首次采用排序递归图和关联维数方法提取针刺脑电信号的复杂度参数来反映针刺大脑的功能状态,并基于这些方法研究了针刺作用对大脑功能区域的影响以及不同针刺频率与脑电复杂度的相关性.发现针刺时脑电的复杂度高于针刺前,尤以频率为100次/min的针刺影响最为明显;从FP2, F7, T3导联脑电中提取的确定性指标(DET)可作为区分针刺状态与针刺前状态的一种特征参数. 关键词: 针灸 脑电 排序递归图 关联维数

关 键 词:针灸  脑电  排序递归图  关联维数
收稿时间:2011-01-10

Features extraction from EEG signals induced by acupuncture based on the complexity analysis
Bian Hong-Rui,Wang Jiang,Han Chun-Xiao,Deng Bin,Wei Xi-Le and Che Yan-Qiu.Features extraction from EEG signals induced by acupuncture based on the complexity analysis[J].Acta Physica Sinica,2011,60(11):118701-118701.
Authors:Bian Hong-Rui  Wang Jiang  Han Chun-Xiao  Deng Bin  Wei Xi-Le and Che Yan-Qiu
Affiliation:School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;Tianjin University of Technology and Education, Tianjin 300222, China;School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;School of Electrical Engineering and Automation, Tianjin University, Tianjin 300072, China;Tianjin University of Technology and Education, Tianjin 300222, China
Abstract:To explore the effects of acupuncture stimulation on brain activities, an experiment is designed that acupunctures at Zusanli point of the right leg are performed at four different frequencies to obtain electroencephalograph (EEG) signals. For the first time the complexity parameter of EEG is extracted by order recurrence plot and correlation dimension method, which reflects the functional state of the brain under acupuncture. The effects of acupuncture on the functional region of brain and correlation among different acupuncture frequencies and the complexity of EEG are investigated. The results show that the complexity of EEG during acupuncture is higher than that before acupuncture and especially during acupuncture at a frequency of 100 times/min. Furthermore, the determinism (DET) extracted from EEG signals of electrodes FP2, F7 and T3 can be used as a characteristic parameter of distinction between the state during acupuncture and the state before acupuncture.
Keywords:acupuncture  electroencephalograph  order recurrence plot  correlation dimension
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