A method for drowsiness detection based on Tsallis entropy of EEG

doi:10.1007/978-3-642-29305-4_133

	A method for drowsiness detection based on Tsallis entropy of EEG
	Zhang, Aihua1 ; Bi, Jinhui 2; Sun, Songsong 2
	2013
会议名称	World Congress on Medical Physics and Biomedical Engineering
会议录名称	IFMBE Proceedings
卷号	39 IFMBE
页码	505-508
会议日期	May 26, 2012 - May 31, 2012
会议地点	Beijing, China
出版者	Springer Verlag
摘要	Introduction: for realizing detection of drowsiness, a method based on Tsallis entropy of EEG signal is proposed. Materials and Methods: EEG signals with bipolar montage C4-P4 and T4-T6 were collected from 20 healthy subjects during wake and drowsiness. After four kinds of EEG rhythms were extracted, the each rhythm complexity for the EEG signals was analyzed with Tsallis entropy. Results and Discussion: the results show that the Tsallis entropy of EEG theta rhythms either C4-P4 or T4-T6 in wake is obviously higher than drowsiness. So the drowsiness could be reliably detected in real-time by the Tsallis entropy of theta rhythm on C4-P4 or T4-T6. © 2013 Springer-Verlag.
关键词	Bioelectric potentials Biomedical engineering Entropy Medical Physics Wakes Drowsiness detection EEG rhythms EEG signals Healthy subjects Real time Theta rhythms Tsallis entropies
DOI	10.1007/978-3-642-29305-4_133
收录类别	EI
语种	英语
EI入藏号	20131616209365
EI主题词	Electroencephalography
ISSN	16800737
来源库	Compendex
分类代码	461.1 Biomedical Engineering - 461.6 Medicine and Pharmacology - 631.1 Fluid Flow, General - 641.1 Thermodynamics
引用统计	无
文献类型	会议论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/117641
专题	电气工程与信息工程学院
作者单位	1.College of Electrical and Information Engineering, Lanzhou University of Technology, Langongping road, Lanzhou, China; 2.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China
第一作者单位	兰州理工大学
推荐引用方式 GB/T 7714	Zhang, Aihua,Bi, Jinhui,Sun, Songsong. A method for drowsiness detection based on Tsallis entropy of EEG[C]:Springer Verlag,2013:505-508.