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, Aihua 2; Bi, Jinhui 1; Sun, Songsong 1
	2013
会议日期	May 26, 2012 - May 31, 2012
会议地点	Beijing, China
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
卷号	39 IFMBE
DOI	10.1007/978-3-642-29305-4_133
页码	505-508
英文摘要	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.
会议录	IFMBE Proceedings
会议录出版者	Springer Verlag
语种	英语
ISSN号	16800737
内容类型	会议论文
源URL	[http://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 Computer and Communication, Lanzhou University of Technology, Lanzhou, China 2.College of Electrical and Information Engineering, Lanzhou University of Technology, Langongping road, Lanzhou, China;
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]. 见:. Beijing, China. May 26, 2012 - May 31, 2012.