Brain Vigilance Analysis Based on the Measure of Complexity_Journal of Biomedical Engineering

Authors：

ZHAOYunlong ¹ , WANGXuemin ^1,2 , XUERanting ¹ , WANGXiaolu ¹ , GAOXiang ¹ , MINGDong ^1,2 , QIHongzhi ^1,2 ,  ZHOUPeng ^1,2

1. School of Precision Instrument and Optoelectronics Engineering, Tianjin University, Tianjin 300072, China;
2. Tianjin Key Laboratory of Biomedical Detection Technology and Instrumentation, Tianjin 300072, China;

Corresponding author：

ZHOUPeng, Email: zpzp@tju.edu.cn

Keywords：

vigilance; electroencephalogram; permutation entropy

DOI：

10.7507/1001-5515.20150132

Video：

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Abstract Full text Figures/Tables Video References Cited by

Vigilance is defined as the ability to maintain attention for prolonged periods of time. In order to explore the variation of brain vigilance in work process, we designed addition and subtraction experiment with numbers of three digits to induce the vigilance to change, combined it with psychomotor vigilance task (PVT) to measure this process of electroencephalogram (EEG), extracted and analyzed permutation entropy (PE) of 11 cases of subjects' EEG and made a brief comparison with nonlinear parameter sample entropy (SE). The experimental results showed that:PE could well reflect the dynamic changes of EEG when vigilance decreases, and has advantages of fast arithmetic speed, high noise immunity, and low requirements for EEG length. This can be used as a measure of the brain vigilance indicators.

Citation： ZHAOYunlong, WANGXuemin, XUERanting, WANGXiaolu, GAOXiang, MINGDong, QIHongzhi, ZHOUPeng. Brain Vigilance Analysis Based on the Measure of Complexity. Journal of Biomedical Engineering, 2015, 32(4): 725-729. doi: 10.7507/1001-5515.20150132 Copy

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13.	刘建平,张崇,郑崇勋,等.基于多导脑电复杂性测度的脑疲劳分析[J].西安交通大学学报,2008,42(12):1555-1559.
14.	DRUMMOND S P,BISCHOFF-GRETHE A,DINGES D F,et al.The neural basis of the psychomotor vigilance task[J].Sleep,2005,28(9):1059-1068.
15.	赵小磊,任明荣,张亚庭,等.基于排列熵的心电信号非线性分析[J].现代电子技术,2010,33(19):90-93.
16.	冯辅周,饶国强,司爱威,等.排列熵算法的应用与发展[J].装甲兵工程学院学报,2012,26(2):34-38.

1. SHAW T H,MATTHEWS G,WARM J S,et al.Individual differences in vigilance:Personality,ability and states of stress[J].J Res Pers,2010,44(3):297-308.
2. DAVIES D R,PARASURAMAN R.The psychology of vigilance[M].London:Academic Press,1982.
3. DAMOS D L,PARKER E S.High false alarm rates on a vigilance task may indicate recreational drug use[J].J Clin Exp Neuropsychol,1994,16(5):713-722.
4. AXELSSON J,KECKLUND G,AKERSTEDT T,et al.Sleepiness and performance in response to repeated sleep restriction and subsequent recovery during semi-laboratory conditions[J].Chronobiol Int,2008,25(2-3):297-308.
5. HORNE J A,BURLEY C V.We know when we are sleepy:subjective versus objective measurements of moderate sleepiness in healthy adults[J].Biol Psychol,2010,83(3):266-268.
6. BIEBUYCK J F,WEINGER M B,ENGLUND C E.Ergonomic and human factors affecting anesthetic vigilance and monitoring performance in the operating room environment[J].Anesthesiology,1990,73(5):995-1021.
7. 周鹏,张翼,李向新,等.大脑警觉度检测的研究现状与进展[J].生物医学工程学杂志,2012,29(3):574-578.
8. 陈雪峰.脉搏波特征提取算法及其应用研究[D].大连:大连理工大学,2006.
9. BANDT C,POMPE B.Permutation entropy:a natural complexity measure for time series[J].Phys Rev Lett,2002,88(17):174102.
10. 沈子炜,申云海,卞春华,等.运用排列熵方法分析冥想训练对心率变异性的影响[J].中国组织工程研究,2012,16(44):8256-8260.
11. NICOLAOU N,GEORGIOU J.Detection of epileptic electroencephalogram based on permutation entropy and support vector machines[J].Expert Syst Appl,2012,39(1):202-209.
12. FRANK B,POMPE B,SCHNEIDER U,et al.Permutation entropy improves fetal behavioural state classification based on heart rate analysis from biomagnetic recordings in near term fetuses[J].Med Biol Eng Comput,2006,44(3):179-187.
13. 刘建平,张崇,郑崇勋,等.基于多导脑电复杂性测度的脑疲劳分析[J].西安交通大学学报,2008,42(12):1555-1559.
14. DRUMMOND S P,BISCHOFF-GRETHE A,DINGES D F,et al.The neural basis of the psychomotor vigilance task[J].Sleep,2005,28(9):1059-1068.
15. 赵小磊,任明荣,张亚庭,等.基于排列熵的心电信号非线性分析[J].现代电子技术,2010,33(19):90-93.
16. 冯辅周,饶国强,司爱威,等.排列熵算法的应用与发展[J].装甲兵工程学院学报,2012,26(2):34-38.

Journal of Biomedical Engineering

Brain Vigilance Analysis Based on the Measure of Complexity

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