Analysis of Sleep Electroencephalograph Signal Based on Detrended Cross-Correlation_Journal of Biomedical Engineering

Authors：

WANGYulan ¹ ,  WANGJun ²

1. Image Processing and Image Communications Key Lab., College of Telecommunications & Information Engineering, Nanjing Univ. of Posts & Telecomm, Nanjing 210003, China;
2. Image Processing and Image Communications Key Lab., College of Geo & Bio Information, Nanjing Univ. of Posts & Telecomm, Nanjing 210003, China;

Corresponding author：

WANGJun, Email: wangj@njupt.edu.cn

Keywords：

sleep electroencephalograph; sleep stages; detrended cross-correlation analysis

DOI：

10.7507/1001-5515.20140009

Video：

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The quality of sleep has a great relationship with health and working efficiency. The result of sleep stage classification is an important indicator to measure the quality of sleep, and it is also an important way to diagnose and treat sleep disorders. In this paper, the method of detrended cross-correlation analysis (DCCA) was used to analyze sleep stage classification, sleep electroencephalograph signals, which were extracted from the MIT-BIH Polysomnographic Database randomly. The results showed that the average DCCA exponent of the awake period is smaller than that of the first stage of non-rapid eye movement (NREM) sleeps. It is well concluded that the method of studying the sleep electroencephalograph with this method is of great significance to improve the quality of sleep, to diagnose and to treat sleep disorders.

Citation： WANGYulan, WANGJun. Analysis of Sleep Electroencephalograph Signal Based on Detrended Cross-Correlation. Journal of Biomedical Engineering, 2014, 31(1): 44-47. doi: 10.7507/1001-5515.20140009 Copy

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1. 周传志.大学生睡眠障碍者焦虑抑郁症状调查分析[J].职业时空:下半月版,2008,4(10):117.
2. 李勇.脑电信号现代分析方法的发展[J].国外医学:生物医学工程分册,1996,19(4):15-18.
3. 田心,韩志毅.用相空间内邻近轨线伸展的相关性研究脑电的混沌特性[J].中国生物医学工程学报,2001,20(3):266-272.
4. 梁晓花.基于脑电心电数据融合的睡眠分期[D].镇江:江苏大学,2008.
5. PODOBNIK B, STANLEY H E. Detrended cross-correlation analysis:a new method for analyzing two nonstationary time series[J]. Phys Rev Lett, 2008, 100(8):84102.
6. SHADKHOO S, JAFARI G R. Multifractal detrended cross-correlation analysis of temporal and spatial seismic data[J]. Eur Phys J B, 2009, 72(4):679-683.
7. SIQUEIRA E L Jr, STOŠIAC'U T, BEJAN L, et al. Correlations and cross-correlations in the Brazilian agrarian commodities and stocks[J]. Physica A:Statistical Mechanics and Its Applications, 2010, 389(14):2739-2743.
8. HE L Y, CHEN S P. Multifractal Detrended Cross-Correlation Analysis of agricultural futures markets[J]. Chaos, Solitions & Fractal,2011,44(6):355-361.
9. LIN A J, SHANG P J, ZHAO X J. The cross-correlations of stock markets based on DCCA and time-delay DCCA[J]. Nonlinear Dyn, 2012, 67(1):425-435.
10. ZEBENDE F G, FILHO M A. Cross-correlation between time series of vehicles and passengers[J]. Physica A:Statistical Mechanics and Its Applications, 2009, 388(23):4863-4866.
11. HAJIAN S, SADEGH MOVAHED M. Multifractal detrended cross-correlation analysis of sunspot numbers and river flow fluctuations[J]. Physica A:Statistical Mechanics and Its Applications, 2010, 389(21):4942-4957.
12. 赵大庆,王俊.小波多重分形在脑电信号分析中的应用[J].中国生物医学工程学报,2010,29(5):793-796.
13. ZHOU W X. Multifractal detrended cross-correlation analysis for two nonstationary signals[J]. Phys Rev E Stat Nonlin Soft Matter Phys, 2008, 77(6 Pt 2):66211.
14. PhysioNet. SHHS Polysomnography Database[DB/OL].(2011.12.16)[2012-6-10]. http://www.physionet.org/physiobank/database/shhpsgdb/.
15. 马斌荣,陈卉.医学科研中的统计方法[M].北京:科学出版社,2005:44-47.

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