A new measure to characterize multifractality of sleep electroencephalogram

Chinese Science Bulletin

Volumn 51, Issue 24, 2006, Pages 3059-3064

  Ma, Qianli ^a,b   Ning, Xinbao ^a   Wang, Jun ^b   Bian, Chunhua ^a  

^a NANJING UNIVERSITY   (China)

^b Jiangsu Key Laboratory of Wireless Communications   (China)

Author keywords

Electroencephalogram; Multifractality; Sleep

Indexed keywords

EID: 33846414754     PISSN: 10016538     EISSN: 18619541     Source Type: Journal    
DOI: 10.1007/s11434-006-2213-y     Document Type: Article

References (20)

1. Thakor N V, Tong S. Advances in quantitative electroencephalogram analysis methods. Annu Rev Biomed Eng, 2004, 6: 453-495
2. Acharya U R, Faust O, Kannathal N, et al. Non-linear analysis of EEG signals at various sleep stages. Comput Methods Programs Biomed, 2005, 80(1): 37-45
3. Jiang Z H, Feng H Q, Liu D L, et al. Analyzing sleep EEG using correlation dimension and approximate entropy. J Biomed Eng (in Chinese), 2005, 22(4): 649-653
4. Peng C K, Buldyrev S, Goldberger A L, et al. Long-range correlations in nucleotide sequences. Nature, 1992, 356: 168-170
5. Watters P A. Time-invariant EEG power laws. Intern J Syst Sci, 2000, 31: 819-826
6. Watters P A, Martin F. A method for estimating long-range power law correlations from the electroencephalogram. Biol Psychol, 2004, 66(1): 79-89
7. Freeman W J. A proposed name for aperiodic brain activity: Stochastic chaos. Neural Netw, 2000, 13(1): 11-13
8. Chhabra A B, Meneveau C, Jensen R V, et al. Direct determination of the f(alpha) singularity spectrum and its application to fully developed turbulence. Phys Rev A, 1989, 40(9): 5284-5294
9. Balafas J S, Dewey T G. Multifractal analysis of solvent accessibilities in proteins. Phys Rev E, 1995, 52(1): 880-887
10. Ivanov P C, Amaral L A, Goldberger A L, et al. Multifractality in human heartbeat dynamics. Nature, 1999, 399(6735): 461-465
11. West B J, Scafetta N. Nonlinear dynamical model of human gait. Phys Rev E, 2003, 67(5): 051917
12. Wang J, Ning X, Ma Q. Multiscale multifractality analysis of a 12-lead electrocardiogram. Phys Rev E, 2005, 71(6): 062902
13. Popivanov D, Jivkova S, Stomonyakov V, et al. Effect of independent component analysis on multifractality of EEG during visual-motor task. Signal Processing, 2005, 85(11): 2112-2123
14. Wang W, Ning X B, Wang J, et al. Interleaving distribution of multifractal strength of 16-channel EEG signals. Chin Sci Bull, 2003, 48(16): 1700-1703
15. Smith J. Automated EEG analysis with microcomputers. Med Instrum, 1980, 14: 319-321
16. Ding M, Yang W. Distribution of the first return time in fractional Brownian motion and its application to the study of on-off intermittency. Phys Rev E, 1995, 52(1): 207-213
17. Halsey T C, Jensen M H, Kadanoff L P, et al. Fractal measures and their singularities: The characterization of strange sets. Phys Rev A, 1986, 33(2): 1141-1151
18. Goldberger A L, Amaral L A N, Glass L, et al. PhysioBank, physioToolkit, and physioNet: Components of a new research resource for complex physiologic signals. Circulation, 2000, 101(23): e215-e220
19. Mourtazaev M S, Kemp B, Zwinderman A H, et al. Age and gender affect different characteristics of slow waves in the sleep EEG. Sleep, 1995, 18(7): 557-564
20. Grozinger M, Roschke J. The automatic recognition of REM sleep: A challenge and some answers. Methods Find Exp Clin Pharmacol, 2002, 24(Suppl D): 33-35