Nonlinear feature extraction of sleeping EEG signals

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn 7 VOLS, Issue , 2005, Pages 4614-4617

  He, Wei Xing ^a   Yan, Xiang Guo ^a   Chen, Xiao Ping ^b   Liu, Hui ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b JIANGSU UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTROENCEPHALOGRAPHY; INFORMATION ANALYSIS; NONLINEAR SYSTEMS; REAL TIME SYSTEMS; SPECTRUM ANALYSIS; STATISTICAL METHODS;

APPROXIMATE ENTROPY (APEN); REAL-TIME TRACING SLEEP STAGES;

FEATURE EXTRACTION;

EID: 33846918434     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. N. Hazarika, A. C. Tsoi, and A. A. Sergejew, "Nonlinear considerations in EEG signal classification," IEEE Trans. Signal Processing, vol. 45, p. 829-836, Apr. 1997.
2. S. Micheloyannis, N. Flitzanis, E. Papanikolaou, M. Bourkas, and D.Terzakis, "Usefulness of nonlinear EEG analysis," Acta Neurol. Scand.,vol. 97, pp. 13-19, 1998.
3. C. Koch and G. Laurent, "Complexity and the nervous system," Science,vol. 284, pp. 96-98, 1999.
4. T. Kamae, OnKolmogorov's complexity and information, Osaka J. Math. 10 (1973) 305-307.
5. I. A. Rezek and S. J. Roberts, "Stochastic complexity measures for physiological signal analysis," IEEE Trans. Biomed. Eng., vol. 45, pp. 1186-1191, Sept. 1998.
6. A. Lempel and J. Ziv, "On the complexity of finite sequences," IEEE Trans. Inform. Theory, vol. IT-22, pp. 75-81, 1976.
7. F. Kaspar and H. G. Schuster, "Easily calculable measure for the complexity of spatiotemporal patterns," Phys. Rev. A, vol. 36, pp. 842-848,1987.
8. S. M. Pincus, I. M. Gladstone, and R. A. Ehrenkranz, "A regularity statistic for medical data analysis," J. Clin. Monit, vol. 7, pp. 335-345,1991.
9. J. Bruhn, H. Ropcke, and A. Hoeft, "Approximate entropy as an electroencephalographic measure of anesthesia drug effect during desflurane anesthesia," Anesthesiology, vol. 92, no. 3, pp. 715-726, Mar. 2000
10. Goldberger AL, Amaral LAN, Glass L, Hausdorff JM, Ivanov PCh, Mar k RG, Mietus JE, Moody GB, Peng C-K, Stanley HE. PhysioBank, Physi oToolkit, and PhysioNet: Components of a New Research Resource for Complex Physiologic Signals. Circulation 101(23):e215-e220[Circulation Electronic Pages; http://circ.ahajournals.org/cgi/content/full/101/23/e215]; 2000 (June 13).