Wavelet entropy for subband segmentation of EEG during injury and recovery

Annals of Biomedical Engineering

Volumn 31, Issue 6, 2003, Pages 653-658

  Al Nashash, Hasan A ^a   Paul, Joseph S ^b   Ziai, Wendy C ^b   Hanley, Daniel F ^b   Thakor, Nitish V ^b  

^a AMERICAN UNIVERSITY OF SHARJAH   (United Arab Emirates)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Burst patterns; Subband segmentation; Wavelet entropy

Indexed keywords

BIOELECTRIC POTENTIALS; BRAIN; DISEASES; LIVING SYSTEMS STUDIES; NEUROLOGY;

BURST PATTERNS; GLOBAL CEREBRAL ISCHEMIA; HYPOXIC-ISCHEMIC CARDIAC ARREST; SHANNON ENTROPY; SUBBAND WAVELET ENTROPY;

ELECTROENCEPHALOGRAPHY;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; BRAIN; BRAIN ISCHEMIA; CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; CONVALESCENCE; ELECTROENCEPHALOGRAPHY; EVALUATION; FOURIER ANALYSIS; METHODOLOGY; PATHOPHYSIOLOGY; PHYSIOLOGY; RAT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; ANIMALS; BRAIN; BRAIN ISCHEMIA; DIAGNOSIS, COMPUTER-ASSISTED; ELECTROENCEPHALOGRAPHY; FOURIER ANALYSIS; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; RATS; RECOVERY OF FUNCTION; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 0037934275     PISSN: 00906964     EISSN: None     Source Type: Journal    
DOI: 10.1114/1.1575757     Document Type: Article

References (24)

1. Agarwal, R., and J. Gotman. Adaptive segmentation of electroencephalographic data using a nonlinear energy operator. Presented at the IEEE International Symposium on Circuits and Systems, ISCAS '99, 1999.
2. Agarwal, R., J. Gotman, D. Flanagan, and B. Rosenblatt. Automatic EEG analysis during long-term monitoring in the ICU. Electroencephalogr. Clin Neurophysiol. 107:44-58, 1998.
3. Bercher, J., and C. Vignat. Estimating the entropy of a signal with Applications. IEEE Signal Process. Mag. 48:1687-1694, 2000.
4. Bezerianos, A., S. Tong, and N. Thakor, Information measures of brain dynamics. Presented at the Nonlinear Signal and Image Processing Workshop, Baltimore, MD, 2001.
5. Borel, C., and D. Hanley. Neurologic intensive care unit monitoring. Crit. Care Clin. 1:223-239, 1985.
6. Chui, C. An Introduction to Wavelets'. New York: Academic, 1991.
7. Flandrin, P., R. Baraniuk, and O. Michael. Time-frequency complexity and Information. Presented at the IEEE International Conference on Acoustics, Speech, and Signal Proceeding, ICASSP' 94, 1994.
8. Geocadin, R. G., R. Ghodadra, T. Kimura, H. Lei, D. L. Sherman, and D. F. Hanley, and N. V. Thakor. Novel quantitative EEG injury measure of global cerebral ischemia. Clin. Neurophysiol. 111:1779-1787, 2000.
9. Goel, V., A. M. Brambrink, A. Baykal, R. C. Koehler, D. F. Hanley, and N. V. Thakor. Dominant frequency analysis of EEG reveals brain's response during injury and recovery. IEEE Trans. Biomed. Eng. 43:1083-1092, 1996.
10. Gray, R. Entropy and Information Theory, New York: Springer, 1990.
11. Jonkman, E., A. Van Huffelen, and G. Pfurtscheller. Quantitative EEG in cerebral ischemia (Clinical applications of computer analysis of EEG and other neurophysiological signals). In: Handbook of Electroencephalography and Clinical Neurophysiology, edited by L. d. S. FH, S. v. L. W, and R. A. Amsterdam: Elsevier, 1986.
12. Katz, L., U. Ebmeyer, P. Safar, A. Radovsky, and R. Neumar, Outcome model of asphyxial cardiac arrest in rats. J. Cereb. Blood Flow Metab. 15:1032-1039, 1995.
13. Kraaier, V., A. C. van Huffelen, and G. H. Wieneke. Changes in quantitative EEG and blood flow velocity due to standardized hyperventilation: A model of transient ischaemia in young human subjects. Electroencephalogr. Clin. Neurophysiol. 70:377-387, 1988.
14. Niedermeyer, E., D. L. Sherman, R. J. Geocadin, H. C. Hansen, and D. F. Hanley. The burst-suppression electronencephalogram. Clin. Electroencephalogr. 30:99-105, 1999.
15. Pfurtscheller, G. Special uses of EEG computer analysis in clinical environments. In: Electroencephalography. Basic Principles, Clinical Applications, and Related Fields, edited by N. E and F. H. Lopes da Silva. Baltimore (MD): Williams and Wilkins, 1998, pp. 1215-1223.
16. Pfurtscheller, G., A. Stancak, Jr., and G. Edlinger. On the existence of different types of central beta rhythms below 30 Hz. Electroencephalogr. Clin. Neurophysiol. 102:316-325, 1997.
17. Rosso, O. A., S. Blanco, J. Yordanova, V. Kolev, A. Figliola, M. Schurmann, and E. Basar. Wavelet Entropy: A new tool for analysis of short duration brain electrical signals. J. Neurosci. Methods 105:65-75, 2001.
18. Schwibbe, M., A. Breull, and D. Becker. Peak centered power spectra: A successful attempt to calculate efficient parameters in the alpha range of EEG. Electroencephalogr. Clin. Neurophysiol. 52:497-500, 1981.
19. Shah, S., A. El-Jaroudi, P. Loughlin, L. Chaparro, P. Flandrin, and W. Martin. Signal synthesis and positive time-frequency distributions. J. Franklin Inst. 337:317-328, 2000.
20. Sherman, D. L., A. M. Brambrink, R. N. Ichord, V. K. Dasika, R. C. Koehler, R. J. Traystman, D. F. Hanley, and N. V. Thakor. Quantitative EEG during early recovery from hypoxic-ischemic injury in immature piglets: Burst occurrence and duration," Clin. Electroencephalogr 30:175-183, 1999.
21. Thakor, N., and D. L. Sherman. Wavelet (time-scale) analysis in biomedical signal processing. CRC Crit. Rev. Biomed. Eng. 58:886-906, 1995.
22. Van der Worp, H. B., V. Kraaier, G. H. Wieneke, and A. C. Van Huffelen. Quantitative EEG during progressive hypocarbia and hypoxia. Hyperventilation-induced EEG changes reconsidered. Electroencephalogr. Clin. Neurophysiol. 79:335-341, 1991.
23. Van Huffelen, A., D. Poortvliet, C. Van der Wulp, and P. Magnus. Quantitative EEG in cerebral ischemia. In: EEG and Clinical Neurophysiology, edited by L. H. and A. A. Amsterdam: Excerpta Medica, 1980, pp. 125-137.
24. Williams, W., M. Brown, and A. Hero. Uncertainty, information and time-frequency distributions. Presented at SPIE, 1991.