Neonatal EEG signal characteristics using time frequency analysis

Physica A: Statistical Mechanics and its Applications

Volumn 390, Issue 6, 2011, Pages 1096-1110

  Abdulla, Waleed ^a   Wong, Lisa ^a  

^a UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

EEG signal processing; Time frequency analysis

Indexed keywords

SIGNAL PROCESSING;

EEG SIGNAL PROCESSING; ENERGY CONTENT; FREQUENCY CONTENTS; INTERESTING INFORMATION; MULTICOMPONENT SIGNALS; OPTIMISATIONS; TIME FREQUENCY ANALYSIS; TIME FREQUENCY DOMAIN;

FREQUENCY DOMAIN ANALYSIS;

EID: 78751567880     PISSN: 03784371     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.physa.2010.11.013     Document Type: Article

References (14)

1. B. Boashash, Time Frequency Signal Analysis-methods and Applications 1992 Longman Cheshire Pty Limited Melbourne
2. B. Boashash, Time Frequency Signal Analysis and Processing: A Comprehensive Reference 2003 Elsevier Boston
3. L. Cohen Time-Frequency Analysis 1995 Prentice Hall PTR Englewood Cliffs, NJ
4. H.I. Choi, and W.J. William Improved time-frequency representation of multicomponent signals using exponential kernels IEEE Trans. Acoust., Speech, Signal Processing 37 1989 862 871
5. B. Barkat, and B. Boashash A high-resolution quadratic time-frequency distribution for multicomponent signals analysis IEEE Transactions on Signal Processing 49 10 2001 2232 2239
6. Z.M. Hussain, B. Boashash, Multi-component IF estimation, in: Proceedings of the Tenth IEEE Workshop on Statistical Signal and Array Processing, 2000, 2000, pp. 559563.
7. Y. Zhao, L.E. Atlas, and R.J. Marks The use of cone-shaped kernels for generalized time-frequency representations of nonstationary signals IEEE Trans. Acoust. Speech, Signal Processing 38 1990 1084 1091
8. Steven R. Parker, Ashwin Natarajan, Optimal time-frequency representations for the analysis of EEG waveforms. Technical report, Arizona State University Ira A. Fulton School of Engineering, 2002.
9. P. Zarjam, G. Azemi, M. Mesbah, B. Boashash, Detection of newborns' EEG seizure using time-frequency divergence measures, in: Acoustics, Speech, and Signal Processing, 2004, Proceedings, ICASSP '04. IEEE International Conference on, vol. 5, pages V429V432, 2004.
10. L. Wong, W. Abdulla, Time-frequency evaluation of segmentation methods for neonatal EEG signals, in: Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2006, pp. 13031306.
11. B. Boashash, A.M. Zoubir, M. Roessgen, On-line detection of seizure in newborn EEG using signal processing tools, in: Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on, vol. 1, Santorini Greece, 1997, pp. 7982.
12. B. Boashash, P. Barklem, M. Keir, Detection of seizure signals in newborns, in: Acoustics, Speech, and Signal Processing, 1999. ICASSP '99. Proceedings., 1999 IEEE International Conference on, vol. 4, 1999, pp. 23512354.
13. B. Boashash, H. Carson, M. Mesbah, Detection of seizures in newborns using time-frequency analysis of EEG signals, in: Statistical Signal and Array Processing, 2000. Proceedings of the Tenth IEEE Workshop on, Pocono Manor, PA USA, 2000, pp. 564568.
14. B. Boashash, M. Mesbah, P. Colditz, Newborn EEG seizure pattern characterisation using time-frequency analysis, in: Acoustics, Speech, and Signal Processing, 2001 Proceedings, ICASSP '01, 2001 IEEE International Conference on, vol. 2, 2001, pp. 10411044. (Pubitemid 32839099)