Methodology of wavelet packet selection for event detection

Signal Processing

Volumn 86, Issue 12, 2006, Pages 3826-3841

  Chendeb, Marwa ^a,b   Khalil, Mohamad ^b   Duchêne, Jacques ^a  

^a UNIVERSITÉ DE TECHNOLOGIE DE TROYES   (France)

^b LEBANESE UNIVERSITY   (Lebanon)

Author keywords

Event detection; Kullback Leibler distance; Uterine EMG; Wavelet packet

Indexed keywords

EVENT DETECTION; KULLBACK LEIBLER DISTANCE; UTERINE EMG; WAVELET PACKET;

IDENTIFICATION (CONTROL SYSTEMS); MATHEMATICAL MODELS; PROBABILITY; SIGNAL DETECTION;

WAVEFORM ANALYSIS;

EID: 33749428300     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2006.03.029     Document Type: Article

References (27)

1. Devedeux D., Marque C., Mansour S., Germain G., and Duchene J. Uterine electromyography: a critical review. Amer. J. Obstet. Gynecol. 169 6 (1993) 1636-1653
2. Radharkrishnan N., Wilson J.D., Lowery C., Eswaran H., and Murphy P. A fast algorithm for detecting contractions in uterine electromyography. IEEE Eng. Med. Biol. Mag. 19 2 (2000) 89-94
3. Marque C., Duchêne J., Lecrercq S., Panczer G., and Chaumont J. Uterine EHG processing for obstetrical monitoring. IEEE Trans. Biomed. Eng. BME 33 12 (1986) 1182-1187
4. Marque C., Gondry J., Rossi J., Baaklini N., and Duchêne J. Surveillance des grossesses à risque par électromyographie utérine. Revue Eur. Biomed. RBM 17 1 (1995) 25-31
5. Zennaro D., Wellig P., Koch V.M., Moschytz G.S., and Laubli T. A software package for the decomposition of long-term multichannel EMG signals using wavelet coefficients. IEEE Trans. Biomed. Eng. 50 1 (2003) 58-69
6. Coifman R.R., and Wickerhauser M.V. Entropy based algorithms for best basis selection. Proc. IEEE Trans. Inform. Theor. 38 2 (1992) 1241-1243
7. P.H. Hsu, Feature extraction of hyperspectral images using matching pursuit, in: Geo-Imagery Bridging Continents XXth ISPRS Congress, Istanbul, Turkey, 12-23 July 2004, pp. 883 ff.
8. Ravier P., and Amblard P.-O. Wavelet packets and de-noising based on higher-order-statistics for transient detection. Signal Process. 81 9 (2001) 1909-1926
9. Leman H., and Marque C. Rejection of the maternal electrocardiogram in the electrohysterogram signal. IEEE Trans. Biomed. Eng. 47 8 (2000) 1010-1017
10. E. Hitti, M. F. Lucas, Wavelet-packet basis selection for abrupt changes detection in multicomponent signals, in: Proceedings of EUSIPCO 1998, Island of Rhodes, Greece, 8-11 September 1998, pp. 1841-1844.
11. N. Saito, R.R. Coifman, Local discriminant bases, in: A.F. Laine, M.A. Unser (Eds.), Wavelet Applications in Signal and Image Processing {II}; Proc. SPIE 2303 (1994) 2-14.
12. Khalil M., and Duchêne J. Uterine EMG analysis: a dynamic approach for change detection and classification. IEEE Trans. Biomed. Eng. 47 6 (2000) 748-756
13. M. Chendeb, M. Khalil, J. Duchêne, Wavelet based method for detection: application in proprioceptive rehabilitation, in: Proceedings of the 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, San Francisco, CA, USA, 1-5 September 2004, pp. 161-164.
14. R. Ranta, C.R. Ranta, Ch. Heinrich, V. Louis-Dorr, D. Wolf, F. Guillemin, Wavelet-based bowel sounds denoising: segmentation and characterization, in: Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Istanbul, Turkey, 25-28 October 2001, pp. 1903-1906.
15. L.J. Trejo, M.J. Shensa, Linear and neural network models for predicting human signal detection performance from event-related potentials: a comparison of the wavelet transform with other feature extraction methods, Proceedings of the Fifth Workshop on Neural Networks, SPIE, 1993, pp. 153-161.
16. Kalayci T., and Ozdamar O. Wavelet preprocessing for the automatic detection of EEG spikes with neural networks. IEEE Engr. Med. Biol. Mag. 14 (1995) 160-166
17. Mallat S. A Wavelet Tour of Signal Processing (1999), Academic Press, San Diego, CA p. 8
18. Shibata R. Bootstrap estimate of Kullback-Leibler information for model selection. Stat. Sin. 7 (1997) 375-394
19. J.S.D. Bonet, P. Viola, Texture recognition using a nonparametric multi-scale statistical model, in: Proceedings of the IEEE Conference on Computer Vision Pattern Recognition, Santa Barbara, CA, 23-25 June 1998, pp. 641-647.
20. J.Y. Chen, C.A. Bouman, J.P. Allebach, Multiscale branch and bound algorithm image database, in: Proceedings of IS & T/ SPIE Conference on Storage and Retrieval for Image and Video Databases V, San Jose CA, 13-14 February 1997, pp. 133-144.
21. Kullback S., and Leibler R.A. On information and sufficiency. Ann. Math. Statist. 22 (1951) 79-86
22. Do M.N., and Vetterli M. Wavelet-based texture retrieval using generalized Gussian density and Kullback Leibler distance. Proc. IEEE Trans. Image. Process 11 2 (2002) 146-158
23. Sharifi K., and Leon-Garcia A. Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video. IEEE Trans. Circuits Syst. Video Technol. 5 1 (1995) 52-56
24. Varanasi M.K., and Aazhang B. Parametric generalized Gaussian density estimation. J. Acoust. Soc. Amer. 86 4 (1989) 1404-1415
25. M. Chendeb, M. Khalil, J. Duchêne, The use of wavelet packets for event detection, in: Proceedings of the 13th European Signal Conference EUSIPCO, Antalya, Turkey, 4-8 September 2005.
26. Basseville M., and Nikiforov I. Detection of Abrupt Changes: Theory and Application (1993), Prentice-Hall, Englewood Cliffs, NJ
27. Misiti M., Misiti Y., Oppenheim G., and Poggi J.M. Wavelet Toolbox, For Use with MATLAB, User's Guide Version 3 (2004), The MathWorks Inc., Apple Hill Drive, Natick, MA