Evaluation of the modified S-transform for timefrequency synchrony analysis and source localisation

Eurasip Journal on Advances in Signal Processing

Volumn 2012, Issue 1, 2012, Pages

  Assous, Said ^a   Boashash, Boualem ^b,c  

^a Weatherford   (United Kingdom)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c QATAR UNIVERSITY   (Qatar)

Author keywords

Array processing; Cross time frequency; EEG signal; Instantaneous frequency; Modified S transform; Phase synchrony; Quadratic time frequency distributions; Time frequency coherence; Time frequency signal analysis

Indexed keywords

EEG SIGNALS; INSTANTANEOUS FREQUENCY; PHASE SYNCHRONY; QUADRATIC TIME-FREQUENCY; S TRANSFORMS; TIME FREQUENCY; TIME-FREQUENCY SIGNAL ANALYSIS;

ARRAY PROCESSING; ELECTRICAL ENGINEERING; TECHNOLOGY;

SPECTRUM ANALYSIS;

EID: 84868551869     PISSN: 16876172     EISSN: 16876180     Source Type: Journal    
DOI: 10.1186/1687-6180-2012-49     Document Type: Article

References (53)

1. B Boashash, Time Frequency Signal Analysis and Processing: A Comprehensive Reference (Elsevier, Oxford, 2003)
2. J Imberger, B Boashash, Application of the Wigner-Ville distribution to temperature gradient microstructure: a new technique to study small-scale variations. Phys Oceanograp. 16(12), 1997-2012 (1986). doi:10.1175/1520-0485 (1986) 0162.0. CO;2
3. B Boashash, Note on the use of the Wigner-Ville distribution for timefrequency signal analysis. IEEE Trans Acoust Speech Signal Process. 36(9), 1518-1521 (1988). doi:10.1109/29.90380
4. W-k Lu, Q Zhang, Deconvolutive short-time fourier transform spectrogram. IEEE Signal Process Lett. 16(7), 576-579 (2009)
5. Y Zhao, LE Atlas, RJ Marks, The use of cone-shape kernels for generalized time-frequency representations of nonstationary signals. IEEE Trans Acoust Speech Signal Process. 38(7), 1084-1091 (1990). doi:10.1109/29.57537 (Pubitemid 20726254)
6. H Choi, WJ Williams, Improved time-frequency representation of multicomponent signals using exponential kernels. IEEE Trans Acoust Speech Signal Process. 37(6), 862-871 (1989). doi:10.1109/ASSP.1989.28057
7. RG Stockwell, L L Mansinha, RP Lowe, Localisation of the complex spectrum: the S transform. IEEE Trans Signal Process. 44(4), 998-1001 (1996). doi:10.1109/78.492555
8. M Rosenblum, A Pikovsky, J Kurths, Phase synchronization of chaotic oscillators. Phys Rev Lett. 76(11), 1804-1807 (1996). doi:10.1103/PhysRevLett. 76.1804 (Pubitemid 126638871)
9. WA Gardner, Introduction to Random Processes: with Applications to Signals and Systems (McGraw-Hill Inc., US, 1990)
10. LH Koopmans, in The Spectral Analysis of Time Series; in Probability and Mathematical Statistics, vol. 22. (Academic Press, London, UK, 1995)
11. JS Bendat, AG Piersol, Random Data Analysis and Measurement Procedures (Wiley, New York, 2000)
12. B Boashash, Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals. IEEE, Proceedings. 80(4), 520-538 (1992). doi:10.1109/5.135376
13. D Li, R Jung, Quantifying coevolution of nonstationary biomedical signals using time-varying phase spectra. Ann Biomed Eng. 28(9), 1101-1115 (2000) (Pubitemid 32085798)
14. K Gochenig, Foundations of Time-Frequency Analysis (Birkhauser, Boston, 2001)
15. NE Huang, Z Shen, SR Long, Wu ML, HH Shih, Q Zheng, NC Yen, C Tung, HH Liu, The empirical mode decomposition and Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond A. 454, 903-1005 (1998). doi:10.1098/rspa.1998.0193
16. W Lin, M Xiaofeng, An adaptative generalized S-transform for instantaneous frequency estimation. Signal Process. 91(8), 1876-1886 (2011). doi:10.1016/j. sigpro.2011.02.010
17. E Sejdic, L Stancovic, M Dakovic, J Jiang, Instantaneous frequency estimation using the S-transform. IEEE Trans Signal Process Lett. 15, 309-312 (2008)
18. RG Stockwel, in Why use the S-transform, vol. 52, ed. by A Wong (Fields Institute Communications, Providence, 2007), pp. 279-309. Pseudo-Differential Operators: PDEs and Time-Frequency Analysis
19. B Boashash, PJ O'Shea, Use of the cross Wigner-Ville distribution for estimation of instantaneous frequency. IEEE Trans Signal Process. 41(3), 1439-1445 (1993). doi:10.1109/78.205752 (Pubitemid 23701016)
20. L Mansinha, RG Stockwell, RP Lowe, Pattern analysis with two-dimensional spectral localisation: applications of two dimensional S-transforms. Phys A. 239, 286-295 (1997). doi:10.1016/S0378-4371 (96) 00487-6 (Pubitemid 127414404)
21. PD McFadden, JG Cook, LM Forster, Decomposition of gear vibration signals by the generalized S transform. Mechan Syst Signal Process. 13, 691-707 (1999). doi:10.1006/mssp. 1999.1233
22. CR Pinnegar, L Mansinha, The S-transform with windows of arbitrary and varying shape. Geophysics. 68, 381-385 (2003). doi:10.1190/1.1543223 (Pubitemid 36294753)
23. G Kondaveeti, MJB Reddy, DK Mohanta, Power quality analysis on EHV transmission line using modified S-transform, in 9th International Conference on Environment and Electrical Engineering (EEEIC2010), Prague, Czech Republic, IEEE-PES, pp. 337-16 (340-19 May 2010)
24. GV Nithin, SS Sitanshu, L Mansinha, KF Tiampo, G Panda, Time localised band filtering using modified S-transform, in Proceedings of the International Conference on Signal Processing Systems (ICSPS09), Singapore, pp. 42-46 (15-17 May 2009)
25. W Czaja, G Kutyniok, D Speegle, The geometry of sets of parameters of wave packet frames. Appl Comput Harmon Anal. 20, 108-112 (2006). doi:10.1016/j.acha.2005.04.002 (Pubitemid 43199861)
26. LB White, B Boashash, Cross spectral analysis of nonstationary processes. IEEE Trans Inf Theory. 36(4), 830-835 (1990). doi:10.1109/18.53742 (Pubitemid 20725147)
27. P Boles, B Boashash, The cross Wigner-Ville distribution-a two dimensional analysis method for the processing of vibroseis seismic signals, in Proc International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE-ICASSP, NY, USA, pp. 904-907 (11-14 Apr. 1988) (Pubitemid 18666160)
28. M Chavez, MLV Quyen, V Navarro, M Baulac, J Martinerie, Spatio-temporal dynamics prior to neocortical seizures: amplitude versus phase couplings. IEEE Trans Biomed Eng. 50(5), 571-583 (2003). doi:10.1109/TBME.2003.810696
29. MD Alessandro, R Esteller, G Vachtsevanos, A Hinson, J Echauz, B Litt, Epileptic seizure prediction using hybrid feature selection over multiple intracranial EEG electrode contacts: a report of four patients. IEEE Trans Biomed Eng. 50(5), 603-615 (2003). doi:10.1109/TBME.2003.810706
30. RG Andrzejak, F Mormann, G Widman, T Kreuz, CE Elger, K Lehnertz, Improved spatial characterization of the epileptic brain by focusing on nonlinearity. Epilepsy Res. 69(2), 30-44 (2006)
31. D Gupta, CJ James, WP Gray, Phase synchronization with ica for epileptic seizure onset detection in the long term EEG, in Proc 4th IET Int Conf on Intelligent, Advanced in Medicine, Signal and Information Processing (MEDSIP), IET 2008, Seattle, USA, pp. 1-4 (21-22 July 2008)
32. H Hassanpour, M Mesbah, B Boashash, Timefrequency based newborn EEG seizure detection using low and high frequency signatures. Physiol Meas. 25, 935-944 (2004). doi:10.1088/0967-3334/25/4/012 (Pubitemid 39121175)
33. M Rankine, LV Mesbah, B Boashash, Automatic newborn EEG seizure spike and event detection using adaptive windowoptimization, in Proc ISSPA 2005, IEEE 2005, Sydney, Australia, pp. 187-190 (Aug. 2005) (Pubitemid 46289677)
34. M Roessgen, AM Zoubir, B Boashash, Seizure detection of newborn eeg using a model-based approach. IEEE Trans Biomed Eng. 45(6), 673-685 (1998). doi:10.1109/10.678601 (Pubitemid 28294272)
35. J Altenburg, R Vermeulen, R Strijers, W Fetter, C Stam, Seizure detection in the neonatal EEG with synchronization likelihood Clin Neurophysiol. 114, 50-55 (2003) (Pubitemid 35454171)
36. MLV Quyan, Anticipating epileptic seizures: from mathematics to clinical applications. C R Biol. 328(2), 187-198 (2005). doi:10.1016/j.crvi.2004.10.014 (Pubitemid 40247064)
37. TI Netoff, SJ Schiff, Decreased neuronal synchronization during experimental seizures. J Neurosci. 22(16), 7297-7307 (2002) (Pubitemid 35379184)
38. M Rosenblum, A Pikovsky, J Kurths, C Schafer, PA Tass, Phase synchronization: from theory to data analysis, in Neuro-Informatics and Neural Modeling, ed. by F Moss, S Gielen (Elsevier, North-Holland, 2001), pp. 279-321
39. F Mormann, K Lehnertz, P David, CE Elger, Mean phase coherence as a measure for phase synchronization and its application to the EEG of epilepsy patients. Phys D Nonlinear Phen. 144(3-4), 358-369 (2000). doi:10.1016/S0167- 2789 (00) 00087-7
40. W De-Clercq, P Lemmerling, W Van-Paesschen, S Van-Huffel, Characterization of in-terictal and ictal scalp EEG signals with the Hilbert transform, in Proc 25th Annu International Conf of the IEEE-EMBS, Cancun, Mexico, pp. 2459-2462 (17-21 Sept 2003)
41. D Gupta, CJ James, Narrowband vs. broadband phase synchronization analysis applied to independent components of ictal and interictal EEG, in Proceedings of the 29th Annual International Conference of the IEEE-EMBS, ed. by Y Smith (Lyon, France, 2007), pp. 3864-3867
42. L Angelini, LMD Tommaso, M Guido, Hu PC, K Ivanov, D Marinazzo, G Nardulli, L Nitti, M Pellicoro, C Pierro, S Stramaglia, Steady-state visual evoked potentials and phase synchronization in migraine patients. Phys Rev Lett. 93(3), 38103-38106 (2004)
43. H Adeli, Z Zhou, N Dadmehr, Analysis of EEG records in an epiliptic patient using wavelet transform. Neurosci Methods. 123, 69-87 (2003). doi:10.1016/S0165-0270 (02) 00340-0 (Pubitemid 36173654)
44. P Bob, M Susta, K Glaslova, EEG phase synchronization in patients with paranoid schizophrenia. Neurosci Lett. 447, 73-77 (2008). doi:10.1016/j. neulet.2008.09.055
45. JP Lachaux, A Lutz, D Rudrauf, D Cosmelli, M Le-Van-Quyen, J Martinerie, F Varela, Estimating the time course of coherence between single-trial brain signals: an introduction to wavelet coherence. Neurophysiol Clin. 32(1-3), 1-18 (2002)
46. MLV Quyan, J Foucher, E Lachaux, JP Rodriguez, A Lutz, J Martinerie, FJ Varela, Comaprison of Hilbert transform and wavelet methods for the analysis of neural synchrony. Neurosci Methods. 111(2), 83-98 (2001). doi:10.1016/S0165-0270 (01) 00372-7 (Pubitemid 32930045)
47. B Boashash, M Mesbah, Time-frequency methodology for newborn electroencephalo-graphic seizure detection, in Applications in Time-frequency Signal Processing, ed. by A Papandreou-Suppappola (CRC Press LLC, Boca Raton, 2002), pp. 339-369
48. B Boashash, M Mesbah, Time-frequency approach for newborn EEG seizure detection. IEEE Eng Med Biol Mag. 20(5), 54-64 (2001) (Pubitemid 32963364)
49. B Boashash, M Mesbah, P Colditz, Newborn EEG seizure pattern characterisation using time-frequency analysis, in Proc International Conference on Acoustics, Speech, and Signal Processing (ICASSP), IEEE-ICASSP 2001, Salt Lake City, USA, pp. 1041-1044 (7-11 May 2001) (Pubitemid 32839099)
50. M Roessgen, A Zoubir, B Boashash, Seizure detection of newborn EEG using a model based approach. IEEE Trans Biomed Eng. 45(6), 673-685 (1998). doi:10.1109/10.678601 (Pubitemid 28294272)
51. NJ Stevenson, M Mesbah, GB Boylan, PB Colditz, B Boashash, A nonlinear model of newborn EEG with nonstationary inputs. Ann Biomed Eng. 38(9), 3010-3021 (2010). doi:10.1007/s10439-010-0041-3
52. P Celka, B Boashash, P Colditz, Pre-processing and time-frequency analysis of newborn EEG seizures. IEEE Eng Med Biol Mag. 20(5), 30-38 (2001). doi:10.1109/51.956817 (Pubitemid 32963361)
53. E Niedermeyer, F Lopes-da Silva, Electroencephalography: Basic Principles, Clinical Applications and Related Fields (Lippincott williams & Wilkins, Philadelphia, 2004)