Time-frequency processing of nonstationary signals: Advanced tfd design to aid diagnosis with highlights from medical applications

IEEE Signal Processing Magazine

Volumn 30, Issue 6, 2013, Pages 108-119

  Boashash, Boualem ^a,b   Azemi, Ghasem ^a   O'Toole, John M ^c  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b QATAR UNIVERSITY   (Qatar)

^c UNIVERSITY OF DEUSTO   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

DESIGN; ELECTROENCEPHALOGRAPHY; MEDICAL APPLICATIONS; MEDICAL PROBLEMS;

CLASSIFICATION AND INTERPRETATION; ELECTRO-ENCEPHALOGRAM (EEG); HEART RATE VARIABILITY; MULTICOMPONENT SIGNALS; NONSTATIONARY SIGNALS; PATHOLOGICAL SPEECH SIGNALS; QUADRATIC TIME-FREQUENCY; TIME-FREQUENCY PROCESSING;

DIAGNOSIS;

EID: 85032751080     PISSN: 10535888     EISSN: None     Source Type: Journal    
DOI: 10.1109/MSP.2013.2265914     Document Type: Article

References (30)

1. B. Boashash, Ed., Time-Frequency Signal Analysis and Processing: A Comprehensive Reference. Oxford, UK: Elsevier, 2003.
2. P. C. Petrantonakis and L. J. Hadjileontiadis, "Adaptive emotional information retrieval from EEG signals in the time-frequency domain," IEEE Trans. Signal Processing, vol. 60, no. 5, pp. 2604-2616, 2012.
3. C. F. Lu, S. Teng, C. I. Hung, P. J. Tseng, L. T. Lin, P. L. Lee, and Y. T. Wu, "Reorganization of functional connectivity during the motor task using EEG time-frequency cross mutual information analysis," Clin. Neurophysiol., vol. 122, no. 8, pp. 1569-1579, 2011.
4. A. T. Tzallas, M. G. Tsipouras, and D. I. Fotiadis, "Epileptic seizure detection in EEGs using time-frequency analysis," IEEE Trans. Inform. Technol. Biomed., vol. 13, no. 5, pp. 703-710, Sept. 2009.
5. G. Garcia, T. Ebrahimi, and J. Vesin, "Joint time-frequency-space classification of EEG in a brain computer interface application," EURASIP J. Adv. Signal Processing, vol. 2003, no. 7, pp. 713-729, 2003.
6. M. Abed, A. Belouchrani, M. Cheriet, and B. Boashash, "Time-frequency distributions based on compact support kernels: Properties and performance evaluation," IEEE Trans. Signal Processing, vol. 60, no. 6, pp. 2814-2827, June 2012.
7. B. Boashash and T. Ben-Jabeur, "Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection," in Proc. 11th Int. Conf. Information Science, Signal Processing and Their Applications (ISSPA), July 2012, pp. 354-359.
8. B. Boashash, L. Boubchir, and G. Azemi, "A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals," EURASIP J. Adv. Signal Processing, vol. 2012, no. 1, pp. 1-21, 2012.
9. J. M. OToole and B. Boashash, "Time-frequency detection of slowly varying periodic signals with harmonics: Methods and performance evaluation," EURASIP J. Adv. Signal Processing, vol. 2011, pp. 5:1-5:16, Jan. 2011.
10. M. Zivanovic and M. Gonzalez-Izal, "Nonstationary harmonic modeling for ECG removal in surface EMG signals," IEEE Trans. Biomed. Eng., vol. 59, no. 6, pp. 1633-1640, June 2012.
11. B. Ghoraani and S. Krishnan, "A joint time-frequency and matrix decomposition feature extraction methodology for pathological voice classification," EURASIP J. Adv. Signal Processing, vol. 2009, pp. 10:1-10:11, Jan. 2009.
12. M. Orini, R. Bailon, L. T. Mainardi, P. Laguna, and P. Flandrin, "Characterization of dynamic interactions between cardiovascular signals by time-frequency coherence," IEEE Trans. Biomed. Eng., vol. 59, no. 3, pp. 663-673, Mar. 2012.
13. L. T. Mainardi, "On the quantification of heart rate variability spectral parameters using time-frequency and time-varying methods," Philos. Trans. Roy. Soc. London A, Math. Phys. Sci., vol. 367, no. 1887, pp. 255-275, 2009.
14. S. Aviyente and A. Y. Mutlu, "A time-frequency-based approach to phase and phase synchrony estimation," IEEE Trans. Signal Processing, vol. 59, no. 7, pp. 3086-3098, July 2011.
15. R. E. Greenblatt, M. E. Pflieger, and A. E. Ossadtchi, "Connectivity measures applied to human brain electrophysiological data," J. Neurosci. Methods, vol. 207, no. 1, pp. 1-16, 2012.
16. A. Omidvarnia, G. Azemi, P. B. Colditz, and B. Boashash, "A time-frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals," Dig. Signal Process., vol. 23, no. 3, pp. 780-790, May 2013.
17. B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and applications," Proc. IEEE, vol. 80, no. 4, pp. 540-568, Apr. 1992.
18. B. Boashash and V. Sucic, "Resolution measure criteria for the objective assessment of the performance of quadratic time-frequency distributions," IEEE Trans. Signal Processing, vol. 51, no. 5, pp. 1253-1263, May 2003.
19. D. L. Jones and R. G. Baraniuk, "An adaptive optimal-kernel time-frequency representation," IEEE Trans. Signal Processing, vol. 43, no. 10, pp. 2361-2371, 1995.
20. B. Ristic and B. Boashash, "Kernel design for time-frequency signal analysis using the Radon transform," IEEE Trans. Signal Processing, vol. 41, no. 5, pp. 1996-2008, 1993.
21. B. Boashash, "Time-frequency signal analysis," in Advances in Spectrum Estimation, S. Haykin, Ed. Englewood Cliffs, NJ: Prentice-Hall, 1991, ch. 9, pp. 418-517.
22. J. M. O Toole and B. Boashash, "Fast and memory-efficient algorithms for computing quadratic timefrequency distributions," Appl. Comput. Harmon. Anal., vol. 35, no. 2, pp. 350-358, Sept. 2013.
23. A. M. Sayeed, "Optimal time-frequency detectors," in Time-Frequency Signal Analysis and Processing: A Comprehensive Reference, B. Boashash, Ed. Oxford, UK: Elsevier, 2003, ch. 12, Article 12.1, pp. 500-509.
24. E. Sejdic, I. Djurovic, and J. Jiang, "Time-frequency feature representation using energy concentration: An overview of recent advances," Elsevier Dig. Signal Process., vol. 19, no. 1, pp. 153-183, 2009.
25. A. F. Quiceno-Manrique, J. I. Godino-Llorente, M. Blanco-Velasco, and G. Castellanos-Dominguez, "Selection of dynamic features based on time-frequency representations for heart murmur detection from phonocardiographic signals," Ann. Biomed. Eng., vol. 38, no. 1, pp. 118-137, Jan. 2010.
26. C. Guerrero-Mosquera, A. Malanda Trigueros, J. Iriarte Franco, and A. Navia- Vazquez, "New feature extraction approach for epileptic EEG signal detection using time-frequency distributions," Med. Biol. Eng. Comput., vol. 48, no. 4, pp. 321-330, Apr. 2010.
27. J. D. Martinez-Vargas, J. I. Godino-Llorente, and G. Castellanos- Dominguez, "Time-frequency based feature selection for discrimination of non-stationary biosignals," EURASIP J. Adv. Signal Processing, vol. 2012, no. 1, pp. 219, 2012.
28. S. Dong, B. Boashash, G. Azemi, B. Lingwood, and P. B. Colditz, "Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals," in Proc. 38th Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP), May 2013, pp. 939-943.
29. J. M. OToole, B. G. Zapirain, I. M. Saiz, A. B. A. Chen, and I. Y. Santamaria, "Estimating the time-varying periodicity of epileptiform discharges in the electroencephalogram," in Proc. 11th Int. Conf. Information Science, Signal Processing and Their Applications (ISSPA), July 2012, pp. 1229-1234.
30. H. R. Sharifzadeh, I. V. McLoughlin, and F. Ahmadi, "Reconstruction of normal sounding speech for laryngectomy patients through a modified CELP codec," IEEE Trans. Biomed. Eng., vol. 57, no. 10, pp. 2448-2458, Oct. 2010.