Discussion of “Time-frequency Techniques in Biomedical Signal Analysis: A Tutorial Review of Similarities and Differences”

C. Baumgartner; K. J. Blinowska; A. Cichocki; H. Dickhaus; P. J. Durka; P. V. E. McClintock; G. Pfurtscheller; A. Stefanovska; S. Tong

doi:10.1055/s-0038-1627059

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2013; 52(04): 297-307
DOI: 10.1055/s-0038-1627059

Original Articles

Schattauer GmbH

Discussion of “Time-frequency Techniques in Biomedical Signal Analysis: A Tutorial Review of Similarities and Differences”

C. Baumgartner

¹Institute of Electrical and Biomedical Engineering, Department for Biomedical Informatics and Mechatronics, UMIT – The Health and Life Sciences University, Hall in Tirol, Austria

,

K. J. Blinowska

²Faculty of Physics, University of Warsaw, Warsaw, Poland

,

A. Cichocki

³Laboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN, Saitama, Japan, and Systems Research Institute, Polish Academy of Science, Warsaw, Poland

,

H. Dickhaus

⁴Institute of Medical Biometry and Informatics, Heidelberg University Hospital, Heidelberg, Germany

,

P. J. Durka

²Faculty of Physics, University of Warsaw, Warsaw, Poland

,

P. V. E. McClintock

⁵Department of Physics, Lancaster University, Lancaster, United Kingdom

,

G. Pfurtscheller

⁶Institute for Knowledge Discovery, Laboratory of Brain-Computer Interfaces, Graz University of Technology, Graz, Austria

,

A. Stefanovska

⁵Department of Physics, Lancaster University, Lancaster, United Kingdom

,

S. Tong

⁷Neural Engineering Lab, Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, China

› Author Affiliations

Abstract

Keywords

Gabor transform - Morlet wavelet transform - Wigner-Ville distribution - matching pursuit - Hilbert-Huang transform

Full Text

References

References
1 Wacker M, Witte H. Time-frequency techniques in biomedical signal analysis: A tutorial review of similarities and differences. Methods Inf Med 2013; 52 (04) 279-296.
2 Blinowska KJ, Durka P J. Unbiased high resolution method of EEG analysis in time-frequency space. Acta Neurobiol Exp 2001; 61: 157-174.
3 Blinowska KJ, Zygierewicz J. Practical Biomedical Signal Analysis Using Matlab. Boca Raton, London, New York: CRC Press; 2011.
4 Zygierewicz J, Blinowska KJ, Durka PJ, Szelenberger W, Niemcewicz S, Androsiuk W. High resolution study of sleep spindles. Clin Neurophys 1999; 110: 2136-2147.
5 Durka PJ, Malinowska U, Szelenberger W, Wakarow A, Blinowska KJ. High resolution parametric description of slow wave sleep. J Neurosc Meth 2005; 147: 15-21.
6 Malinowska U, Klekowicz H, Wakarow A, Niemcewicz S, Durka PJ. Fully parametric sleep staging compatible with the classic criteria. Neuroinf 2009; 7: 245-253.
7 Durka PJ, Matysiak A, Martinez-Montes E, Valdes Sosa P, Blinowska KJ. Multichannel matching pursuit and EEG inverse solutions. Journal of Neuroscience Methods 2005; 148: 49-59.
8 Matysiak A, Durka PJ, Martinez Montes E, Barwinski M, Zwolinski P, Roszkowski M K, Blinowska KJ. Time-frequency-space localization of epileptic EEG oscillations. Acta Neurobiol Exp 2005; 65: 435-442.
9 Jedrzejczak WW, Kwaskiewicz K, Blinowska KJ, Kochanek K, Skarzynski H. Use of Matching Pursuit algorithm with a dictionary of asymmetric waveforms in the analysis of otoacoustic emissions. J Acoust Soc Am 2009; 126: 3137-3146.
10 Cichocki A, Zdunek R, Phan AH, Amari S. Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis. John Wiley; 2009. ISBN: 978-0-470-74666-0 2009.
11 Phan AH, Cichocki A. Tensor decompositions for feature extraction and classification of high dimensional datasets. Nonlinear Theory and Its Applications. IEICE 2010; 1 (01) 37-68.
12 Vialatte FB, Sole-Casals J, Dauwels J, Maurice M, Cichocki A. Bump time-frequency toolbox: A toolbox for time-frequency oscillatory bursts extraction in electrophysiological signals. BMC Neurosci 2009; 10 (01) 46
13 Dauwels J, Weber T, Vialatte F, Musha T, Cichocki A. Quantifying statistical interdependence, Part I-III. Neural Comput 2012; 24 (02) 408-454.
14 Sun J, Tsourakakis CE, Hoke E, Faloutsos C, Eliassi-Rad T. Two heads better than one: pattern discovery in time-evolving multi-aspect data. Data Mining Knowledge Discovery 2008; 17: 111-128. DOI 10.1007/s10618-008-0112-3
15 Boudreaux-Bartels GF. Time-frequency signal processing algorithms: Analysis and synthesis using Wigner distribution (PhD thesis). Rice University. 1983.
16 Hlawatsch F, Boudreaux-Bartels GF. Linear and quadratic time-frequency signal representations. Signal Processing Magazine. IEEE 1992; 9 (02) 21-67.
17 Cohen L. Time-frequency distributions-a review. Proceedings of the IEEE 1989; 77 (07) 941-981.
18 Flandrin P. Time-frequency and time-scale (signal processing). In: Proc. Fourth Annual ASSP Workshop Spectrum Estimation and Modeling. 1988: 77-80.
19 Martin W, Flandrin P. Wigner-Ville spectral analysis of nonstationary processes. Acoustics, Speech and Signal Processing. IEEE Transactions on 1985; 33 (06) 1461-1170.
20 Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q. et al The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time-series analysis. Proceedings of the Royal Society of London 1998; 454: 903-995.
21 Huang NE, Attoh-Okine NO. The Hilbert-Huang Transform in Engineering. Taylor & Francis/CRC. 2005.
22 Mallat SG. A theory for multiresolution signal decomposition: the wavelet representation. Pattern Analysis and Machine Intelligence, IEEE Transactions on 1989; 11 (07) 674-93.
23 Mallat SG, Zhang Z. Matching pursuits with time-frequency dictionaries. Signal Processing, IEEE Transactions on 1993; 41 (12) 3397-3415.
24 Rioul O, Vetterli M. Wavelets and signal processing. Signal Processing Magazine, IEEE 1991; 8 (04) 14-38.
25 Choi H, Williams WJ. Improved time-frequency representation of multicomponent signals using exponential kernels. Acoustics, Speech and Signal Processing, IEEE Transactions on 1989; 37 (06) 862-871.
26 Akay M. editor Time Frequency and Wavelets in Biomedical Signal Processing. Wiley-IEEE Press; 1997.
27 Unser M, Aldroubi A. A review of wavelets in biomedical applications. Proceedings of the IEEE 1996; 84 (04) 626-638.
28 Wacker M, Putsche P, Witte H. Time-variant analysis of linear and non-linear phase couplings of and between frequency components of EEG burst patterns in full-term newborns. In: Proc. Annual Int Engineering in Medicine and Biology Society (EMBC) Conf of the IEEE. 2010: 1706-1709.
29 Aldroubi A, Unser M. Wavelets in Medicine and Biology. Boca Raton, FL, USA: CRC Press; 1996.
30 Chen T, Wang X, Chung S, Metaxas D, Axel L. Automated 3D Motion Tracking Using Gabor Filter Bank, Robust Point Matching, and Deformable Models. Medical Imaging, IEEE Transactions on 2010; 29 (01) 1-11.
31 Buckheit J, Donoho DL. Wavelets and Statistics, chapter Wavelab and reproducible research. Berlin, New York: Springer-Verlag; 1995.
32 Durka PJ. On the methodological unification in electroencephalography. Biomed Eng Online 2005; 4: 15
33 Durka PJ. Matching Pursuit and Unification in EEG analysis. Engineering in Medicine and Biology. Artech House. 2007. ISBN 978-1-58053-304-1
34 Rechtschaffen A, Kales A. editors A manual of standardized terminology, techniques and scoring system for sleep stages in human subjects. Number 204 in National Institutes of Health Publications. US Government Printing Office; Washington DC: 1968.
35 Schwab M, Karrenbach N, Claerbout J. Making scientific computations reproducible. Computing in Science and Engineering 2000; 2 (06) 61-67.
36 Sieluzycki C, König R, Matysiak A, Kus R, Ircha D, Durka PJ. Single-trial evoked brain responses modeled by multivariate matching pursuit. IEEE TransBiomed Eng 2009; 56 (01) 74-82.
37 Studer D, Hoffmann U, Koenig T. From EEG dependency multichannelmatching pursuit to sparse topographic decomposition. J Neurosci Methods 2006; 153 (02) 261-275.
38 Yang F, Liao W. Modeling and decomposition of HRV signals with wavelet transforms. IEEE Engin Med Biol Mag 1997; 16 (04) 17-32.
39 Bračič Lotrič M, Stefanovska A, Štajer D, Urbančič-Rovan V. Spectral components of heart rate variability determined by wavelet analysis. Physiol Meas 2000; 21: 441-457.
40 Bračič M. Stefanovska A. Wavelet based analysis of human blood flow dynamics. Bull Math Biol 1998; 60: 919-935.
41 Thurner S, Feurstein MC, Teich MC. Multiresolution wavelet analysis of heartbeat intervals discriminates healthy patients from those with cardiac pathology. Phys Rev Lett 1998; 80: 1544-1547.
42 Stefanovska A, Bračič M. Physics of the human cardiovascular system. Contemp Phys. 1999; 40: 31-55.
43 Stefanovska A. Coupled oscillators: Complex but not complicated cardiovascular and brain interactions. IEEE Eng Med Biol Mag 2007; 26: 25-29.
44 Effern A, Lehnertz K, Grunwald T, Fernandez G, David P, Elger CE. Time adaptive denoising of single trial event-related potentials in the wavelet domain. Psychophysiol 2000; 27: 959-865.
45 Urbančič-Rovan V, Bernjak A, Stefanovska A, Ažman-Juvan K, Kocijančič A. Macro- and microcirculation in the lower extremities - Possible relationship. Diabetes Res Clin Pract 2006; 73: 166-173.
46 Ažman-Juvan K, Bernjak A, Urbančič-Rovan V, Stefanovska A, Štajer D. Skin blood flow and its oscillatory components in patients with acute myocardial infarction. J Vasc Res 2008; 45: 164-172.
47 Bernjak A, Clarkson PBM, McClintock PVE, Stefanovska A. Low-frequency blood flow oscillations in congestive heart failure and after beta 1-blockade treatment. Microvasc Res 2008; 76: 224-232.
48 Rossi M, Bradbury A, Magagna A, Pesce M, Taddei S, Stefanovska A. Investigation of skin vasoreactivity and blood flow oscillations in hypertensive patients: Effect of short-term antihypertensive treatment. J Hypertens 2011; 29: 1569-1576.
49 Humeau A, Chapeau-Blondeau F, Rousseau D, Rousseau P, Trzepizur W, Abraham P. Multifractality, sample entropy, and wavelet analyses for age-related changes in the peripheral cardiovascular system: Preliminary results. Med Phys 2008; 35 (02) 717-723.
50 Shiogai Y, Stefanovska A, McClintock PVE. Nonlinear dynamics of cardiovascular ageing. Phys Rep 2010; 488: 51-110.
51 Daubechies I, Lu J, Wu H. Synchrosqueezed wavelet transforms: An empirical mode decomposition-like tool. Appl and Comput Harmon Anal 2011; 30: 243-261.
52 Iatsenko D, Bernjak A, Stankovski T, Shiogai Y, Owen-Lynch PJ, Clarkson PBM, McClintock PVE, Stefanovska A. Evolution of cardio-respiratory interactions with age. Philos Trans R Soc London, A 2013; 371 1997 20110622
53 Sheppard LW, Stefanovska A, McClintock PVE. Detecting the harmonics of oscillations with time-variable frequencies. Phys Rev E 2011; 83: 016206
54 Paluš M. Vejmelka M. Directionality of coupling from bivariate time series: how to avoid false causalities and missed connections. Phys Rev E 2007; 75: 056211
55 Le Van Quyen M, Foucher J, Lachaux JP, Rodriguez E, Lutz A, Martinerie J, Varela FJ. Comparison of Hilbert transform and wavelet methods for the analysis of neuronal synchrony. J Neurosci Methods 2001; 111 (02) 83-98.
56 Bandrivskyy A, Bernjak A, McClintock PVE, Stefanovska A. Wavelet phase coherence analysis: application to skin temperature and blood flow. Cardiovasc Engin 2004; 4 (01) 89-93.
57 Sheppard LW, Stefanovska A, McClintock PVE. Testing for time-localized coherence in bivariate data. Phys Rev E 2012; 85: 046205
58 Schäfer C, Rosenblum MG, Kurths J. Heartbeat synchronised with respiration. Nature 1998; 392: 239-240.
59 Stefanovska A, Haken H, McClintock PVE, Hožič M, Bajroviæ F, Ribarič S. Reversible transitions between synchronization states of the cardiorespiratory system. Phys Rev Lett 2000; 85: 4831-4834.
60 Kenwright DA, Bahraminasab A, Stefanovska A, McClintock PVE. The effect of low-frequency oscillations on cardio-respiratory synchronization. Eur Phys J B 2008; 65: 425-433.
61 Tass P, Rosenblum MG, Weule J, Kurths J, Pikovsky AS, Volkmann J, Schnitzler A, Freund H-J. Detection of n:m phase locking from noisy data: Application to magnetoencephalography. Phys Rev Lett 1998; 81: 3291-3294.
62 Rosenblum MG, Pikovsky AS. Detecting direction of coupling in interacting oscillators. Phys Rev E 2001; 64 (04) 045202
63 Paluš M. Stefanovska A. Direction of coupling from phases of interacting oscillators: An information-theoretic approach. Phys Rev E 2003; 67: 055201(R)
64 Jamšek J, Paluš M. Stefanovska A. Detecting couplings between interacting oscillators with time-varying basic frequencies: instantaneous wavelet bispectrum and information theoretic approach. Phys Rev E 2010; 81 (03) 036207
65 Musizza B, Stefanovska A, McClintock PVE, Paluš M, Petrovčič J, Ribarič S, Bajrovič F. Interactions between cardiac, respiratory and EEG-delta oscillations in rats during anæsthesia. J Physiol 2007; 580 (01) 315-326.
66 Kralemann B, Cimponeriu L, Rosenblum M, Pikovsky A, Mrowka R. Phase Dynamics of coupled oscillators reconstructed from data. Phys Rev E 2008; 77: 066205
67 Stankovski T, Duggento A, McClintock PVE, Stefanovska A. Inference of time-evolving coupled dynamical systems in the presence of noise. Phys Rev Lett 2012; 109: 024101
68 Duggento A, Stankovski T, McClintock PVE, Stefanovska A. Dynamical Bayesian inference of time-evolving interactions: From a pair of coupled oscillators to networks of oscillators. Phys Rev E 2012; 86: 061126
69 Durka PJ, Blinowska KJ. Analysis of EEG transients by means of matching pursuit. Ann Biomed Eng 1995; 23 (05) 608-611.
70 Franaszczuk PJ, Bergey GK, Durka PJ, Eisenberg HM. Time-frequency analysis using the matching pursuit algorithm applied to seizures originating from the mesial temporal lobe. Electroencephalogr Clin Neurophysiol 1998; 106 (06) 513-521.
71 Tong S, Li Z, Zhu Y, Thakor NV. Describing the nonstationarity level of neurological signals based on quantifications of time-frequency representation. IEEE Trans Biomed Eng 2007; 54 (10) 1780-1785.