Obtaining single stimulus evoked potentials with wavelet denoising

Physica D: Nonlinear Phenomena

Volumn 145, Issue 3-4, 2000, Pages 278-292

  Quian Quiroga, R ^a  

^a FORSCHUNGSZENTRUM JÜLICH   (Germany)

Author keywords

Denoising; EEG; Evoked potential; Wavelet

Indexed keywords

EID: 0347947869     PISSN: 01672789     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-2789(00)00116-0     Document Type: Article

References (21)

1. E.A. Bartnik, K.J. Blinowska, P.J. Durka, Single evoked potential reconstruction by means of wavelet transform, Biol. Cybernet. 67 (1992) 175-181.
2. E. Başar, EEG-Brain Dynamics. Relation Between EEG and Brain Evoked Potentials, Elsevier, Amsterdam, 1980.
3. O. Bertrand, J. Bohorquez, J. Pernier, Time-frequency digital filtering based on an invertible wavelet transform: an application to evoked potentials, IEEE Trans. Biomed. Eng. 41 (1994) 77-88.
4. C. Chui, An Introduction to Wavelets, Academic Press, San Diego, 1992.
5. A. Cohen, I. Daubechies, J.C. Feauveau, Bi-orthogonal bases of compactly supported wavelets, Comm. Pure Appl. Math. 45 (1992) 485-560.
6. T. Demiralp, A. Ademoglu, M. Schürmann, C. Başar-Eroglu, E. Başar, Detection of P300 waves in single trials by the wavelet transform, Brain and language 66 (1999) 108-128.
7. J.P.C. de Weerd, A posteriori time-varying filtering of averaged evoked potentials. I. Introduction and conceptual basis, Biol. Cybernet. 41 (1981) 211-222.
8. J.P.C. de Weerd, J.I. Kap, A posteriori time-varying filtering of averaged evoked potentials. II. Mathematical and computational aspects, Biol. Cybernet. 41 (1981) 223-234.
9. D. Donoho, De-noising by soft-thresholding, IEEE Trans. Inform. Theory 41 (1995) 613-627.
10. D.J. Doyle, Some comments on the use of Wiener filtering for the estimation of evoked potentials, Electr. Clin. Neurophysiol. 38 (1975) 533-534.
11. A. Grossmann, J. Morlet, SIAM J. Math. Anal. 15 (1984) 723-736.
12. F.H. Lopes da Silva, Event-related potentials: methodology and quantification, in: E. Niedermeyer, F.H. Lopes da Silva (Eds.), Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 3rd Edition, Williams and Wilkins, Baltimore, 1993, pp. 1097-1123.
13. S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Anal. Machine Intell. 2 (7) (1989) 674-693.
14. C.D. McGillem, J.L. Aunon, Measurements of signal components in single visually evoked brain potentials, IEEE Trans. Biomed. Eng. 24 (1977) 232-241.
15. R. Quian Quiroga, E. Başar, M. Schürmann, Phase locking of event-related alpha oscillations, in: K. Lehnertz, C.E. Elger, J. Arnhold, P. Grassberger (Eds.), Chaos in Brain? World Scientific, Singapore, 2000, pp. 301-304.
16. R. Quian Quiroga, M. Schürmann, Clin. Neurophysiol. 110 (1999) 643-655.
17. D. Regan, Human Brain Electrophysiology. Evoked Potentials and Evoked Magnetic Fields in Science and Medicine, Elsevier, Amsterdam, 1989.
18. S.J. Schiff, A. Aldrouby, M. Unser, S. Sato, Fast wavelet transformation of EEG, Electr. Clin. Neurophysiol. 91 (1994) 442-455.
19. D.O. Walter, A posteriori "Wiener filtering" of average evoked responses, Electr. Clin. Neurophysiol. 27 (Suppl.) (1969) 61-70.
20. C.D. Woody, Characterization of an adaptive filter for the analysis of variable latency neuroelectric signals, Med. Biol. Eng. 5 (1967) 539-553.
21. M. Unser, A. Aldroubi, M. Eden, On the asymptotic convergence of B-spline wavelets to Gabor functions, IEEE Trans. Inform. Theory 38 (1992) 864-872.