The application of particle filters in single trial event-related potential estimation

Physiological Measurement

Volumn 30, Issue 10, 2009, Pages 1101-1116

  Mohseni, Hamid R ^a,b   Nazarpour, Kianoush ^a,c   Wilding, Edward L ^b   Sanei, Saeid ^a  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

^c UNIVERSITY OF BIRMINGHAM   (United Kingdom)

Author keywords

Event related potentials; Kalman filtering; Particle filtering; Single trial estimation

Indexed keywords

ELECTROENCEPHALOGRAPHY; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); MONTE CARLO METHODS; WHITE NOISE;

EVENT RELATED POTENTIALS; GAUSSIAN WHITE NOISE; KALMAN-FILTERING; MEAN SQUARE ESTIMATION; PARTICLE FILTER; PARTICLE FILTERING; POTENTIAL ESTIMATION; RECURSIVE BAYESIAN MEAN SQUARE; SINGLE TRIAL; SINGLE-TRIAL ESTIMATION;

KALMAN FILTERS;

ARTICLE; BAYES THEOREM; CONTROLLED STUDY; ELECTROENCEPHALOGRAM; ELECTROENCEPHALOGRAPHY; EVENT RELATED POTENTIAL; FILTRATION; LATENT PERIOD; NEUROPHYSIOLOGY; NORMAL DISTRIBUTION; PERFORMANCE MEASUREMENT SYSTEM; PRIORITY JOURNAL; SIGNAL PROCESSING; SIMULATION; WHITE NOISE;

EID: 70350463549     PISSN: 09673334     EISSN: 13616579     Source Type: Journal    
DOI: 10.1088/0967-3334/30/10/010     Document Type: Article

References (34)

1. Arulampalam M S, Maskell S, Gordon N and Clapp T 2002 A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking IEEE Trans. Signal. Process. 50 174-88
2. Bagshaw A P and Warbrick T 2007 Single trial variability of EEG and fMRI responses to visual stimuli Neuroimage 38 280-92
3. Bartnik E A, Blinowska K J and Durka P J 1999 Single evoked-potential reconstruction by means of wavelet transform Biol. Cybern. 67 175-81
4. Cerutti S, Bersani V, Carrara A and Liberati D 1983 Analysis of visual evoked potentials through Wiener filtering applied to a small number of sweeps J. Biomed. Eng. 9 3-12
5. de Munck J, Bijma F, Gaura P, Sieluzycki C, Branco M I and Heethaa R 2004 A maximum likelihood estimator for trial-to-trial variations in noisy MEG/EEG data sets IEEE Trans. Biomed. Eng. 51 2123-28
6. Doucet A, Freitas N and Gordon N 2001 Sequential Monte Carlo Methods in Practice (Berlin: Springer)
7. Georgiadis S D, Ranta-aho P O, Tarvainen M P and Karjalainen P A 2005 Single-trial dynamical estimation of event-related potentials: a Kalman filter-based approach IEEE Trans. Biomed. Eng 52 1397-406
8. Haykin S 1996 Adaptive Filter Theory (Englewood Cliffs, NJ: Prentice-Hall)
9. Jansen M 2001 Noise Reduction by Wavelet Thresholding (Lecture Notes in Statistics vol 161) (New York: Springer-Verlag)
10. Jaskowski P and Verleger R 1999 Amplitudes and latencies of single trial ERPs estimated by a maximum likelihood method IEEE Trans. Biomed. Eng. 46 987-93
11. Jongsma M L A, Eichele T, Rijn C M V, Coenen A M L, Hugdahl K, Nordby H and Quiroga R Q 2006 Tracking pattern learning with single-trial event-related potentials Clin. Neurophysiol. 117 1957-73
12. Jung T, Makeig S, Westerfield M, Townsend J, Courchesne E and Sejnowski T J 2001 Analysis and visualization of single-trial event-related potentials Hum. Brain Mapp. 14 166-85
13. Karjalainen P, Kaipio J, Koistinen A and Vauhkonen M 1999 Subspace regularization method for the single trial estimation of evoked potentials IEEE Trans. Biomed. Eng. 46 849-60
14. Kitagawa G 1996 Monte Carlo filter and smoother for non-Gaussian nonlinear state space models J. Comput. Graph. Stat. 5 1-25
15. Lange D H and Inbar G F 1996 A robust parametric estimator for single-trial movement related brain potentials IEEE Trans. Biomed. Eng. 43 341-7
16. Lange D H, Pratt H and Inbar G F 1995 Segmented matched filtering of single event related evoked potentials IEEE Trans. Biomed. Eng. 42 317-21
17. Lange D H, Pratt H and Inbar G F 1997 Modeling and estimation of single evoked brain potential components IEEE Trans. Biomed. Eng. 44 791-9
18. Lemm S, Curio G, Hlushchuk Y and Muller K R 2006 Enhancing the signal-to-noise ratio of ICA-based extracted ERPs IEEE Trans. Biomed. Eng. 53 601-7
19. Liu J S 1996 Metropolized independent sampling with comparison to rejection sampling and importance sampling Stat. Comput. 6 113-9
20. Mallat S 1999 A Wavelet Tour of Signal Processing (New York: Academic)
21. McGillem C D and Aunon J I 1977 Measurement of signal components in single visually evoked brain potentials IEEE Trans. Biomed. Eng 24 232-41
22. Mohseni H, Ghaderi F, Wilding E and Sanei S 2009 A beamforming particle filter for EEG dipole localization Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP)
23. Mohseni H, Wilding E and Sanei S 2007 Pre-processing of event-related potential signals via Kalman filtering and smoothing 15th IEEE Int. Conf. on Digital Signal Processing (DSP) pp 179-82
24. Mohseni H, Wilding E and Sanei S 2008a Sequential Monte Carlo techniques for eeg dipole placing and tracking Proc. 5th IEEE Sensor Array and Multichannel Signal Process. Workshop (SAM)
25. Mohseni H, Wilding E and Sanei S 2008b Single trial estimation of event-related potentials using particle filtering Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP) pp 465-68
26. Pham D T, Mcks J, Khler W and Gasser T 1987 Variable latencies of noisy signals: estimation and testing in brain potential data Biometrika 74 525-33
27. Polikara R, Topalisa A, Greenb D, Kouniosb J and Clarkc C M 2007 Comparative multiresolution wavelet analysis of erp spectral bands using an ensemble of classifiers approach for early diagnosis of alzheimer's disease Comput. Biol. Med. 37 542-58
28. Quiroga R Q and Garcia H 2003 Single-trial event-related potentials with wavelet denoising Clin. Neurophysiol. 114 376-290
29. Ranta-aho P O, Koistinen A S, Ollikainen J O, Kaipio J P, Partanen J and Karjalainen P A 2003 Single-trial estimation of multichannel evoked-potential measurements IEEE Trans. Biomed. Eng. 50 189-96
30. Rugg M D and Coles M G H 1995 Electrophysiology of Mind (Oxford: Oxford Science Publications)
31. Sanei S and Chambers J 2007 EEG Signal Processing (New York: Wiley)
32. Spreckelsen M V and Bromm B 1988 Estimation of single-evoked cerebral potentials by means of parametric modeling and Kalman filtering IEEE Trans. Biomed. Eng 35 691-700
33. Truccolo W A, Knuth K H, Shah A, Bressler S L, Schroeder C E and Ding M 2003 Estimation of single-trial multicomponent ERPs: differentially variable component analysis (dVCA) Biol. Cybern. 89 426-38
34. Xu L, Stoica P, Li J, Bressler S L, Shao X and Ding M 2009 ASEO: a method for the simultaneous estimation of single-trial event-related potentials and ongoing brain activities IEEE Trans. Biomed. Eng. 56 111-21