Denoising based on time-shift PCA

Journal of Neuroscience Methods

Volumn 165, Issue 2, 2007, Pages 297-305

  de Cheveigné, Alain ^a,b   Simon, Jonathan Z ^c,d  

^a UNIVERSITÉ PARIS DESCARTES   (France)

^b ECOLE NORMALE SUPÉRIEURE   (France)

^c UNIVERSITY OF MARYLAND   (United States)

^d Bldg 142   (United States)

Author keywords

Artifact rejection; Artifact removal; Electroencephalography (EEG); Magnetoencephalography (MEG); Noise reduction; Principal component analysis; Regression

Indexed keywords

ALGORITHM; ARTICLE; ARTIFACT REDUCTION; ELECTROENCEPHALOGRAPHY; ENVIRONMENTAL FACTOR; FILTRATION; FINITE IMPULSE RESPONSE; MAGNETOENCEPHALOGRAPHY; NEUROPHYSIOLOGY; NOISE REDUCTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; REGRESSION ANALYSIS; SIGNAL TRANSDUCTION; SIMULATION; SPECTRAL SENSITIVITY; TIME SHIFT PRINCIPAL COMPONENT ANALYSIS;

ALGORITHMS; ARTIFACTS; BRAIN; ELECTROENCEPHALOGRAPHY; ELECTROPHYSIOLOGY; EVOKED POTENTIALS; HUMANS; MAGNETOENCEPHALOGRAPHY; NEUROPHYSIOLOGY; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED; TIME FACTORS;

EID: 34547663323     PISSN: 01650270     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2007.06.003     Document Type: Article

References (38)

1. Adachi Y., Shimogawara M., Higuchi M., Haruta Y., and Ochiai M. Reduction of non-periodic environmental magnetic noise in MEG measurement by continuously adjusted least squares method. IEEE Trans Appl Super 11 (2001) 669-672
2. Ahissar E., Nagarajan S., Ahissar M., Protopapas A., Mahncke H., and Merzenich M.M. Speech comprehension is correlated with temporal response patterns recorded from auditory cortex. Proc Natl Acad Sci (USA) 98 (2001) 13367-13372
3. Ahmar N., and Simon J.Z. MEG adaptive noise suppression using fast LMS. IEEE EMBS Conf Neural Eng (2005) 29-32
4. Allen M.R., and Smith L.A. Optimal filtering in singular spectrum analysis. Phys Lett A 234 (1997) 419-428
5. Baillet S., Mosher J.C., and Leahy R.M. Electromagnetic brain mapping. IEEE Sig Proc Mag 18 (2001) 14-30
6. Barbati G., Porcar C., Zappasodi F., Rossini P.M., and Tecchio F. Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals. Clin Neurophysiol 115 (2004) 1220-1232
7. Chait M., Poeppel D., de Cheveigné A., and Simon J.Z. Human auditory cortical processing of changes in interaural correlation. J Neurosci 25 (2005) 8518-8527
8. de Cheveigné A, Simon JZ. Sensor noise suppression; submitted for publication.
9. Ghil M., Allen M.R., Dettinger M.D., Ide K., Kondrashov D., Mann M.E., et al. Advanced spectral methods for climatic time series. Rev Geophys 40 (2002) 1003 10.1029/2000RG000092
10. Gruber P., Stadlthanner K., Böhm M., Theis F.J., Lang E.W., Tomé A.M., et al. Denoising using local projective subspace methods. Neurocomputing 69 (2006) 1485-1501
11. Hämäläinen M., Hari R., Ilmoniemi P.J., Knuutila J.K., and Lounasmaa O.V. Magnetoencephalography theory, instrumentation, and applications to noninvasive studies of the working human brain. Rev Mod Phys 65 (1993) 413-497
12. Haykin S. Adaptive filter theory (1991), Prentice Hall, Englewood Cliffs, NX
13. He P., Wilson G., and Russell C. Removal of ocular artifacts from electroencephalogram by adaptive filtering. Med Biolog Eng Comp 42 (2004) 407-412
14. Kado H., Higuchi M., Shimogawara M., Haruta Y., Adachi Y., Kawai J., et al. Magnetoencephalogram systems developed at KIT. IEEE Trans Appl Super 9 (1999) 4057-4062
15. Kayser J., and Tenke C.E. Optimizing PCA methodology for ERP component identification and measurement: theoretical rationale and empirical evaluation. Clin Neurophysiol 114 (2003) 2307-2325
16. Kayser J., and Tenke C.E. Principal components analysis of Laplacian waveform as a generic method for identifying ERP generator patterns. I. Evaluation with auditory oddball tasks. Clin Neurophysiol 117 (2006) 348-368
17. Ku W., Storer R.H., and Georgakis C. Disturbance detection and isolation by dynamic principal component analysis. Chemometr Intel Lab Syst 30 (1995) 179-196
18. Makeig S., Bell A.J., Jung T.-P., and Sejnowski T.J. Independent component analysis of electroencephalographic data. In Adv Neur Informat Proc Syst 8 (1996) 145-151
19. Nolte G., and Curio G. The effect of artifact rejection by signal-space projection on source localization accuracy in MEG measurements. IEEE Trans Biomed Eng 46 (1999) 400-408
20. Okada Y., Pratt K., Atwood C., Mascarenas A., Reineman R., Nurminen J., et al. BabySQUID: a mobile, high-resolution multichannel magnetoencephalography system for neonatal brain assessment. Rev Sci Instrum 77 (2006) 024301. http://link.aip.org/link/?RSI/77/024301/1
21. Papanicolaou A.C., Pataraia E., Billingsley-Marshall R., Castillo E.M., Wheless J.W., Swank P., et al. Toward the substitution of invasive electroencephalography in epilepsy surgery. J Clin Neurophysiol 22 (2005) 231-237
22. Parra L.C., Spence C.D., Gerson A.D., and Sajda P. Recipes for the linear analysis of EEG. NeuroImage 28 (2005) 326-341
23. Platzek D., Nowak H., Giessler F., Röther J., and Eiselt M. Active shielding to reduce low frequency disturbances in direct current near biomagnetic measurements. Rev Sci Instrum 70 (1999) 2465-2470
24. Roberts T., Ferrari P., Stufflebean S., and Poeppel D. Latency of the auditory evoked neuro-magnetic field components: stimulus dependence and insights towards perception. J Clin Exp Neuropsychol 17 (2000) 114-129
25. Sander T.H., Wubbeler G., Lueschow A., Curio G., and Trahms L. Cardiac artifact subspace identification and elimination in cognitive MEG data using time-delayed decorrelation. IEEE Trans Biomed Eng 49 (2002) 345-354
26. Sekihara K., Nagarajan S., Poeppel D., and Miyashita Y. Reconstructing spatio-temporal activities of neural sources from magnetoencephalographic data using a vector beam-former. IEEE ICASSP 3 (2001) 2021-2024
27. Sekihara K., Hild K.E., and Nagarajan S.S. A novel adaptive beamformer for MEG source reconstruction effective when large background brain activities exist. IEEE Trans Biomed Eng 53 (2006) 1755-1764
28. Spencer K.M., Dien J., and Donchin E. Spatiotemporal analysis of the late ERP responses to deviant stimuli. Psychophysiology 38 (2001) 343-358
29. Taulu S., Simola J., and Kajola M. Applications of the signal space separation method. IEEE Trans ASSP 53 (2005) 3359-3372
30. Tesche C., Usitalo M.A., Ilmoniemi R.J., Huotilainen M., and Kajola M. Signal-space projections of MEG data characterize both distributed and localized neuronal sources. Electroencephalogr Clin Neurophysiol 95 (1995) 189-200
31. Vautard R., and Ghil M. Singular spectrum analysis in nonlinear dynamics with applications to paleoclimatic time series. Phys D 35 (1989) 395-424
32. Vigário R., Jousmäki V., Hämäläinen M., Hari R., and Oja E. Independent component analysis for identification of artifacts in magnetoencephalographics recordings. Adv Neur Informat Proc Syst 10 (1998) 229-235
33. Volegov P., Matlachov A., Mosher J., Espy M.A., Kraus R.H.J., et al. Noise-free magnetoencephalography recordings of brain function. Phys Med Biol 49 (2004) 2117-2128
34. Vrba J. Multichannel SQUID biomagnetic systems. In: Weinstock H. (Ed). NATO ASI series: E applied sciences 365 (2000), Kluwer Academic Publishers, Dordrecht 61-138
35. Vrba J., and Robinson S.E. Signal processing in magnetoencephalography. Methods 25 (2001) 249-271
36. Woestenburg J.C., Verbaten M.N., and Slangen J.L. The removal of the eye-movement artifact from the EEG by regression analysis in the frequency domain. Biol Psychol 16 (1983) 127-147
37. Xia H., Ben-Amar Baranga A., Hoffman D., and Romalis M.V. Magnetoencephalography with an atomic magnetometer. Appl Phys Lett 89 (2006) 211104 1-3
38. Ziehe A., Müller K.-R., Nolte G., Mackert B.M., and Curio G. Artifact reduction in magnetoneurography based on time-delayed second-order correlations. IEEE Trans Biomed Eng 47 (2000) 75-87