A novel method for automated classification of epileptiform activity in the human electroencephalogram-based on independent component analysis

Medical and Biological Engineering and Computing

Volumn 46, Issue 3, 2008, Pages 263-272

  De Lucia, Marzia ^a   Fritschy, Juan ^a   Dayan, Peter ^b   Holder, David S ^b  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Automatic classification; Electroencephalogram; Epileptiform events; Eye blinks artefacts; Independent component analysis

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; WAVEFORM ANALYSIS;

AUTOMATED CLASSIFICATION; EPILEPTIFORM ACTIVITY; EYE-BLINKS ARTEFACTS;

ELECTROENCEPHALOGRAPHY;

ARTICLE; ARTIFACT REDUCTION; AUTOMATION; CLASSIFICATION ALGORITHM; CLASSIFIER; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; ELECTROENCEPHALOGRAPHY; EPILEPTIC DISCHARGE; EYELID REFLEX; INDEPENDENT COMPONENT ANALYSIS; INTERMETHOD COMPARISON; PRINCIPAL COMPONENT ANALYSIS; SENSITIVITY AND SPECIFICITY; VALIDATION PROCESS;

ALGORITHMS; ARTIFACTS; BLINKING; BRAIN; DATA INTERPRETATION, STATISTICAL; ELECTROENCEPHALOGRAPHY; EPILEPSY; HUMANS; PRINCIPAL COMPONENT ANALYSIS; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 39649111539     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-007-0289-4     Document Type: Article

References (43)

1. Acir N, Guzelis C (2004) Automatic spike detection in EEG by two-stage procedure based on support vector machine. Comput Biol Med 34:561-575
2. Barbati G, Porcaro C, Zappasodi F, Rossini PM, Tecchio F (2004) Optimization of an independent component analysis approach for artefact identification and removal in magnetoencephalographic signals. Clin Neurophysiol 115:1220-1232
3. Bell A, Sejnowski T (1995) An information-maximization approach to blind separaton and blind deconvolution. Neural Comput 7:1129-1159
4. Bell AJ, Sejnowski TJ (1996) Learning the higher-order structure of a natural sound. Netw Comput Neural Syst 7:261-266
5. Binnie CD, Holder DS (1999) Electroencephalography. In: Vinken PJ, Bruyn GW (eds) Handbook of clinical neurology. Amsterdam
6. Calhoun VD, Adali T, Pearlson GD, Pekar JJ (2001) Spatial and temporal independent component analysis of functional MRI containing a pair of task-related waveforms. Hum Brain Map 13:43-53
7. De Lucia M, Fritschy J, Dayan P, Holder DS (2006) The classification of spikes in EEG recordings using features derived from ICA. In: IET 3rd international conference MEDSIP 2006. Advances in Medical, Signal and Information Processing, issue 520, p. 39
8. Diambra L, Malta P (1999) Nonlinear models for detecting epileptic spikes. Phys Rev E 59(1):929-937
9. Dumermuth G (1977) Fundamentals of spectral analysis in electroencephalography. In: A.Rèmond (ed), EEG informatics. A didactic review of methods and applications of EEG data processing. Elsevier, Amsterdam, pp 83-105
10. Faure C (1985) Attributed strings for recognition of epileptic transients in EEG. Int J Biomed Comput 16:217-229
11. Franaszczuk PJ, Bergey GK (1999) An autoregressive method for the measurement of synchronization of interictal and ictal EEG signals. Biol Cybern 81:3-9
12. Fritschy J, Horesh L, Holder DS, Bayford RH (2005) Using the GRID to improve the computation speed of electrical impedance tomography (EIT) reconstruction algorithms. Physiol Meas 26(2):209-215
13. Fritschy J, Horesh L, Holder DS, Bayford RH (2005) Applications of GRID in clinical neurophysiology and electrical impedance tomography of brain function. Stud Health Technol Inform 112:138-145
14. Goelz H, Jones RD, Bones PJ (2000) Wavelet analysis of transient biomedical signals and its application to detection of epileptiform activity in the EEG. Clin Electroencephalogr 31:181-191
15. Gotman J, Gloor P (1976) Automatic recognition and quantification of interictal epileptic activity in the human scalp EEG. Electroenceph clin Neurophysiol 41:513-529
16. Gotman J, Ives JR, Gloor P (1979) Automatic recognition of interictal epileptic activity in prolonged EEG recordings. Electroenceph clin Neurophysiol 46:510-520
17. Hastie T, Tibshirani R, Friedman J (2001) The elements of Statistical Learning: Data Mining, Inference and Prediction. Springer Series in Statistics
18. Hughes JR (1994) EEG in clinical practice, 2nd edn. Butterworth-Heinemann, Newton, MAJR. Hughes EEG in Clinical Practice
19. Hyvarinen A (1999) Survey on independent component analysis. Neural Comput Surv 2:94-128
20. Hyvarinen A (1999) Fast and robust fixed-point algorithms for independent component analysis. IEEE Trans Neural Netw 10 (3):626-634
21. Hyvarinen A, Oja E (1997) A fast fixed-point algorithm for independent component analysis. Neural Comput 9(7):1483-1492
22. Hyvarinen A, Oja E (2000) Independent component analysis: Algorithms and applications. Neural Netw 13:411-430
23. Jasper H (1958) The ten-twenty electrode system of the international federation. Electroencephalogr Clin Neurophysiol 10:371-375
24. Jung T, Makeig S, Mckeown MJ, Bell AJ, Lee T, Sejnowski TJ (2001) Imaging brain dynamics using independent component analysis. Proc IEEE 89(7):1107-1122
25. Kalayci T, Ozdamar O (1995) Wavelet preprocessing for automated neural network detection of EEG spikes. IEEE Eng Med Biol Mag 14(2):160-166
26. Kobayashi K, Akiyama T, Nakahori T (2002a) Systematic source estimation of spikes by a combination of independent component analysis and RAP-MUSIC. I: Principles and simulation study. Clin Neurophysiol 113:713-724
27. Kobayashi K, Akiyama T, Nakahori T (2002b) Systematic source estimation of spikes by a combination of independent component analysis and RAP-MUSIC. II: Preliminary clinical application. Clin Neurophysiol 113:725-734
28. Kobayashi K, James C, Nakahori T, Akiyama T, Gotman J (1999) Isolation of epileptiform discharges from unaveraged EEG by independent component analysis. Clin Neurophysiol 110(10):1755-1763
29. Latka M, Was Z, Kozik A, West B (2003) Wavelet Analysis of epileptic spikes. Phys Rev E 67:052902
30. McKeown MJ, Brown GG, Jung TP, Kindermann SS, Bell AJ, Sejnowski TJ (1998) Analysis of fMRI data by blind separation into independent spatial components. Hum Brain Mapp 6:160-188
31. McKeown MJ, Jung TP, Makeig S, Brown G, Kindermann SS, Lee TW, Sejnowski TJ (1998) Spatially independent activity pattern in functional MRI data during the stroop color-naming task. Proc Natl Acad Sci USA 95:803-810
32. Ossadtchi A, Baillet S, Moscher JC, Thyerlei D, Sutherling W, Leahy RM (2004) Automated interictal spike detection and source localization in magnetoencephalography using independent components analysis and spatio-temporal clustering. Clin Neurophysiol 115(3):508-522
33. Ozdamar O, Kalayci T (1998) Detection of spikes with artificial neural networks using raw EEG. Comput Biomed Res 31:122-142
34. Pham D-T, Garrat P, Jutten C (1992) Separation of a mixture of independent sources through a maximum likelihood approach. In: Proceedings of EUSIPCO, pp 771-774
35. Ramabhadran B, Frost JD Jr, Glover JR, Ktonas PY (1999) An automated system for epileptogenic focus localization in the electroencephalogram. J Clin Neurophysiol 16:59-68
36. Schlesinger MI, Hlavàc V (2002) Ten lectures on statistical and structural pattern recognition. Kluwer, Dordrecht
37. Shoker L, Sanei S, Wang W, Chambers JA (2005) Removal of eyey blinking artifact from the electro-encephalogram, incorporating a new constrained blind source separation algorithm. Med Biol Eng Comput 43:290-295
38. Vigario RN (1997) Extraction of ocular artefacts from EEG using independent component analysis. Electroencephal Clin Neurophysiol 103:395-404
39. Vigario R, Jousmaki V, Hamalainen M, Hari R, Oja E (1998) Independent component analysis for identification of artefacts in magnetoencephalographic recordings. Adv Neural Inf Process Syst 10:229-235
40. Webber WR, Litt B, Wilson K, Lesser RP (1994) Practical detection of epileptiform discharge (EDs) in the EEG using an artificial neural network: A comparison of raw and parameterized EEG data. Electroencephalogr Clin Neurophysiol 91(3):194-204
41. Wilson SB, Emerson R (2002) Spike detection: A review and comparison of algorithms. Clin Neurophysiol 113:1873-1881
42. Wilson SB, Scheuer ML, Emerson RG, Gabor AJ (2004) Seizure detection: evaluation of the Reveal algorithm. Clin Neurophysiol 115(10):2280-2291
43. Wilson SB, Turner CA, Emerson RG, Scheuer ML (1999) Spike detection II: automatic, perception-based detection and clustering. Clin Neurophysiol 110:404-411