Application of matched-filtering to extract EEG features and decouple signal contributions from multiple seizure foci in brain malformations

2009 4th International IEEE/EMBS Conference on Neural Engineering, NER '09

Volumn , Issue , 2009, Pages 514-517

  Stamoulis, Catherine ^a   Chang, Bernard S ^a  

^a HARVARD MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN MALFORMATION; EEG SIGNALS; EPILEPTOGENIC FOCI; INTER-ARRIVAL TIME; MATCHED FILTERING; MULTIFOCAL; SIGNAL COMPONENTS; SIGNAL CONTRIBUTION; SIGNAL POLARITY; SURGICAL INTERVENTIONS; TEMPLATE WAVEFORM;

ELECTROENCEPHALOGRAPHY; FEATURE EXTRACTION;

SIGNAL PROCESSING;

EID: 70350241429     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NER.2009.5109346     Document Type: Conference Paper

References (16)

1. A.J. Bell, T.J. Sejnowski, An information-maximization approach to blind separation and blind deconvolution, Neural Computation, 7:1129-1159, 1995.
2. A.C.Grant, J.M. Rho, Ictal Patterns in Band Heterotopia, Epilepsia, 43(4): 403-407, 2002.
3. R. Guerrini, Genetic Malformations of the Cerebral Cortex and Epilepsy, Epilepsia, 46(Suppl.1):32-37, 2005.
4. B.U.Kohler, R.Orglmeister, B.Breihmeier-Flick, Blind source separation of EEG data using matched filters, Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 20(4): 2038-2041, 1998.
5. J.C. Larroche, Malformations of the Nervous System, in J.H Adams, J.A.N Corsellis, L.W Duchen, Eds. Greenfield's Neuropathology, 4th Edition John Wiley, New York, 385-450, 1984.
6. W.De Clercq, A. Vergult, B. Vanrumste, W. Van Paesschen, S. Van Huffel, Canonical Correlation Analysis Applied to Remove Muscle Artifacts from the Electroencephalogram, IEEE, Trans. Biomed. Eng., 53(12): 2583-2587, 2006.
7. E. Niedermeyer, F.H. Lopes da Silva Eds., Electroencephalography: Basic Principles, Clinical Applications and Related Fields, 5th Edition, Lippincott, Williams & Wilkins, 2004.
8. F.H. Lopes da Silva, W. ten Brocke, K. van Hulten, EEG non-stationarities detected by inverse filtering in scalp and cortical recordings of epileptics statistical analysis, in Quantitative Analytic Studies in Epilepsy, P. Kellayway and I. Petersen, Eds., Raven Press, New York, 375-387, 1976.
9. J.M. O Toole, M. Mesbah, B. Boashash and P. Colditz, A new neonatal seizure detection technique based on the Time-Frequency Characteristics Of The EEG, Proceedings of the IEEE 9th International Symposium on Signal Processing and its Applications, p. 1-4, 2007.
10. A. Palmini., P. Gambardella, F. Andermann, F. Dubeau, J.C. Costa, A. Olivier, D. Tampieri, P. Gloor, F. Quesney, E., Andermann, Intrinsic epileptogenicity of human dysplastic cortex as suggested by corticography and surgical results, Ann Neurol 37, 476-487, 1995.
11. T. Ping, S. Makeig, C. Humphries, T.W. Lee, M.McKeown, V. Iragni, T. Sejnowski, Removing encephalographic artifacts by blind source separation, Phychophysiology, 37: 163-178, 2000.
12. B. Saltzberg, H. Lustick, R.G. Heath, Detection of Focal Depth Spiking in the Scalp EEG of Monkeys, Electroencephalog. Clin. Neurophysiol., Vol. 31, 327-333, 1971.
13. L. Shoker, S. Sanei, J. Chambers, A hybrid algorithm for removal of eye blinking artifacts from EEG, 13th Workshop on Statistical Signal Processing, 1014-1017, 2005.
14. C. Stamoulis, Estimation of fundamental modes of brain oscillations, IEEE Transactions in Signal Processing, submitted.
15. L. Tyvaert, C. Hawco, E. Kobayashi, P. LeVan, F. Dubeau, J. Gotman, Different structures involved during ictal and inter-ictal epileptic activity in malformations of cortical development: an EEG-fMRI study, Brain, 131, 2042-2060, 2008.
16. W. Zhou, J. Gotman, Removing eye-movement artifacts from EEG during the intracarotid amobarbital procedure, Epilepsia, 46(3): 409-414, 2005.