Applying time-frequency analysis to seizure EEG activity

This paper applies the method of fast Fourier transform based on the Gabor transform for the simultaneous treatment in the time-frequency space of electroencephalographic (EEG) signals. This method can be used to analyze the time evolution of the traditional frequency rhythm of an EEG signal and can...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autor principal: Blanco, S.
Otros Autores: Kochen, S., Rosso, O.A, Salgado, P.
Formato: Capítulo de libro
Lenguaje:Inglés
Publicado: 1997
Acceso en línea:Registro en Scopus
DOI
Handle
Registro en la Biblioteca Digital
Aporte de:Registro referencial: Solicitar el recurso aquí
LEADER 06560caa a22009977a 4500
001 PAPER-20129
003 AR-BaUEN
005 20230518205132.0
008 190411s1997 xx ||||fo|||| 00| 0 eng|d
024 7 |2 scopus  |a 2-s2.0-0031022201 
040 |a Scopus  |b spa  |c AR-BaUEN  |d AR-BaUEN 
030 |a IEMBD 
100 1 |a Blanco, S. 
245 1 0 |a Applying time-frequency analysis to seizure EEG activity 
260 |c 1997 
270 1 0 |m Blanco, S.; Instituto de Calculo, Pabellon II, Universidad de Buenos Aires, 1428 Buenos Aires, Argentina 
506 |2 openaire  |e Política editorial 
504 |a Gevins, A.S., (1987) Handbook of Electroencephalography and Clinical Neurophysiology, Vol. I: Methods of Analysis of Brain Electrical and Magnetic Signals, 1, pp. 31-83. , edited by A. Gevins and A. Rémond Elsevier, Amsterdam 
504 |a Dumermuth, G., Molinari, L., (1987) Handbook of Electroencephalography and Clinical Neurophysiology, Vol. I: Methods of Analysis of Brain Electrical and Magnetic Signals, 1, pp. 85-130. , edited by A. Gevins and A. Rémond Elsevier, Amsterdam 
504 |a Gotman, J., (1986) Handbook of Electroencephalography and Clinical Neurophysiology, Vol. II: Clinical Applications of Computer Analysis of EEG and Other Neurophysiological Signals, 2, pp. 685-732. , edited by F.H. Lopes da Silva, Storm van Leeuwen and A. Rémond Elsevier, Amsterdam 
504 |a Lopes Da Silva, F.H., (1987) Electroencephalography, Basic Principles, Clinical Applications, and Related Field, pp. 871-897. , edited by E. Niedermeyer and F.H. Lopes da Silva Urban and Schwarzenberg, Baltimore 
504 |a Gotman, J., (1990) Current Practice of Clinical Electroencephalography, pp. 51-83. , edited by D.D. Daly and T.A. Pedley, 2nd ed. Reven Press Ltd., New York 
504 |a Blanco, S., García, H., Quian Quiroga, R., Romanelli, L., Rosso, O.A., Stationary of the EEG series (1995) IEEE Eng. in Med. and Biol., 14, p. 395 
504 |a Blanco, S., Quian Quiroga, R., Rosso, O.A., Kochen, S., Time-frequency analysis of electroencephalogram series (1995) Phys. Rev. E, 51 
504 |a Gabor, D., Theory of communication (1946) J. Inst. Elec. Eng., 93, pp. 429-459 
504 |a Blanco, S., D'Attellis, Isaacson, S., Rosso, O.A., Sirne, R., (1995) Time-frequency Analysis of Electroencephalogram Series (II): Gabor and Wavelets Transform, , to be published 
520 3 |a This paper applies the method of fast Fourier transform based on the Gabor transform for the simultaneous treatment in the time-frequency space of electroencephalographic (EEG) signals. This method can be used to analyze the time evolution of the traditional frequency rhythm of an EEG signal and can visualize the frequency-band behavior during epileptic seizure. The linear correlation between the obtained frequency evolution series can be used to obtain information about the interaction and, consequently, the causality between EFG signals from different regions of the brain and the frequency bands in other regions. The systematic calculation of these correlation can be a valuable tool for the identification of the epileptic focus, as well as for the study of seizure dynamics.  |l eng 
536 |a Detalles de la financiación: Universidad de Buenos Aires 
536 |a Detalles de la financiación: This work was supported by the Con-sejo Nacional de Investigaciones Cientifi-cas y Tecnicas (CONICET) and University of Buenos Aires, Argentina. Two of us (O.A.R. and S.B.) undertook this work with the support of Fundac6n Albert0 J. Roemmers (Argentina). The comments of two anonymous reviewers were responsible for a significant im- provement in the manuscript. We are thankful to Dr. F.H. Lopes da Silva, Dr. J. P. N. Pijn, Lic. L. Riquelme and Lic. R. Quian Quiroga for stimulating and useful discussions. 
593 |a Instituto de Calcula, Universidad de Buenos Aires, Ciudad Universitaria, Argentina 
593 |a Centro Municipal de Epilepsia, Division Neurologia, Universidad de Buenos Aires, Argentina 
593 |a University of Buenos Aires, Argentina 
593 |a Scientific Research Center, National Research Council, Argentina 
593 |a University of Buenos Aires, Argentina 
593 |a University of Plata, Argentina 
593 |a Forschungzentrum Jülich GmbH, Jülich, Germany 
593 |a Sezione di Cinematogr. Scientifica, Bologna, Italy 
593 |a Instituto de Cálculo, Universidad de Buenos Aires, Ciudad Universitaria, 1428 Buenos Aires, Argentina 
690 1 0 |a EPILEPTIC SEIZURE 
690 1 0 |a EPILEPTIFORM ACTIVITY 
690 1 0 |a GABOR TRANSFORM 
690 1 0 |a BRAIN 
690 1 0 |a FREQUENCY DOMAIN ANALYSIS 
690 1 0 |a NATURAL FREQUENCIES 
690 1 0 |a SIGNAL PROCESSING 
690 1 0 |a TIME SERIES ANALYSIS 
690 1 0 |a ELECTROENCEPHALOGRAPHY 
690 1 0 |a ALGORITHM 
690 1 0 |a ALPHA RHYTHM 
690 1 0 |a ARTICLE 
690 1 0 |a CASE REPORT 
690 1 0 |a ELECTROENCEPHALOGRAPHY 
690 1 0 |a FOURIER TRANSFORMATION 
690 1 0 |a FREQUENCY ANALYSIS 
690 1 0 |a HUMAN 
690 1 0 |a POWER SPECTRUM 
690 1 0 |a SEIZURE 
690 1 0 |a THETA RHYTHM 
690 1 0 |a TIME 
690 1 0 |a ALGORITHMS 
690 1 0 |a ALPHA RHYTHM 
690 1 0 |a AMYGDALA 
690 1 0 |a BETA RHYTHM 
690 1 0 |a BIOMEDICAL ENGINEERING 
690 1 0 |a DELTA RHYTHM 
690 1 0 |a ELECTRODES, IMPLANTED 
690 1 0 |a ELECTROENCEPHALOGRAPHY 
690 1 0 |a EPILEPSY 
690 1 0 |a FOURIER ANALYSIS 
690 1 0 |a GYRUS CINGULI 
690 1 0 |a HIPPOCAMPUS 
690 1 0 |a HUMANS 
690 1 0 |a MALE 
690 1 0 |a SIGNAL PROCESSING, COMPUTER-ASSISTED 
690 1 0 |a THETA RHYTHM 
700 1 |a Kochen, S. 
700 1 |a Rosso, O.A. 
700 1 |a Salgado, P. 
773 0 |d 1997  |g v. 16  |h pp. 64-71  |k n. 1  |p IEEE ENG. MED. BIOL. MAG.  |x 07395175  |w (AR-BaUEN)CENRE-4979  |t IEEE Engineering in Medicine and Biology Magazine 
856 4 1 |u https://www.scopus.com/inward/record.uri?eid=2-s2.0-0031022201&doi=10.1109%2f51.566156&partnerID=40&md5=2d500c9787952b3d2b1d8f86ba7d625a  |y Registro en Scopus 
856 4 0 |u https://doi.org/10.1109/51.566156  |y DOI 
856 4 0 |u https://hdl.handle.net/20.500.12110/paper_07395175_v16_n1_p64_Blanco  |y Handle 
856 4 0 |u https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_07395175_v16_n1_p64_Blanco  |y Registro en la Biblioteca Digital 
961 |a paper_07395175_v16_n1_p64_Blanco  |b paper  |c PE 
962 |a info:eu-repo/semantics/article  |a info:ar-repo/semantics/artículo  |b info:eu-repo/semantics/publishedVersion 
999 |c 81082