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...
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_07395175_v16_n1_p64_Blanco |
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todo:paper_07395175_v16_n1_p64_Blanco2023-10-03T15:38:03Z Applying time-frequency analysis to seizure EEG activity Blanco, S. Kochen, S. Rosso, O.A. Salgado, P. Epileptic seizure Epileptiform activity Gabor transform Brain Frequency domain analysis Natural frequencies Signal processing Time series analysis Electroencephalography algorithm alpha rhythm article case report electroencephalography fourier transformation frequency analysis human power spectrum seizure theta rhythm time Algorithms Alpha Rhythm Amygdala Beta Rhythm Biomedical Engineering Delta Rhythm Electrodes, Implanted Electroencephalography Epilepsy Fourier Analysis Gyrus Cinguli Hippocampus Humans Male Signal Processing, Computer-Assisted Theta Rhythm 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. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_07395175_v16_n1_p64_Blanco |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| topic |
Epileptic seizure Epileptiform activity Gabor transform Brain Frequency domain analysis Natural frequencies Signal processing Time series analysis Electroencephalography algorithm alpha rhythm article case report electroencephalography fourier transformation frequency analysis human power spectrum seizure theta rhythm time Algorithms Alpha Rhythm Amygdala Beta Rhythm Biomedical Engineering Delta Rhythm Electrodes, Implanted Electroencephalography Epilepsy Fourier Analysis Gyrus Cinguli Hippocampus Humans Male Signal Processing, Computer-Assisted Theta Rhythm |
| spellingShingle |
Epileptic seizure Epileptiform activity Gabor transform Brain Frequency domain analysis Natural frequencies Signal processing Time series analysis Electroencephalography algorithm alpha rhythm article case report electroencephalography fourier transformation frequency analysis human power spectrum seizure theta rhythm time Algorithms Alpha Rhythm Amygdala Beta Rhythm Biomedical Engineering Delta Rhythm Electrodes, Implanted Electroencephalography Epilepsy Fourier Analysis Gyrus Cinguli Hippocampus Humans Male Signal Processing, Computer-Assisted Theta Rhythm Blanco, S. Kochen, S. Rosso, O.A. Salgado, P. Applying time-frequency analysis to seizure EEG activity |
| topic_facet |
Epileptic seizure Epileptiform activity Gabor transform Brain Frequency domain analysis Natural frequencies Signal processing Time series analysis Electroencephalography algorithm alpha rhythm article case report electroencephalography fourier transformation frequency analysis human power spectrum seizure theta rhythm time Algorithms Alpha Rhythm Amygdala Beta Rhythm Biomedical Engineering Delta Rhythm Electrodes, Implanted Electroencephalography Epilepsy Fourier Analysis Gyrus Cinguli Hippocampus Humans Male Signal Processing, Computer-Assisted Theta Rhythm |
| description |
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. |
| format |
JOUR |
| author |
Blanco, S. Kochen, S. Rosso, O.A. Salgado, P. |
| author_facet |
Blanco, S. Kochen, S. Rosso, O.A. Salgado, P. |
| author_sort |
Blanco, S. |
| title |
Applying time-frequency analysis to seizure EEG activity |
| title_short |
Applying time-frequency analysis to seizure EEG activity |
| title_full |
Applying time-frequency analysis to seizure EEG activity |
| title_fullStr |
Applying time-frequency analysis to seizure EEG activity |
| title_full_unstemmed |
Applying time-frequency analysis to seizure EEG activity |
| title_sort |
applying time-frequency analysis to seizure eeg activity |
| url |
http://hdl.handle.net/20.500.12110/paper_07395175_v16_n1_p64_Blanco |
| work_keys_str_mv |
AT blancos applyingtimefrequencyanalysistoseizureeegactivity AT kochens applyingtimefrequencyanalysistoseizureeegactivity AT rossooa applyingtimefrequencyanalysistoseizureeegactivity AT salgadop applyingtimefrequencyanalysistoseizureeegactivity |
| _version_ |
1782031082085941248 |