Characterization of focal seizures in scalp electroencephalograms based on energy of signal and time-frequency analysis

Alexander Cerquera, Laura V. Guío, Elías Buitrago, Rafael M. Gutiérrez, Carlos Medina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This work presents a method for characterization of focal seizures from scalp digital electroencephalograms (EEG) obtained in the Central League Against Epilepsy in Bogotá, which were acquired from patients between 13 and 53 years old. This characterization was performed in segments of 500 ms with presence of focal seizures that had been initially identified and labeled by a specialist during their visual examination. After selection of the segments and channels for analysis, the energy of the signals were calculated with the idea that the energy of focal seizures could be larger than the one of their side waves in the segments. This procedure produced peaks of energy corresponding to the seizures and, some times, to noise and artifacts. In order to identify the peaks of energy of the seizures an analysis with continuous wavelet transform was performed. It was found that the mother wavelet 'bior2.2' allowed more easily the identification of such seizures from the seventh scale of the analysis. The method allowed the identification of the 65% of the seizures labeled by the specialist.

Original languageEnglish (US)
Title of host publicationNew Challenges on Bioinspired Applications - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, Proceedings
Pages175-184
Number of pages10
EditionPART 2
DOIs
StatePublished - 2011
Event4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011 - La Palma, Canary Islands, Spain
Duration: May 30 2011Jun 3 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6687 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011
CountrySpain
CityLa Palma, Canary Islands
Period5/30/116/3/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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    Cerquera, A., Guío, L. V., Buitrago, E., Gutiérrez, R. M., & Medina, C. (2011). Characterization of focal seizures in scalp electroencephalograms based on energy of signal and time-frequency analysis. In New Challenges on Bioinspired Applications - 4th International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2011, Proceedings (PART 2 ed., pp. 175-184). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6687 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-21326-7_20