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.
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References
Fisch, B.: Fisch and Spehlman‘s EEG primer: Basic principles of digital and analog EEG, 3rd edn., pp. 237–240. Elsevier, Amsterdam (1999)
Halford, J.J.: Computerized epileptiform transient detection in the scalp electroencephalogram: Obstacles to progress and the example of computerized ECG interpretation. Clinical Neurophysiology 120, 1909–1915 (2009)
Henriksen, J., Remvig, L.S., Madsen, R.E., Conradsen, I., Kjaer, T.W., Thomsen, C.E., Sorensen, H.B.D.: Automatic seizure detection: going from sEEG to iEEG. In: 32nd Annual International Conference of the IEEE EMBS, Buenos Aires, Argentina, August 31 - September 4, pp. 2431–2434 (2010)
Jasper, H.H.: The ten-twenty electrode system of the International Federation. Electroencephalogr. Clin. Neurophysiol. 10, 371–375 (1958)
Mertins, A.: Signal analysis: wavelets, filter banks, time-frequency transforms and applications, pp. 210–213. John Wiley & Sons Ltd., England (1999)
Mitra, S.K.: Digital Signal Processing: A Computer-Based Approach, 2nd edn., pp. 52–53. McGraw-Hill, New York (2001)
Niedermeyer, E., Lopes da Silva, F.: Electroencephalography: basic principles, clinical applications, and related fields, 5th edn. Lippincott/Williams & Wilkins, Philadelphia, PA (2005)
Teknomo, K.: Tutorial of normalization methods (2006), http://people.revoledu.com/kardi/tutorial/Similarity/Normalization.html
Van Hese, P., Vanrumste, B., Hallez, H., Carroll, G.J., Vonck, K., Jones, R.D., Bones, P.J., D‘Asseler, Y., Lemahieu, I.: Detection of focal epileptiform events in the EEG by spatio-temporal dipole clustering. Clinical Neurophysiology 119, 1756–1770 (2008)
Van Hoey, G., Vanrumste, B., Van de Walle, R., Boon, P., Lemahieu, I., D‘Havé, M., Vonck, K.: Detection and localization of epileptic brain activity using an artificial neural network for dipole source analysis. In: Proceedings of the EUSIPCO 2000 Conference, Tampere, Finland, September 5-8 (2000)
Vanrumste, B., Jones, R.D., Bones, P.J., Carroll, G.J.: Background Activity Originating from Same Area as Epileptiform Events in the EEG of Paediatric Patients with Focal Epilepsy. In: Proceedings of the 26th Annual International Conference of the IEEE EMBS, San Francisco, CA, USA, September 1-5 (2004)
Vanrumste, B., Jones, R.D., Bones, P.J., Carroll, G.J.: Singular Value Decomposition and Dipole Modelling applied to Observe Background Activity Originating from the Same Area as Epileptiform Events in the EEG of Paediatric Patients with Focal Epilepsy. In: Proceedings of the 2nd International Conference on Advances in Biomedical Signal and Information Processing (MEDSIP 2004), Valleta, Malta, September 2004, pp. 92–98 (2004)
Web page of the World Health Organization. Fact sheet No 999, http://www.who.int/mediacentre/factsheets/fs999/en/index.html
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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: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) New Challenges on Bioinspired Applications. IWINAC 2011. Lecture Notes in Computer Science, vol 6687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21326-7_20
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DOI: https://doi.org/10.1007/978-3-642-21326-7_20
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