Estimación dinámica neuronal a partir de señales electroencefalográficas sobre un modelo realista de la cabeza

  • Eduardo Giraldo Universidad Tecnológica de Pereira
  • Carlos D. Acosta Universidad de Colombia sede Manizales
  • Germán Castellanos-Domínguez Universidad Nacional de Colombia sede Manizales
Keywords: Electroencephalogram, finite bounded elements, inverse problem, neural activity, physiological model.

Abstract

In this paper is presented a method for neural activity estimation over the brain that take into account, for the solution of the inverse problem, a dynamic model for the neural activity in a realistic head model calculated with bounded elements method, according to a physiologically based model that describes the real interaction between neurons. The solution of the inverse problem is calculated using high performance computing. This analysis is performed for simulated EEG signals for SNR of 25 dB, 15 dB and 5 dB. The obtained results show the robustness of the estimation method that includes the dynamic model in comparison with the static model for several levels of noise. 

Author Biographies

Eduardo Giraldo, Universidad Tecnológica de Pereira
Programa de Ingeniería Eléctrica, Universidad Tecnológica de Pereira
Carlos D. Acosta, Universidad de Colombia sede Manizales
Facultad de Ciencias Básicas, Departamento de Matemáticas, Universidad Nacional de Colombia sede Manizales
Germán Castellanos-Domínguez, Universidad Nacional de Colombia sede Manizales
Facultad de Ingeniería y Arquitectura, Programa de Ingeniería Electrónica
How to Cite
[1]
E. Giraldo, C. D. Acosta, and G. Castellanos-Domínguez, “Estimación dinámica neuronal a partir de señales electroencefalográficas sobre un modelo realista de la cabeza”, TecnoL., no. 25, pp. 151-167, Dec. 2010.

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Published
2010-12-15
Section
Articles

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