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A comparative study of the performance of different spectral estimation methods for classification of mental tasks

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5 Author(s)
Diez, P.F. ; Departamento de Electrónica y Automática, Facultad de Ingeniería, Universidad Nacional de San Juan, Argentina ; Laciar, E. ; Mut, V. ; Avila, E.
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In this paper we compare three different spectral estimation techniques for the classification of mental tasks. These techniques are the standard periodogram, the Welch periodogram and the Burg method, applied to electroencephalographic (EEG) signals. For each one of these methods we compute two parameters: the mean power and the root mean square (RMS), in various frequency bands. The classification of the mental tasks was conducted with a linear discriminate analysis. The Welch periodogram and the Burg method performed better than the standard periodogram. The use of the RMS allows better classification accuracy than the obtained with the power of EEG signals.

Published in:

Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE

Date of Conference:

20-25 Aug. 2008

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