Please use this identifier to cite or link to this item: https://doi.org/10.1109/BIBE.2013.6701531
Title: Spatio-spectral analysis of ECoG signals during voice activity
Authors: Kanas, V.G.
Mporas, I.
Benz, H.L.
Sgarbas, K.N.
Crone, N.E.
Bezerianos, A. 
Issue Date: 2013
Citation: Kanas, V.G.,Mporas, I.,Benz, H.L.,Sgarbas, K.N.,Crone, N.E.,Bezerianos, A. (2013). Spatio-spectral analysis of ECoG signals during voice activity. 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013 : -. ScholarBank@NUS Repository. https://doi.org/10.1109/BIBE.2013.6701531
Abstract: In this paper, we perform spatio-spectral analysis of the human cortex with implanted electrocorticographic (ECoG) electrodes during the voice production process. For this study, the ECoG signals were recorded while the subject performed two-syllable tasks. Additionally, assuming that the speech activity of a subject is expressed as ECoG signal activity disparately distributed over the space of the electrodes, we examined the spectral information in response to the electrode locations. The study was based on spectral features (power spectral density) estimated for each electrode. Quantitative analysis based on the Relief algorithm was followed to estimate the degree of importance of each electrode for describing the voice activity. The experimental results showed that the spectral analysis with resolution of 8 Hz offers the highest voice discrimination performance (94.2%) using support vector machines as classifier. Finally, our analysis showed that during voice activity the frequency bands [168, 208] Hz are mostly affected. © 2013 IEEE.
Source Title: 13th IEEE International Conference on BioInformatics and BioEngineering, IEEE BIBE 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/128732
ISBN: 9781479931637
DOI: 10.1109/BIBE.2013.6701531
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