Warped AR modelling and spectral estimation for EEG signals

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  2. Dr Luis Peraza Rodriguez
Author(s)Peraza LR, Bouchereau F
Editor(s)
Publication type Conference Proceedings (inc. Abstract)
Conference Name19th Biennial International EURASIP Conference Biosignal
Conference LocationBrno - Czech Republic
Year of Conference2008
Legacy Date29 June -1 July 2008
Volume
Pages12-12
ISBN9788021436121
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Warped autoregressive (WAR) models are proposed for the obtention of reduced order and high quality power spectral density estimators for EEG signals. The use of WAR-based versus linear AR-based PSD estimators allowed comparable quality estimates in the alpha band with considerably less number of coefficients when applied to real EEG data. WAR-based models may improve the performance of quantitative EEG algorithms while decreasing their computational load, complexity, and memory requirements.
PublisherBrno University of Technology
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