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Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease

Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease
 
Solé-Casals, Jordi ; Vialatte, François B. ; Chen, Zhe ; Cichocki, Andrej
2008

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Nombre: artconlli_a2008_sole_casals_jordi_investigating_ica.pdf
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Enllaç permanent: http://hdl.handle.net/10854/2105
 

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In this paper we present a quantitative comparisons of different independent component analysis (ICA) algorithms in order to investigate their potential use in preprocessing (such as noise reduction and feature extraction) the electroencephalogram (EEG) data for early detection of Alzhemier disease (AD) or discrimination between ...»»»»
In this paper we present a quantitative comparisons of different independent component analysis (ICA) algorithms in order to investigate their potential use in preprocessing (such as noise reduction and feature extraction) the electroencephalogram (EEG) data for early detection of Alzhemier disease (AD) or discrimination between AD (or mild cognitive impairment, MCI) and age-match control subjects.^^^^

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Citación Bibliográfica:

Solé Casals, J., Vialatte, F., Chen, Z. & Cichocki, A. 2008, "Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease", Biosignals 2008: Proceedings of the First International Conference on Bio-Inspired Systems and Signal Processing, Vol 1; 1st International Conference on Bio-inspired Systems and Signal Processing, eds. P. Encarnacao & A. Veloso, INSTICC-INST SYST TECHNOLOGIES INFORMATION CONTROL & COMMUNICATION, SETUBAL; AVENIDA D MANUEL L, 27A 2 ESQUERDO, SETUBAL, 2910-595, PORTUGAL, JAN 28-31, 2008, pp. 232.