INVESTIGATION OF ICA ALGORITHMS FOR FEATURE EXTRACTION OF EEG SIGNALS IN DISCRIMINATION OF ALZHEIMER DISEASE

Jordi Solé-Casals, François Vialatte, Zhe Chen, Andrzej Cichocki

Abstract

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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in Harvard Style

Solé-Casals J., Vialatte F., Chen Z. and Cichocki A. (2008). INVESTIGATION OF ICA ALGORITHMS FOR FEATURE EXTRACTION OF EEG SIGNALS IN DISCRIMINATION OF ALZHEIMER DISEASE . In Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008) ISBN 978-989-8111-18-0, pages 232-235. DOI: 10.5220/0001061902320235


in Bibtex Style

@conference{biosignals08,
author={Jordi Solé-Casals and François Vialatte and Zhe Chen and Andrzej Cichocki},
title={INVESTIGATION OF ICA ALGORITHMS FOR FEATURE EXTRACTION OF EEG SIGNALS IN DISCRIMINATION OF ALZHEIMER DISEASE},
booktitle={Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)},
year={2008},
pages={232-235},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001061902320235},
isbn={978-989-8111-18-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2008)
TI - INVESTIGATION OF ICA ALGORITHMS FOR FEATURE EXTRACTION OF EEG SIGNALS IN DISCRIMINATION OF ALZHEIMER DISEASE
SN - 978-989-8111-18-0
AU - Solé-Casals J.
AU - Vialatte F.
AU - Chen Z.
AU - Cichocki A.
PY - 2008
SP - 232
EP - 235
DO - 10.5220/0001061902320235