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Authors: J. Solé-Casals 1 ; F. Vialatte 2 ; J. Pantel 3 ; D. Prvulovic 3 ; C. Haenschel 4 and A. Cichocki 5

Affiliations: 1 1Digital Technologies Group, University of Vic, Spain ; 2 RIKEN Brain Science Institute, LABSP, Japan ; 3 Johann Wolfgang Goethe University, Germany ; 4 Bangor University, United Kingdom ; 5 2RIKEN Brain Science Institute, LABSP, Japan

ISBN: 978-989-674-018-4

ISSN: 2184-4305

Keyword(s): EEG, Mild Cognitive Impairment, Alzheimer disease, ICA, BSS, Neural networks.

Abstract: To develop systems in order to detect Alzheimer’s disease we want to use EEG signals. Available database is raw, so the first step must be to clean signals properly. We propose a new way of ICA cleaning on a database recorded from patients with Alzheimer's disease (mildAD, early stage). Two researchers visually inspected all the signals (EEG channels), and each recording's least corrupted (artefact-clean) continuous 20 sec interval were chosen for the analysis. Each trial was then decomposed using ICA. Sources were ordered using a kurtosis measure, and the researchers cleared up to seven sources per trial corresponding to artefacts (eye movements, EMG corruption, EKG, etc), using three criteria: (i) Isolated source on the scalp (only a few electrodes contribute to the source), (ii) Abnormal wave shape (drifts, eye blinks, sharp waves, etc.), (iii) Source of abnormally high amplitude (≥100 μV). We then evaluated the outcome of this cleaning by means of the classification of patients us ing multilayer perceptron neural networks. Results are very satisfactory and performance is increased from 50.9% to 73.1% correctly classified data using ICA cleaning procedure. (More)

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Paper citation in several formats:
Solé-Casals J.; Vialatte F.; Pantel J.; Prvulovic D.; Haenschel C.; Cichocki A. and (2010). ICA CLEANING PROCEDURE FOR EEG SIGNALS ANALYSIS - Application to Alzheimer's Disease Detection.In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session on Neural Signals of Brain Disorde, (BIOSTEC 2010) ISBN 978-989-674-018-4, pages 485-490. DOI: 10.5220/0002755904850490

@conference{special session on neural signals of brain disorde10,
author={J. Solé{-}Casals and F. Vialatte and J. Pantel and D. Prvulovic and C. Haenschel and A. Cichocki},
title={ICA CLEANING PROCEDURE FOR EEG SIGNALS ANALYSIS - Application to Alzheimer's Disease Detection},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session on Neural Signals of Brain Disorde, (BIOSTEC 2010)},
year={2010},
pages={485-490},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002755904850490},
isbn={978-989-674-018-4},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - Volume 1: Special Session on Neural Signals of Brain Disorde, (BIOSTEC 2010)
TI - ICA CLEANING PROCEDURE FOR EEG SIGNALS ANALYSIS - Application to Alzheimer's Disease Detection
SN - 978-989-674-018-4
AU - Solé-Casals, J.
AU - Vialatte, F.
AU - Pantel, J.
AU - Prvulovic, D.
AU - Haenschel, C.
AU - Cichocki, A.
PY - 2010
SP - 485
EP - 490
DO - 10.5220/0002755904850490

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