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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

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 u sing 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. and Cichocki, A. (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 - Special Session on Neural Signals of Brain Disorde, (BIOSTEC 2010) ISBN 978-989-674-018-4; ISSN 2184-4305, 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 - 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},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing - 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
IS - 2184-4305
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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