Investigation of ica algorithms for feature extraction of EEG signals in discrimination of alzheimer disease

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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationBIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing
Pages232-235
Number of pages4
Publication statusPublished - 2008
Externally publishedYes
EventBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing - Funchal, Madeira, Portugal
Duration: 28 Jan 200831 Jan 2008

Publication series

NameBIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing
Volume1

Conference

ConferenceBIOSIGNALS 2008 - 1st International Conference on Bio-inspired Systems and Signal Processing
Country/TerritoryPortugal
CityFunchal, Madeira
Period28/01/0831/01/08

Keywords

  • Alzheimer disease
  • BSS
  • EEG
  • Feature extraction
  • ICA

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