Investigation of ICA algorithms for feature extraction of EEG signals in discrimination of Alzheimer disease
| Contribuinte(s) |
Universitat de Vic. Escola Politècnica Superior Universitat de Vic. Grup de Recerca en Tecnologies Digitals International Conference on Bio-inspired Systems and Signal Proceesing (1a: 2008: Madeira) BIOSIGNALS 2008 |
|---|---|
| Data(s) |
2008
|
| Resumo |
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. |
| Formato |
4 p. |
| Identificador | |
| Idioma(s) |
eng |
| Direitos |
Tots els drets reservats |
| Palavras-Chave | #Algorismes |
| Tipo |
info:eu-repo/semantics/conferenceObject |
