Evaluation of EEG spectral features in alzheimer disease discrimination

P. M. Rodrigues, B. C. Bispo, Diamantino Freitas, João Paulo Teixeira, A. Carreres

Resultado de pesquisa


Alzheimer's disease (AD) is considered one of the most disabling diseases and it has a high prevalence in developed countries. It is as well the most common cause of dementia and it affects particularly the elderly. The current AD diagnosis accuracy is relatively low. It is therefore necessary to optimize the methods for AD detection. The electroencephalogram (EEG) is an inexpensive and noninvasive technique, that is able to record the electromagnetic fields produced by the brain activity. It has shown in the recent past a growing quality of the contribution to show brain disorders. The aim of this study was to evaluate the individual and combined power of several EEG features in AD discrimination. 95.00% of sensitivity, 100.00% of specificity, 97.06% of accuracy and 0.98 of AUC were the best classification results obtained in this work.
Idioma originalEnglish
Título da publicação do anfitrião21st European Signal Processing Conference (EUSIPCO 2013)
EditoraIEEE Canada
Número de páginas5
ISBN (impresso)9780992862602
Estado da publicaçãoPublicado - 2013
Publicado externamenteSim
Evento21st European Signal Processing Conference - Marrakech
Duração: 9 set. 201313 set. 2013


Conferência21st European Signal Processing Conference
Título abreviadoEUSIPCO 2013

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