EVALUATION OF EEG SPECTRAL FEATURES IN ALZHEIMER DISEASE DISCRIMINATION

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2013

Autores

Rodrigues, PM (Autor) Outra; Bispo, BC (Autor) Outra; Freitas, DR (Autor) Outra; Teixeira, JP (Autor) Outra; Carreres, A (Autor) Outra

Ata de Conferência Internacional

Título: 2013 PROCEEDINGS OF THE 21ST EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO)

21st European Signal Processing Conference (EUSIPCO)

Marrakesh, MOROCCO, SEP 09-13, 2013

Indexação

ISI Web of Knowledge - 0 Citações

Outras Informações

ID Authenticus: P-009-V6N

Abstract (EN): 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 AVC were the best classification results obtained in this work.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 5