Evaluation of EEG spectral features in alzheimer disease discrimination

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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.
Original languageEnglish
Title of host publication21st European Signal Processing Conference (EUSIPCO 2013)
PublisherIEEE Canada
Number of pages5
ISBN (Print)9780992862602
Publication statusPublished - 2013
Externally publishedYes
Event21st European Signal Processing Conference - Marrakech, Morocco
Duration: 9 Sept 201313 Sept 2013


Conference21st European Signal Processing Conference
Abbreviated titleEUSIPCO 2013


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