Evaluation of EEG spectralfeatures in Alzheimer disease discrimination
Conference Paper
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abstract
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.
