TY  - JOUR
AU  - Podgorelec, V.
PY  - 2012/10/17
Y2  - 2025/01/02
TI  - Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease
JF  - Elektronika ir Elektrotechnika
JA  - ELEKTRON ELEKTROTECH
VL  - 18
IS  - 8
SE  - 
DO  - 10.5755/j01.eee.18.8.2627
UR  - https://eejournal.ktu.lt/index.php/elt/article/view/2627
SP  - 61-64
AB  - In order to have the greatest treatment impact the early and accurate diagnose of Alzheimer’s disease (AD) is essential. In this paper we present a method for analyzing EEG signals with machine learning approach in order to diagnose AD. We show how to extract features out of EEG recordings to be used with a machine learning algorithm for the induction of AD classification model. The obtained results are very promising.<p>DOI: <a href="http://dx.doi.org/10.5755/j01.eee.18.8.2627">http://dx.doi.org/10.5755/j01.eee.18.8.2627</a></p>
ER  -