Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease
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Title | Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease |
Authors | |
Abstract | 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.DOI: http://dx.doi.org/10.5755/j01.eee.18.8.2627 |
Publisher | Kaunas University of Technology |
Date | 2012-10-26 |
Source | Elektronika ir elektrotechnika Vol 18, No 8 (2012) |
Rights | Autorių teisės yra apibrėžtos Lietuvos Respublikos autorių teisių ir gretutinių teisių įstatymo 4-37 straipsniuose. |