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Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease
Journal Title Electronics and Electrical Engineering
Journal Abbreviation elt
Publisher Group Kaunas University of Technology (KTU) Open Journal Systems (KTU)
Website http://www.eejournal.ktu.lt/index.php/elt
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Title Analyzing EEG Signals with Machine Learning for Diagnosing Alzheimer’s Disease
Authors Podgorelec, V.
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.

 

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