Alzheimer Electroencephalogram Temporal Events Detection by K-means
Alzheimer Electroencephalogram Temporal Events Detection by K-means
P. Rodrigues,D. Freitas,João Paulo Teixeir
TLDR
K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject, and this approach is a new approach to obtained EEG temporal events in order to improve the AD diagnosis.
Abstract
Abstract Alzheimer Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. Its diagnostic accuracy is relatively low and there is not a biomarker able to detect AD without invasive tests. This study is a new approach to obtained electroencephalogram (EEG) temporal events in order to improve the AD diagnosis. For that, K-means were used and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in Health subject.