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Advisor(s)
Abstract(s)
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.
Description
Keywords
Alzheimer’s disease Electroencephalogram Temporal events Sequences K-means
Citation
Rodrigues, Pedro Miguel; Freitas, Diamantino, Teixeira, João Paulo (2012). Alzheimer electroencephalogram temporal events detection by K-means. Procedia Technology. ISSN 2212-0173. 5, p. 859-864
Publisher
Elsevier