Utilize este identificador para referenciar este registo: http://hdl.handle.net/10198/10779
Título: Detection of alzheimer’s disease electroencephalogram temporal events
Autor: Rodrigues, Pedro Miguel
Freitas, Diamantino
Teixeira, João Paulo
Palavras-chave: Alzheimer’s disease
Self-organized maps
Temporal events
Electroencephalogram (EEG)
Data: 2013
Editora: IGI Publishing
Citação: Rodrigues, P. M.; Freitas, D.; Teixeira, João Paulo (2013) - Detection of alzheimer’s disease electroencephalogram temporal events. International Journal of Reliable and Quality E-Healthcare. 2:3, p 44-61
Relatório da Série N.º: 3;
Resumo: Alzheimer’s Disease (AD) is a chronic progressive and irreversible neurodegenerative brain disorder. The aging population has been increasing significantly in recent decades. Therefore, AD will continue to increase because the disease affects mainly the elderly. Its diagnostic accuracy is relatively low, and there is not a biomarker able to detect AD without invasive tests. The electroencephalogram (EEG) test is a widely available technology in clinical settings. It may help diagnosis of brain disorders, once it can be used in patients who have cognitive impairment involving a general decrease in overall brain function or in patients with a located deficit. This study is a new approach to detect EEG temporal events in order to improve the AD diagnosis. For that, K-means and Self-Organized Maps were used, and the results suggested that there are sequences of EEG energy variation that appear more frequently in AD patients than in healthy subjects.
Peer review: yes
URI: http://hdl.handle.net/10198/10779
Aparece nas colecções:ESTiG - Artigos em Revistas Não Indexados à WoS/Scopus

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