Alzheimer’s early prediction with electroencephalogram

Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to impr...

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Detalhes bibliográficos
Autor principal: Rodrigues, Pedro Miguel (author)
Outros Autores: Teixeira, João Paulo (author), Garrett, Carolina (author), Alves, Dílio (author), Freitas, Diamantino Silva (author)
Formato: conferenceObject
Idioma:eng
Publicado em: 2018
Assuntos:
Alzheimer diasease
Early stages
Electroencephalogram signal
Surrogate decision tree classifier
Texto completo:http://hdl.handle.net/10198/16949
País:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/16949
Descrição
Resumo:Alzheimer's disease (AD) is currently an incurable illness that causes dementia and patienfs condition is progressively worse and it represents one ofthe greatest public health challenges worldwide. The main objective ofthis work was to develop a classificatiwmethodology for EEG signals to improve discrimination amongst patients at varying stages ofthe illness, Mitd Cognitive Impairment (MCI) patients and non-patients either in order to obtain a more reliable methodology to identify AD in early stages.

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