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...

Full description

Bibliographic Details
Main Author: Rodrigues, Pedro Miguel (author)
Other Authors: Teixeira, João Paulo (author), Garrett, Carolina (author), Alves, Dílio (author), Freitas, Diamantino Silva (author)
Format: conferenceObject
Language:eng
Published: 2018
Subjects:
Alzheimer diasease
Early stages
Electroencephalogram signal
Surrogate decision tree classifier
Online Access:http://hdl.handle.net/10198/16949
Country:Portugal
Oai:oai:bibliotecadigital.ipb.pt:10198/16949
Description
Summary: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.

Similar Items