Combining EEG signal processing with supervised methods for Alzheimer’s patients classification

Combining EEG signal processing with supervised methods for Alzheimer’s patients classification

Abstract Background Alzheimer’s Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing their electroencephalography (EEG) signals, which show a reduction of...

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Bibliographic Details
Main Authors: Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti, Maria Cristina De Cola
Format: Article
Language:English
Published: BMC 2018-05-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Alzheimer’s disease
Feature extraction
Electroencephalography signals
Classification
Online Access:http://link.springer.com/article/10.1186/s12911-018-0613-y

Internet

http://link.springer.com/article/10.1186/s12911-018-0613-y

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