Early Detection of Electroencephalogram Temporal Events in Alzheimer’s Disease

• Type: Chapter or Part of a Book
• Date: 2017

Authors

Diamantino Freitas (Author) FEUP; Pedro Miguel de Luís Rodrigues (Author) Other; João Paulo Teixeira (Author) Other; Dílio Alves (Author) Other; Maria Carolina Garrett (Author) FMUP

Book

Title: Design, Development, and Integration of Reliable Electronic Healthcare Platforms

Pages: 112-131

ISBN: 978-1522517245

Indexing

Scopus

Scientific classification

CORDIS: Technological sciences > Engineering > Biomedical enginnering

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

Other information

DOI: 10.4018/978-1-5225-1724-5

Abstract (EN): Alzheimer's Disease (AD) is considered one of the most debilitating illness in modern societies andthe leading cause of dementia. This study is a new approach to detect early AD Electroencephalogram(EEG) temporal events in order to improve early AD diagnosis. For that, Self-Organized Maps (SOM)were used, and it was found that there are sequences of EEG energy variation, characteristic of AD,that appear with high incidence in Mild Cognitive Impairment (MCI) patients. Those AD events arerelated to the first cognitive changes in patients that interfered with the normal EEG signal pattern.Moreover, there are significant differences concerning the propagation time of those events between thestudy groups(p=0.0082<0.05), meaning that, as AD progresses the brain dynamics are progressivelyaffected, what is expected because AD causes brain atrophy. © 2017 by IGI Global. All rights reserved.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 20