EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions
Abstract
Alzheimer's Disease (AD) is a neurogenerative disorder and the most common type of dementia with a rapidly increasing world prevalence. In this paper, the ability of several statistical and spectral features to detect AD from electroencephalographic (EEG) recordings is evaluated. For this purpose, clinical EEG recordings from 14 patients with AD (8 with mild AD and 6 with moderate AD) and 10 healthy, age-matched individuals are analyzed. The EEG...
Paper Details
Title
EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions
Published Date
Apr 14, 2019
Journal
Volume
9
Issue
4
Pages
81 - 81
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