Classification of Alzheimer’s Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs

Classification of Alzheimer’s Disease and Frontotemporal Dementia Using Electroencephalography to Quantify Communication between Electrode Pairs

Accurate diagnosis of dementia subtypes is crucial for optimizing treatment planning and enhancing caregiving strategies. To date, the accuracy of classifying Alzheimer’s disease (AD) and frontotemporal dementia (FTD) using electroencephalogram (EEG) data has been lower than that of distinguishing i...

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Bibliographic Details
Main Authors: Yuan Ma, Jeffrey Keith Spaneas Bland, Tsutomu Fujinami
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Diagnostics
Subjects:
dementia
Alzheimer’s disease
frontotemporal dementia
electroencephalogram
machine learning
support vector machine
Online Access:https://www.mdpi.com/2075-4418/14/19/2189

Internet

https://www.mdpi.com/2075-4418/14/19/2189

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