Computational methods of EEG signals analysis for Alzheimer’s disease classification

Computational analysis of electroencephalographic (EEG) signals have shown promising results in detecting brain disorders, such as Alzheimer’s disease (AD). AD is a progressive neurological illness that causes neuron cells degeneration, resulting in cognitive impairment. While there is no cure for A...

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Veröffentlicht in:	Scientific reports Jg. 13; H. 1; S. 8184 - 14
Hauptverfasser:	Vicchietti, Mário L., Ramos, Fernando M., Betting, Luiz E., Campanharo, Andriana S. L. O.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Nature Publishing Group UK 20.05.2023 Nature Publishing Group Nature Portfolio
Schlagworte:	631/378/1689/1283 639/166/985 639/766/530/2801 Aged Algorithms Alzheimer Disease - diagnosis Alzheimer's disease Biomarkers Brain research Cognitive ability Cognitive Dysfunction - diagnosis Computational neuroscience Dementia EEG Electroencephalography Electroencephalography - methods Entropy Fourier transforms Humanities and Social Sciences Humans multidisciplinary Neurodegeneration Neurodegenerative diseases Quality of Life Science Science (multidisciplinary) Time series
ISSN:	2045-2322, 2045-2322
Online-Zugang:	Volltext
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