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

• Published in: Scientific reports Vol. 13; no. 1; pp. 8184 - 14
• Main Authors: Vicchietti, Mário L., Ramos, Fernando M., Betting, Luiz E., Campanharo, Andriana S. L. O.
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 20.05.2023; Nature Publishing Group; Nature Portfolio
• Subjects: 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

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...