A New dispersion entropy and fuzzy logic system methodology for automated classification of dementia stages using electroencephalograms

• Published in: Clinical neurology and neurosurgery Vol. 201; p. 106446
• Main Authors: Amezquita-Sanchez, Juan P., Mammone, Nadia, Morabito, Francesco C., Adeli, Hojjat
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2021; Elsevier Limited
• Subjects: Accuracy; Age; Alzheimer's disease; Automation; Brain research; Classification; Cognitive ability; Dementia; Dementia disorders; Differential diagnosis; Discrete wavelet transform; EEG; Electroencephalograms; Electroencephalography; Entropy; Fourier transforms; Fuzzy logic; Methods; Mild cognitive impairment; Neural networks; Neurodegenerative diseases; Neurology; Neurosurgery; Pattern recognition; Sensors; Signal processing; Support vector machines; Wavelet transforms; Fuzzy logic; Discrete wavelet transform; Alzheimer’s disease; Electroencephalograms; Mild cognitive impairment

•EEG-based methodology for distinguishing among the Alzheimer’s disease, Mild Cognitive Impairment, and healthy subjects.•Adroit integration of discrete wavelet transform, dispersion entropy index, and a fuzzy logic-based classification algorithm.•Effectiveness is evaluated employing a database of m...