EEG Signal Processing and Supervised Machine Learning to Early Diagnose Alzheimer’s Disease

• Published in: Applied sciences Vol. 12; no. 11; p. 5413
• Main Authors: Pirrone, Daniele, Weitschek, Emanuel, Di Paolo, Primiano, De Salvo, Simona, De Cola, Maria Cristina
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.06.2022
• Subjects: Alzheimer's disease; Biomarkers; Classification; Cognition & reasoning; Dementia; EEG signals; Electrodes; Electroencephalography; FIR filtering; Machine learning; power spectrum; Signal processing; supervised machine learning; Wavelet transforms

Electroencephalography (EEG) signal analysis is a fast, inexpensive, and accessible technique to detect the early stages of dementia, such as Mild Cognitive Impairment (MCI) and Alzheimer’s disease (AD). In the last years, EEG signal analysis has become an important topic of research to extract suit...