LEADNet: Detection of Alzheimer's Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN

DV Puri, PH Kachare, SB Sangle, R Kirner… - IEEE …, 2024 - ieeexplore.ieee.org
Clinical methods for dementia detection are expensive and prone to human errors. Despite
various computer-aided methods using electroencephalography (EEG) signals and artificial …

[HTML][HTML] Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer's Disease Detection via Amplitude Transformation

P Arpaia, M Cacciapuoti, A Cataldo, S Criscuolo… - Sensors, 2024 - mdpi.com
This study investigates the effectiveness of amplitude transformation in enhancing the
performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection …