LEADNet: Detection of Alzheimer's Disease using Spatiotemporal EEG Analysis and Low-Complexity CNN
Clinical methods for dementia detection are expensive and prone to human errors. Despite
various computer-aided methods using electroencephalography (EEG) signals and artificial …
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
This study investigates the effectiveness of amplitude transformation in enhancing the
performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection …
performance and robustness of Multiscale Fuzzy Entropy for Alzheimer's disease detection …