Improving Multiscale Fuzzy Entropy Robustness in EEG-Based Alzheimer’s Disease Detection via Amplitude Transformation

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 using electroencephalography signals. Multiscale Fuzzy Entropy is a complexity measure particularly sensitive to intra- and...

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Bibliographic Details
Main Authors: Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
electroencephalography
biomedical signal processing
multiscale fuzzy entropy
Alzheimer’s disease
complexity
measurements
Online Access:https://www.mdpi.com/1424-8220/24/23/7794

Internet

https://www.mdpi.com/1424-8220/24/23/7794

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