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A Preliminary Study on Band-Specific Multivariate Multiscale Fuzzy Entropy of EEG in Mild Cognitive Impairment

2025 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE)
Mild Cognitive Impairment (MCI) is a transitional phase between normal aging and Alzheimer's Disease (AD), necessitating early and precise detection for effective intervention. Recently, electroencephalography (EEG) has gained importance as a non-invasive tool to capture the complex nonlinear and multivariate nature of neural signals.
Arpaia P.   +8 more
openaire   +2 more sources

Fault diagnosis of bearing based on refined piecewise composite multivariate multiscale fuzzy entropy

Digital Signal Processing, 2023
Zhenzhen Jin   +5 more
openaire   +1 more source

Multimodal loosening detection for threaded fasteners based on multiscale cross fuzzy entropy

Mechanical Systems and Signal Processing, 2023
Jiayu Huang   +3 more
openaire   +1 more source

Rotating machinery fault diagnosis based on multivariate multiscale fuzzy distribution entropy and Fisher score

Measurement: Journal of the International Measurement Confederation, 2021
Junsheng Cheng
exaly  

Sigmoid-based refined composite multiscale fuzzy entropy and t-SNE based fault diagnosis approach for rolling bearing

Measurement: Journal of the International Measurement Confederation, 2018
Jinde Zheng, Haiyang Pan
exaly  

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

Mechanical Systems and Signal Processing, 2017
Jinde Zheng   +2 more
exaly  

A Multivariate Multiscale Fuzzy Entropy Algorithm with Application to Uterine EMG Complexity Analysis

Entropy, 2017
Mosabber Uddin Ahmed   +2 more
exaly  

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