Results 141 to 150 of about 1,556 (171)

Multiscale Cosine Convolution Neural Network for Robust and Interpretable Epileptic EEG Detection. [PDF]

Biosensors (Basel)
Chen J, Zhou W, Liu G.
europepmc   +1 more source

Wind turbine bearing fault classification identification based on optimized variational mode decomposition and convolutional neural network-bidirectional gated recurrent unit-Attention. [PDF]

Sci Prog
Tang M, Tao Z, Wang C, Wang H, Zhang K, Rao C, Sardor D.   +6 more
europepmc   +1 more source

A non-sub-sampled shearlet transform-based deep learning sub band enhancement and fusion method for multi-modal images. [PDF]

Sci Rep
Sengan S, Gugulothu P, Alroobaea R, Webber JL, Mehbodniya A, Yousef A.   +5 more
europepmc   +1 more source

EEG entropy modulation as a biomarker of emotion regulation and resilience. [PDF]

IBRO Neurosci Rep
Creel WT, Hartman RE.
europepmc   +1 more source

Entropy as a Tool for Quantifying Biomedical Signals: Gaps and Opportunities in Clinical Methodological Approaches-A Scoping Review. [PDF]

Biomed Eng Comput Biol
Gómez Acosta LG, Chacón Pacheco M.
europepmc   +1 more source

Gait Phase Recognition in Multi-Task Scenarios Based on sEMG Signals. [PDF]

Biosensors (Basel)
Shi X, Zhang X, Qin P, Huang L, Zhu Y, Yang Z.   +5 more
europepmc   +1 more source

Effects of repetitive SSVEPs on EEG complexity using multiscale inherent fuzzy entropy [PDF]

Neurocomputing, 2020
Multiscale inherent fuzzy entropy is an objective measurement of electroencephalography (EEG) complexity, reflecting the habituation of brain systems. Entropy dynamics are generally believed to reflect the ability of the brain to adapt to a visual stimulus environment.
Zehong Cao, Weiping Ding, Yu-Kai Wang
exaly   +3 more sources

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EDM-Fuzzy: An Euclidean Distance Based Multiscale Fuzzy Entropy Technology for Diagnosing Faults of Industrial Systems

IEEE Transactions on Industrial Informatics, 2021
Sample entropy (SampEn) technologies have been widely applied in diagnosing the faults of industrial systems. However, there are two disadvantages of these technologies. First, all of these technologies measure the distance of two vectors solely based on the maximum distance between the corresponding elements in the two vectors, which is not able to ...
Renjie Zhou, Xiao Wang, Jian Wan
exaly   +2 more sources

Bidimensional Multiscale Fuzzy Entropy and Its Application to Pseudoxanthoma Elasticum

IEEE Transactions on Biomedical Engineering, 2020
We propose a new bidimensional entropy measure and its multiscale form and evaluate their behavior using various synthetic and real images. The bidimensional multiscale measure finds application in helping clinicians for pseudoxanthoma elasticum (PXE) detection in dermoscopic images.We developed bidimensional fuzzy entropy ( FuzEn2D) and its multiscale
Mirvana Hilal, Clémence Berthin, Ludovic Martin, Hamed Azami, Anne Humeau-Heurtier   +4 more
openaire   +3 more sources