Results 211 to 220 of about 1,519 (247)

Multiscale modeling of the spatial structure of stem cells in neuroblastoma patient-derived tumoroids reveals a critical role for a short-range diffusive process. [PDF]

PLoS Comput Biol
Nguyen TNT, Koering C, Vallin E, Gonin-Giraud S, Broutier L, Bernard S, Crauste F, Gandrillon O.   +7 more
europepmc   +1 more source

A Novel Co-Designed Multi-Domain Entropy and Its Dynamic Synapse Classification Approach for EEG Seizure Detection. [PDF]

Entropy (Basel)
Feng G, Li J, Zhong Y, Zhang S, Liu X, Vai MI, Lin K, Zeng X, Yuan J, Chen R.   +9 more
europepmc   +1 more source

EEG Complexity Analysis of Psychogenic Non-Epileptic and Epileptic Seizures Using Entropy and Machine Learning. [PDF]

Entropy (Basel)
Shokouh Alaei H, Kouchaki S, Yogarajah M, Abasolo D.   +3 more
europepmc   +1 more source

Machine learning using entropy-based texture features from MRI to differentiate histological subtypes of non-small cell lung cancer identified as metabolically active on PET/MRI. [PDF]

PLoS One
Borowska M, Mojsak M, Bębas E, Pauk J, Hładuński M, Domino M.   +5 more
europepmc   +1 more source

Bearing fault diagnosis method based on enhanced VMD and adaptive-optimized SDAE. [PDF]

PLoS One
Ren X, Li H, Chen L, Xiong S, Li Z.
europepmc   +1 more source

Refined Composite Multiscale Permutation Entropy to Overcome Multiscale Permutation Entropy Length Dependence

IEEE Signal Processing Letters, 2015
Multiscale permutation entropy (MPE) has recently been proposed to evaluate complexity of time series. MPE has numerous advantages over other multiscale complexity measures, such as its simplicity, robustness to noise and its low computational cost.
Anne Humeau-Heurtier, Chiu-Wen Wu, Shuen-De Wu   +2 more
exaly   +4 more sources

Multiscale dynamics under the lens of permutation entropy

Physica A: Statistical Mechanics and Its Applications, 2020
Abstract In this paper, we characterize multi-scaling dynamics by estimating the permutation entropy at different time lags. Numerical simulations generated from fractional Brownian motion were used to illustrate how this multiscale symbolic tool behaves at the crossovers between different scaling. Experimental applications were also analyzed to show
Felipe Olivares, Luciano Zunino
exaly   +4 more sources

Dynamic characteristics of absence EEG recordings with multiscale permutation entropy analysis

Epilepsy Research, 2013
Understanding the transition of brain activities towards an absence seizure, called pre-epileptic seizure, is a challenge. In this study, multiscale permutation entropy (MPE) is proposed to describe dynamical characteristics of electroencephalograph (EEG) recordings on different absence seizure states.
Gaoxiang Ouyang, Xianzeng Liu, Xiaoli Li   +2 more
exaly   +4 more sources