Results 141 to 150 of about 456,367 (154)

Multiscale permutation entropy analysis of the EEG in early stage alzheimer's patients

2012 IEEE-EMBS Conference on Biomedical Engineering and Sciences, 2012
Alzheimer's Disease (AD) is a neurodegenerative disorder associated with a progressive loss of cognitive function. Early identification of AD, when symptoms are mild, can be difficult. Therefore, the development of clinically useful measures are necessary to improve diagnosis of the disease and to allow for early clinical intervention, as well as to ...
Morison, Gordon, Tieges, Zoe, Kilborn, Kerry   +2 more
openaire   +1 more source

Complexity Analysis of EEG Data with Multiscale Permutation Entropy

2010
In this study, we propose a powerful tool, called multiscale permutation entropy (MPE), to evaluate the dynamical characteristics of electroencephalogram (EEG) at the duration of epileptic seizure and seizure-free states. Numerical simulation analysis shows that MPE method is able to distinguish between the stochastic noise and deterministic chaotic ...
Gaoxiang Ouyang, Chuangyin Dang, Xiaoli Li   +2 more
openaire   +1 more source

Analysis of crude oil markets with improved multiscale weighted permutation entropy

Physica A: Statistical Mechanics and its Applications, 2018
Abstract Entropy measures are recently extensively used to study the complexity property in nonlinear systems. Weighted permutation entropy (WPE) can overcome the ignorance of the amplitude information of time series compared with PE and shows a distinctive ability to extract complexity information from data having abrupt changes in magnitude ...
Hongli Niu, Jun Wang, Cheng Liu
openaire   +1 more source

EEG emotion recognition using multichannel weighted multiscale permutation entropy

Applied Intelligence, 2022
Zhong-Min Wang 0001, Jia-Wen Zhang, Yan He, Jie Zhang 0028   +3 more
openaire   +2 more sources

Application of cross-channel multiscale permutation entropy in measuring multichannel data complexity

Chaos: An Interdisciplinary Journal of Nonlinear Science
Entropy is a pivotal concept in nonlinear dynamics, revealing chaos, self-organization, and information transmission in complex systems. Permutation entropy, due to its computational efficiency and lower data length requirements, has found widespread use in various fields.
Weijia Li, Xiaohong Shen, Yaan Li, Zhe Chen, Yupeng Shen   +4 more
openaire   +3 more sources

Fractional Multiscale Phase Permutation Entropy for Quantifying the Complexity of Nonlinear Time Series

Physica A: Statistical Mechanics and Its Applications, 2022
Zhi-Hong Guan, Guang Ling, Yu-Han Tong
exaly  

PARTIAL DISCHARGE CLASSIFICATION USING SWT AND MULTISCALE PERMUTATION ENTROPY

Telecommunications and Radio Engineering, 2020
L. Sun, J. Song
openaire   +1 more source

Application of the Refined Multiscale Permutation Entropy Method to Fault Detection of Rolling Bearing

Journal of the Brazilian Society of Mechanical Sciences and Engineering, 2021
Yongjian Li, Bingrong Miao, Jihua Liu
exaly  

A Novel Automated Seizure Detection System From EMD-MSPCA Denoised EEG: Refined Composite Multiscale Sample, Fuzzy and Permutation Entropies Based Scheme

Biomedical Signal Processing and Control, 2021
Monisha Chakraborty, Debjani Mitra
exaly  

Generalized Composite Multiscale Permutation Entropy and Laplacian Score Based Rolling Bearing Fault Diagnosis

Mechanical Systems and Signal Processing, 2018
Jinde Zheng, Haiyang Pan, Jinde Zheng
exaly