Results 11 to 20 of about 324 (121)

Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases

IEEE Access, 2019
Fluctuation-based dispersion entropy (FDispEn) is a new approach to estimate the dynamical variability of the fluctuations of signals. It is based on Shannon entropy and fluctuation-based dispersion patterns.
Hamed Azami, Steven E. Arnold, Saeid Sanei, Zhuoqing Chang, Guillermo Sapiro, Javier Escudero, Anoopum S. Gupta   +6 more
doaj   +3 more sources

Multivariate Multiscale Dispersion Entropy of Biomedical Times Series

Entropy, 2019
Due to the non-linearity of numerous physiological recordings, non-linear analysis of multi-channel signals has been extensively used in biomedical engineering and neuroscience.
Hamed Azami, Alberto Fernández, Javier Escudero   +2 more
doaj   +3 more sources

Multivariate Multiscale Variations Dispersion Entropy and Multivariate Multiscale Variations Fuzzy Dispersion Entropy for Time-Series Analysis

IEEE Sensors Journal
Yanqing Dong, Xubin Wu
exaly   +2 more sources

Complexity Analysis of Three-Dimensional Fractional-Order Chaotic System Based on Entropy Theory

IEEE Access, 2021
Complexity analysis of fractional-order chaotic system is an interesting topic in recent years. How to measure the complexity of fractional-order chaotic system correctly and effectively is the basis of its theoretical analysis and engineering ...
Guohui Li, Xiangyu Zhang, Hong Yang
doaj   +1 more source

Separation of magnetotelluric signals based on refined composite multiscale dispersion entropy and orthogonal matching pursuit

Earth, Planets and Space, 2021
Magnetotelluric (MT) data processing can increase the reliability of measured data. Traditional MT data denoising methods are usually applied to entire MT time-series, which results in the loss of useful MT signals and a decrease of imaging accuracy of ...
Xian Zhang, Jin Li, Diquan Li, Yong Li, Bei Liu, Yanfang Hu   +5 more
doaj   +1 more source

A Refined Multiscale Symbolic Diverse Entropy Technique for Detecting Weak Faults in Rotating Machinery

Applied Sciences, 2023
In rotating machinery components, it is difficult to extract incipient weak fault features directly from vibration signals. A fault feature extraction method based on refined multiscale symbolic dispersion entropy (RMSDE) is proposed.
Shunming Li, Yuzhe Hou, Jiantao Lu, Mengqi Feng   +3 more
doaj   +1 more source

Fault Diagnosis of Hydraulic Pumps Using PSO-VMD and Refined Composite Multiscale Fluctuation Dispersion Entropy

Shock and Vibration, 2020
Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou, Xiaoqiang Yang, Jinxing Shen, Wuqiang Liu   +3 more
doaj   +1 more source

Evaluation of Acute Tonic Cold Pain From Microwave Transcranial Transmission Signals Using Multi-Entropy Machine Learning Approach

IEEE Access, 2020
This study aims to improve the accuracy of detecting acute tonic cold pain (CP) perception from microwave transcranial transmission (MTT) signals. Two different types of CP and no-pain (NP) MTT signals are obtained from 15 subjects. Four features, namely,
Daoshuang Geng, Daoguo Yang, Miao Cai, Weidong Hao   +3 more
doaj   +1 more source

Fault line selection method for coal mine power grid based on RCMDE and KFCM

Gong-kuang zidonghua, 2022
It is difficult to accurately select the fault line when the single-phase ground fault occurs in the coal mine power grid with the widely used resonant grounding system.
HAN Guoguo, SHI Xiaojun, WANG Hui, CHENG Weijian, MU Yanxiang   +4 more
doaj   +1 more source

Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals

Frontiers in Physiology, 2020
Sudden cardiac death (SCD), which can deprive a person of life within minutes, is a destructive heart abnormality. Thus, providing early warning information for patients at risk of SCD, especially those outside hospitals, is essential.
Manhong Shi, Manhong Shi, Hongxin He, Wanchen Geng, Rongrong Wu, Chaoying Zhan, Yanwen Jin, Fei Zhu, Shumin Ren, Bairong Shen   +9 more
doaj   +1 more source