Results 51 to 60 of about 781,500 (170)

Exponential entropy on intuitionistic fuzzy sets [PDF]

, 2013
summary:In the present paper, based on the concept of fuzzy entropy, an exponential intuitionistic fuzzy entropy measure is proposed in the setting of Atanassov's intuitionistic fuzzy set theory. This measure is a generalized version of exponential fuzzy
Verma, Rajkumar, Sharma, Bhu Dev
core   +1 more source

The Relationship Between Blood Perfusion in the Lower Extremities and Heart Rate Variability at Different Positions

Frontiers in Physiology, 2021
Previous studies have explored the relationship between the complexity of local blood flow signals and heart rate variability (HRV) under different thermal stimulations. However, the relationship between the complexity of local blood flow signals and HRV
Shuyong Jia, Qizhen Wang, Hongyan Li, Xiaojing Song, Shuyou Wang, Weibo Zhang, Guangjun Wang   +6 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

Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG

Translational Psychiatry
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical symptoms and genetic factors, often resulting in misdiagnosis and suboptimal treatment outcomes.
Hyeon-Ho Hwang, Kang-Min Choi, Sungkean Kim, Seung-Hwan Lee   +3 more
semanticscholar   +1 more source

Approximate entropy and auto mutual information analysis of the electroencephalogram in Alzheimer's disease patients [PDF]

, 2008
We analysed the electroencephalogram (EEG) from Alzheimer's disease (AD) patients with two nonlinear methods: approximate entropy (ApEn) and auto mutual information (AMI).
Gomez, C., Escudero, J.; id_orcid, Espino, P., Hornero, R., Abasolo, D.   +4 more
core   +1 more source

Analyzing the Dynamics of Lung Cancer Imaging Data Using Refined Fuzzy Entropy Methods by Extracting Different Features

IEEE Access, 2019
Lung cancer is the major cause of cancer-related deaths worldwide with poor survival due to the poor diagnostic system at the advanced cancer stage. In the past, researchers developed computer-aided diagnosis (CAD) systems, which were greatly used by the
Lal Hussain, Wajid Aziz, Abdulrahman A. Alshdadi, Malik Sajjad Ahmed Nadeem, Ishtiaq Rasool Khan, Qurat-Ul-Ain Chaudhry   +5 more
doaj   +1 more source

Multiscale Entropy Analysis of Heart Rate Variability in Neonatal Patients with and without Seizures

Bioengineering, 2021
The complex physiological dynamics of neonatal seizures make their detection challenging. A timely diagnosis and treatment, especially in intensive care units, are essential for a better prognosis and the mitigation of possible adverse effects on the ...
Lorenzo Frassineti, Antonio Lanatà, Benedetta Olmi, Claudia Manfredi   +3 more
doaj   +1 more source

Time-shift multiscale entropy analysis of physiological signals

, 2017
Measures of predictability in physiological signals using entropy measures have been widely applied in many areas of research. Multiscale entropy expresses different levels of either approximate entropy or sample entropy by means of multiple factors for ...
Tuan D. Pham, Pham, Tuan,, Pham, Tuan
core   +1 more source

A Diagnosis Method for Noise and Intermittent Faults in Analog Circuits Based on the Fusion of Multiscale Fuzzy Entropy Features and Amplitude Features

Italian National Conference on Sensors
Intermittent faults occur randomly, last for short durations, and ultimately lead to permanent failures, threatening the safety and stability of analog circuits.
Junyou Shi, Yilei Hou, Zili Wang, Zhilin Yang, Zhenyang Lv   +4 more
semanticscholar   +1 more source

Earthquake and blast recognition based on CEEMDAN multiscale fuzzy entropy and NSGAIII optimized 1D-CNN neural networks

Journal of Seismic Exploration
This study proposes an enhanced method for natural earthquake and artificial explosion recognition, which comprises two parts, namely the multiscale fuzzy entropy (MFE) feature extraction of complete ensemble empirical mode decomposition with adaptive ...
Cong Pang, Tianwen Zhao, Guo-Qing Chen, Chawei Li, Zhong-Ya Li, P. Busababodhin, Pornntiwa Pawara   +6 more
semanticscholar   +1 more source