252 related articles for article (PubMed ID: 32158399)
1. Early Detection of Sudden Cardiac Death by Using Ensemble Empirical Mode Decomposition-Based Entropy and Classical Linear Features From Heart Rate Variability Signals.
Shi M; He H; Geng W; Wu R; Zhan C; Jin Y; Zhu F; Ren S; Shen B
Front Physiol; 2020; 11():118. PubMed ID: 32158399
[TBL] [Abstract][Full Text] [Related]
2. Renyi Distribution Entropy Analysis of Short-Term Heart Rate Variability Signals and Its Application in Coronary Artery Disease Detection.
Shi M; Zhan C; He H; Jin Y; Wu R; Sun Y; Shen B
Front Physiol; 2019; 10():809. PubMed ID: 31293457
[TBL] [Abstract][Full Text] [Related]
3. A Novel Linear Spectrum Frequency Feature Extraction Technique for Warship Radio Noise Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Duffing Chaotic Oscillator, and Weighted-Permutation Entropy.
Li Y; Wang L; Li X; Yang X
Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267221
[TBL] [Abstract][Full Text] [Related]
4. Fault Diagnosis for Rolling Element Bearings Based on Feature Space Reconstruction and Multiscale Permutation Entropy.
Zhang W; Zhou J
Entropy (Basel); 2019 May; 21(5):. PubMed ID: 33267235
[TBL] [Abstract][Full Text] [Related]
5. Analysis of cardiovascular function in diabetic patients using EEMD-ICA fusion multi-scale percussion entropy.
Li MM; Pan JX; Wang JH; Hu ZL; Zhao J; Wei HC
Technol Health Care; 2024; 32(2):809-821. PubMed ID: 37458054
[TBL] [Abstract][Full Text] [Related]
6. Detection of coronary artery disease by reduced features and extreme learning machine.
Singh RS; Saini BS; Sunkaria RK
Clujul Med; 2018; 91(2):166-175. PubMed ID: 29785154
[TBL] [Abstract][Full Text] [Related]
7. [A heart sound classification method based on complete ensemble empirical modal decomposition with adaptive noise permutation entropy and support vector machine].
Liu M; Wu Q; Ding S; Pan L; Liu X
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2022 Apr; 39(2):311-319. PubMed ID: 35523552
[TBL] [Abstract][Full Text] [Related]
8. Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index.
Acharya UR; Mookiah MR; Koh JE; Tan JH; Bhandary SV; Rao AK; Fujita H; Hagiwara Y; Chua CK; Laude A
Comput Biol Med; 2016 Aug; 75():54-62. PubMed ID: 27253617
[TBL] [Abstract][Full Text] [Related]
9. A Novel Hybrid Approach for Partial Discharge Signal Detection Based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise and Approximate Entropy.
Shang H; Li Y; Xu J; Qi B; Yin J
Entropy (Basel); 2020 Sep; 22(9):. PubMed ID: 33286808
[TBL] [Abstract][Full Text] [Related]
10. Automated identification of sleep states from EEG signals by means of ensemble empirical mode decomposition and random under sampling boosting.
Hassan AR; Bhuiyan MIH
Comput Methods Programs Biomed; 2017 Mar; 140():201-210. PubMed ID: 28254077
[TBL] [Abstract][Full Text] [Related]
11. Classification of ECG heartbeats using nonlinear decomposition methods and support vector machine.
Rajesh KNVPS; Dhuli R
Comput Biol Med; 2017 Aug; 87():271-284. PubMed ID: 28624712
[TBL] [Abstract][Full Text] [Related]
12. Application of EEMD and improved frequency band entropy in bearing fault feature extraction.
Li H; Liu T; Wu X; Chen Q
ISA Trans; 2019 May; 88():170-185. PubMed ID: 30558907
[TBL] [Abstract][Full Text] [Related]
13. Heart rate variability analysis based on time-frequency representation and entropies in hypertrophic cardiomyopathy patients.
Clariá F; Vallverdú M; Baranowski R; Chojnowska L; Caminal P
Physiol Meas; 2008 Mar; 29(3):401-16. PubMed ID: 18367814
[TBL] [Abstract][Full Text] [Related]
14. An optimal strategy for prediction of sudden cardiac death through a pioneering feature-selection approach from HRV signal.
Ebrahimzadeh E; Foroutan A; Shams M; Baradaran R; Rajabion L; Joulani M; Fayaz F
Comput Methods Programs Biomed; 2019 Feb; 169():19-36. PubMed ID: 30638589
[TBL] [Abstract][Full Text] [Related]
15. Multiscale modeling of fiber optic gyroscope temperature drift based on improved ensemble empirical mode decomposition.
Wang W; Chen X
Appl Opt; 2018 Oct; 57(28):8443-8450. PubMed ID: 30461800
[TBL] [Abstract][Full Text] [Related]
16. Automatic selection of IMFs to denoise the sEMG signals using EMD.
Koppolu PK; Chemmangat K
J Electromyogr Kinesiol; 2023 Dec; 73():102834. PubMed ID: 37922679
[TBL] [Abstract][Full Text] [Related]
17. Multimode Decomposition and Wavelet Threshold Denoising of Mold Level Based on Mutual Information Entropy.
Lei Z; Su W; Hu Q
Entropy (Basel); 2019 Feb; 21(2):. PubMed ID: 33266917
[TBL] [Abstract][Full Text] [Related]
18. Fault Diagnosis for Analog Circuits by Using EEMD, Relative Entropy, and ELM.
Xiong J; Tian S; Yang C
Comput Intell Neurosci; 2016; 2016():7657054. PubMed ID: 27698663
[TBL] [Abstract][Full Text] [Related]
19. GPGPU-aided ensemble empirical-mode decomposition for EEG analysis during anesthesia.
Chen D; Li D; Xiong M; Bao H; Li X
IEEE Trans Inf Technol Biomed; 2010 Nov; 14(6):1417-27. PubMed ID: 20813649
[TBL] [Abstract][Full Text] [Related]
20. An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.
Cheng Y; Wang Z; Chen B; Zhang W; Huang G
ISA Trans; 2019 Aug; 91():218-234. PubMed ID: 30738582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
