A novel controllable energy constraints-variational mode decomposition denoising algorithm

Pal S, et al. Empirical mode decomposition based ECG enhancement and QRS detection. Comput Biol Med. 2012;42(1):83–92.

Article  MATH  Google Scholar 

Blanco-Velasco M, et al. ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Comput Biol Med. 2008;38(1):1–13.

Article  MATH  Google Scholar 

Poungponsri S, et al. An adaptive filtering approach for electrocardiogram (ECG) signal noise reduction using neural networks. Neurocomputing. 2013;117:206–13.

Article  MATH  Google Scholar 

Berwal D, et al. Motion artifact removal in ambulatory ECG signal for heart rate variability analysis. IEEE Sens J. 2019;19(24):12432–42.

Article  MATH  Google Scholar 

Patro KK, et al. Noise removal in long-term ECG signals using EMD based threshold method. Data Eng Commun Technol. 2021;24:461–9.

Article  MATH  Google Scholar 

Huang NE, et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc Lond A. 1998;454(1971):903–95.

Article  MathSciNet  MATH  Google Scholar 

Zhang D, et al. An efficient ECG denoising method based on empirical mode decomposition, sample entropy, and improved threshold function. Wirel Commun Mobile Comput. 2020;2020:8811962.

Article  MATH  Google Scholar 

Mourad N. ECG denoising algorithm based on group sparsity and singular spectrum analysis. Biomed Signal Process Control. 2019;50:62–71.

Article  MATH  Google Scholar 

Khiter A, et al. Muscle noise cancellation from ECG signal using self correcting leaky normalized least mean square adaptive filter under varied step size and leakage coefficient. Traitement du Signal. 2020;37(2):263–9.

Article  Google Scholar 

Tan X, et al. Application of improved wavelet threshold in denoising of ECG signals. Magnetoacoust Tomogr Curr Inject. 2021;45(1):1–5.

MATH  Google Scholar 

He H, et al. A novel adaptive wavelet thresholding with identical correlation shrinkage function for ECG noise removal. Chin J Electron. 2018;27(3):507–13.

Article  MathSciNet  MATH  Google Scholar 

Wu X, et al. Extracting deep features from short ECG signals for early atrial fibrillation detection. Artif Intell Med. 2020;109:101896.

Article  MATH  Google Scholar 

Dragomiretskiy K, et al. Variational mode decomposition. IEEE Trans Signal Process. 2014;62(3):531–44.

Article  MathSciNet  MATH  Google Scholar 

Shanmukh B, et al. Feature extraction of ECG signal using variational mode decomposition. Lect Notes Electr Eng. 2022;24:207–13.

Article  Google Scholar 

Bishop TC. VDNA: the virtual DNA plug-in for VMD. Bioinformatics. 2009;25(23):3187–8.

Article  MATH  Google Scholar 

Li L, et al. DelPhiForce web server: electrostatic forces and energy calculations and visualization. Bioinformatics. 2017;33(22):3661–3.

Article  MATH  Google Scholar 

Bi F, et al. Knock detection based on the optimized variational mode decomposition. Measurement. 2019;140:1–13.

Article  MATH  Google Scholar 

Liu S, et al. Particle swarm optimization-based variational mode decomposition for ground penetrating radar data denoising. Remote Sens. 2022;14:132973.

Google Scholar 

Malghan PG, et al. Grasshopper optimization algorithm based improved variational mode decomposition technique for muscle artifact removal in ECG using dynamic time warping. Biomed Signal Process Control. 2022;73:103437.

Article  MATH  Google Scholar 

Zeng W, et al. Classification of myocardial infarction based on hybrid feature extraction and artificial intelligence tools by adopting tunable-Q wavelet transform (TQWT), variational mode decomposition (VMD) and neural networks. Artif Intell Med. 2020;106:101848.

Article  MATH  Google Scholar 

Dora C, et al. Correlation-based ECG artifact correction from single channel EEG using modified variational mode decomposition. Comput Methods Progr Biomed. 2020;183:105092.

Article  MATH  Google Scholar 

Xu Y, et al. Detection of ventricular tachycardia and fibrillation using adaptive variational mode decomposition and boosted-CART classifier. Biomed Signal Process Control. 2018;39:219–29.

Article  MATH  Google Scholar 

Li CJ, et al. ECG denoising method based on an improved VMD algorithm. IEEE Sensors J. 2022;22:22725–33.

Article  Google Scholar 

Raj KS, et al. Capricious digital filter design and implementation using Baugh-Wooley multiplier and error reduced carry prediction approximate adder for ECG noise removal application. Circuits Syst Signal Process. 2023;42:6726–48.

Article  MATH  Google Scholar 

Mao JD, et al. A novel ECG Signal denoising algorithm based on sparrow search algorithm for optimal variational modal decomposition. Entropy. 2023;25:775.

Article  MATH  Google Scholar 

Nazari M, et al. Variational mode extraction: a new efficient method to derive respiratory signals from ECG. IEEE J Biomed Health Inform. 2018;22(4):1059–67.

Article  MATH  Google Scholar 

Moody GB, et al. The impact of the MIT-BIH arrhythmia database. IEEE Eng Med Biol Mag. 2001;20(3):45–50.

Article  MATH  Google Scholar 

Li J, et al. Adaptive energy-constrained variational mode decomposition based on spectrum segmentation and its application in fault detection of rolling bearing. Signal Process. 2021;183:108025.

Article  MATH  Google Scholar 

Comments (0)

No login
gif