ECG Baseline Wander Correction Based on Mean-median Filter and Empirical Mode Decomposition
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Summary
The proposed method, tested by the ECG signals in MIT-BIH Arrhythmia database and European ST_T database, is more effective compared with other baseline wander removal methods.
- Type
- article
- Published
- 2014-01-01
- Cited by
- 32
- References
- 23
- OpenAlex
- https://openalex.org/W23945807
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:36987435
Keywords
Hilbert–Huang transform, Baseline (sea), Mode (computer interface), Filter (signal processing), Decomposition
References
- Recommendations for the standardization and interpretation of the electrocardiogram. Part I: The electrocardiogram and its technology. A scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Car
- Baseline Wander Removal of ECG Signals Using Empirical Mode Decomposition and Adaptive Filter
- Myocardial infarction redefined--a consensus document of The Joint European Society of Cardiology/American College of Cardiology Committee for the redefinition of myocardial infarction.
- Recommendations for the standardization and interpretation of the electrocardiogram: part I: the electrocardiogram and its technology a scientific statement from the American Heart Association Electrocardiography and Arrhythmias Committee, Council on Clinical Cardiology; the American College of Card
- Multiadaptive Bionic Wavelet Transform: Application to ECG Denoising and Baseline Wandering Reduction
- Electrocardiogram baseline noise estimation and removal using cubic splines and state-space computation techniques.
- Baseline wander correction in pulse waveforms using wavelet-based cascaded adaptive filter
- The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
- De-Noising and Baseline Wandering Removal of Electrocardiogram Using Double Density Discrete Wavelet
- Research on electrocardiogram baseline wandering correction based on wavelet transform, QRS barycenter fitting, and regional method
- John W. Tukey's contributions to robust statistics
- A review of electrocardiogram filtering.
- The impact of the MIT-BIH Arrhythmia Database
- Model-Based Fiducial Points Extraction for Baseline Wandered Electrocardiograms
- Baseline Wander Correction in ECG by the Empirical Mode Decomposition
- An Adaptive Kalman Filter for ECG Signal Enhancement
- ECG baseline wander and powerline interference reduction using nonlinear filter bank
- Edge preserving filtering by combining nonlinear mean and median filters
- Wavelet-basedwiener filter for electrocardiogram signal denoising
- The European ST-T database: standard for evaluating systems for the analysis of ST-T changes in ambulatory electrocardiography.
Cited by
- IEEE-802.15.4-based low-power body sensor node with RF energy harvester
- Denoising of the ECG Signal using Kohonen Neural Network
- Digital DC-Reconstruction of AC-Coupled Electrophysiological Signals with a Single Inverting Filter
- Electrocardiogram signal denoising based on empirical mode decomposition technique: an overview
- Design and implementation of a pulse wave generator based on Windkessel model using field programmable gate array technology
- Paroxysmal atrial fibrillation recognition based on multi-scale Rényi entropy of ECG
- An automatic atrial fibrillation detection scheme based on statistical features from differential electrocardiogram signals
- An Internet of Things based physiological signal monitoring and receiving system for virtual enhanced health care network
- Removal of Movement Artefact for Mobile EEG Analysis in Sports Exercises
- ECG Baseline Wander Correction and Denoising Based on Sparsity
- Adaptive Bandwidth Fourier Decomposition Method for Multi-Component Signal Processing
- Bandwidth Fourier decomposition and its application in incipient fault identification of rolling bearings
- Comparative Analysis of Savitzky-Golay and Butterworth Filters for Electrocardiogram De-Noising Using Daubechies Wavelets
- Comparing different wavelet transforms on removing electrocardiogram baseline wanders and special trends
- ECG Baseline Estimation and Denoising With Group Sparse Regularization
- ECG Enhancement and R-Peak Detection Based on Window Variability
- Precise and efficient heartbeat classification using a novel lightweight-modified method
- End-to-End Depression Recognition Based on a One-Dimensional Convolution Neural Network Model Using Two-Lead ECG Signal
- Robustness of electrocardiogram signal quality indices
- Design and Implementation of an Ultralow-Power ECG Patch and Smart Cloud-Based Platform
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