Noise reduction and QRS detection in ECG signal using EEMD with modified sigmoid thresholding
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Ouahiba Mohguen
Abstract
Objectives
Novel noise reduction and QRS detection algorithms in Electrocardiogram (ECG) signal based on Empirical Mode Decomposition (EMD), Ensemble Empirical Mode Decomposition (EEMD) and the Modified Sigmoid Thresholding Function (MSTF) are proposed in this paper.
Methods
EMD and EEMD algorithms are used to decompose the noisy ECG signal into series of Intrinsic Mode Functions (IMFs). Then, these IMFs are thresholded by the MSTF for reduction of noises and preservation of QRS complexes. After that, the thresholded IMFs are used to obtain the clean ECG signal. The characteristic points P, Q, R, S and T peaks are detected using peak detection algorithm.
Results
The proposed methods are validated through experiments on the MIT-BIH arrhythmia database and Additive White Gaussian Noise (AWGN) is added to the clean ECG signal at different input SNR (SNRin). Standard performance parameters output SNR (SNRout), mean square error (MSE), root mean square error (RMSE), SNR improvement (SNRimp) and percentage root mean square difference (PRD) are employed for evaluation of the efficacy of the proposed methods. The results showed that the proposed methods provide significant quantitative and qualitative improvements in denoising performance, compared with existing state-of-the-art methods such as wavelet denoising, conventional EMD (EMD-Conv), conventional EEMD (EEMD-Conv, Stockwell Transform (ST) and Complete EEMD with Adaptative Noise with hybrid interval thresholding and higher order statistic to select relevant modes (CEEMDAN-HIT).
Conclusions
A detail quantitative analysis demonstrate that for abnormal ECG records 207 m and 214 m at input SNR of −2 dB the SNRimp value is 12.22 and 11.58 dB respectively, which indicates that the proposed algorithm can be used as an effective tool for denoising of ECG signals.
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Informed consent: Not applicable.
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Ethical approval: Note applicable.
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Author contributions: The author have accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: Authors state no conflict of interest.
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Research funding: No funding.
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Articles in the same Issue
- Frontmatter
- Review
- Correlation between Periotest value and implant stability quotient: a systematic review
- Research Articles
- Surface characteristics and wettability of novel gingival col designed 3-D printed dental sectional matrices
- Surface treatment of PET multifilament textile for biomedical applications: roughness modification and fibroblast viability assessment
- Influence of the skull bone and brain tissue on the sound field in transcranial extracorporeal shock wave therapy: an ex vivo study
- A numerical study of palatal snoring
- Effects of a full-body electrostimulation garment application in a cohort of subjects with cerebral palsy, multiple sclerosis, and stroke on upper motor neuron syndrome symptoms
- Noise reduction and QRS detection in ECG signal using EEMD with modified sigmoid thresholding
- Machine learning based hybrid anomaly detection technique for automatic diagnosis of cardiovascular diseases using cardiac sympathetic nerve activity and electrocardiogram
