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Experimental investigation of denoising electrocardiogram using lagrange form of hermite interpolating polynomial with chebyshev nodes

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  • Shashwati Ray

    (Bhilai Institute of Technology Durg (C.G.))

  • Vandana Chouhan

    (Bhilai Institute of Technology Durg (C.G.))

Abstract

Analysis of ECG for detecting different cardiovascular diseases requires real-time ECG signals which are acquired by attaching electrodes to the body. During the ECG signal acquisition, noise gets added to original signal, which might distort the morphological features, like amplitude, segment length and the interval aspects of the ECG leading to a false diagnosis and improper interpretation of cardiovascular disease. Therefore, ECG denoising is imperative. Here, we propose approximation using hermite polynomial interpolation with chebyshev nodes for denoising electrocardiogram signals that consequently compresses them too. Recommended algorithm is applied on twelve ECG signals taken from MIT-BIH arrhythmia database without any additional noise as the signals are already corrupted with noise. Performance of the proposed algorithm is evaluated using various performance metrics. Experimental results prove that the proposed method efficiently denoises electrocardiogram signals and gives quite encouraging results when compared with other existing denoising and compression algorithms.

Suggested Citation

  • Shashwati Ray & Vandana Chouhan, 2024. "Experimental investigation of denoising electrocardiogram using lagrange form of hermite interpolating polynomial with chebyshev nodes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(10), pages 5000-5017, October.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:10:d:10.1007_s13198-024-02510-9
    DOI: 10.1007/s13198-024-02510-9
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    References listed on IDEAS

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    1. E. Castillo & D. P. Morales & A. García & F. Martínez-Martí & L. Parrilla & A. J. Palma, 2013. "Noise Suppression in ECG Signals through Efficient One-Step Wavelet Processing Techniques," Journal of Applied Mathematics, Hindawi, vol. 2013, pages 1-13, June.
    2. Om Prakash Yadav & Shashwati Ray, 2021. "A novel method of preprocessing and modeling ECG signals with Lagrange–Chebyshev interpolating polynomials," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(3), pages 377-390, June.
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