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Circuits, Systems, and Signal Processing

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29-06-2024

Optimized Adaptive Filter for Powerline Interference Cancellation in Electrocardiogram Signal Using a Modified Lightning Search Algorithm

Authors: Vinoth murugan, Damodar Panigrahy

Published in: Circuits, Systems, and Signal Processing | Issue 10/2024

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Abstract

Powerline interference (PLI) more frequently affects the electrocardiogram (ECG) signal during the recording and acquisition. This paper proposes a unique method for suppressing the PLI in the ECG signal using an adaptive filter (AF) with a modified lightning search algorithm (MLSA). The MLSA approach automatically updates the filter coefficient weights to minimize the error between the noisy ECG signal and the filter output. The input signal of a filter is also optimized based on the error signal using MLSA. The proposed methodology's effectiveness is verified by adding PLI noise to the ECG records from the MIT-BIH arrhythmia database at different signal-to-noise ratios (SNRs). The potency of the proposed methodology is assessed by evaluation metrics, namely SNR improvement, mean square error (MSE), mean absolute error (MAE), percentage of root-mean-square difference (PRD), Huber loss (HL), and the correlation coefficient (CC). The results of the proposed methods outperform the existing techniques of empirical mode decomposition, variational mode decomposition with a non-local mean approach, empirical wavelet transform, variational mode decomposition with a variable notch filter, and an AF with the least mean square (LMS) approach in terms of evaluation metrics and visual observation.

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M.K. Ahirwal, A. Kumar, G.K. Singh, EEG/ERP adaptive noise canceller design with controlled search space (CSS) approach in cuckoo and other optimization algorithms. IEEE/ACM Trans. Comput. Biol. Bioinf. 10(6), 1491–2150 (2013). https://doi.org/10.1109/TCBB.2013.119CrossRef

M. Bahaz, R. Benzid, Efficient algorithm for baseline wander and powerline noise removal from ECG signals based on discrete Fourier series. Australas. Phys. Eng. Sci. Med. 41(1), 143–160 (2018). https://doi.org/10.1007/s13246-018-0623-1CrossRef

M. Blanco-Velasco, B. Weng, K.E. Barner, ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Comput. Biol. Med. 38(1), 1–13 (2008). https://doi.org/10.1016/j.compbiomed.2007.06.003CrossRef

S. Boda, M. Mahadevappa, P.K. Dutta, A hybrid method for removal of power line interference and baseline wander in ECG signals using EMD and EWT. Biomed. Signal Process. Control 67(December 2020), 102466 (2021). https://doi.org/10.1016/j.bspc.2021.102466CrossRef

B. Chen, Y. Li, X. Cao, W. Sun, W. He, Removal of power line interference from ECG signals using adaptive notch filters of sharp resolution. IEEE Access 7, 150667–150676 (2019). https://doi.org/10.1109/ACCESS.2019.2944027CrossRef

B.R. de Oliveira, M.A.Q. Duarte, C.C. de Abreu, J.V. Filho, A wavelet-based method for power-line interference removal in ECG signals. Res. Biomed. Eng. 34(1), 73–86 (2018). https://doi.org/10.1590/2446-4740.01817CrossRef

M.M.U. Faiz, I. Kale, Removal of multiple artifacts from ECG signal using cascaded multistage adaptive noise cancellers. Array 14(August 2021), 100133 (2022). https://doi.org/10.1016/j.array.2022.100133CrossRef

A.G. Gad, Particle swarm optimization algorithm and its applications: a systematic review, in Archives of Computational Methods in Engineering (Vol. 29, Issue 5). Springer (2022). https://doi.org/10.1007/s11831-021-09694-4

A.H. Gandomi, X.S. Yang, A.H. Alavi, Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Eng. Comput. 29(1), 17–35 (2013). https://doi.org/10.1007/s00366-011-0241-yCrossRef

10.

A.L. Goldberger, L.A. Amaral, L. Glass, J.M. Hausdorff, P.C. Ivanov, R.G. Mark, J.E. Mietus, G.B. Moody, C.K. Peng, H.E. Stanley, PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals. Circulation (2000). https://doi.org/10.1161/01.cir.101.23.e215

11.

G. Han, B. Lin, Z. Xu, Electrocardiogram signal denoising based on empirical mode decomposition technique: an overview. J. Instrum. (2017). https://doi.org/10.1088/1748-0221/12/03/P03010CrossRef

12.

R.M. John, U.B. Tedrow, B.A. Koplan, C.M. Albert, L.M. Epstein, M.O. Sweeney, A.L. Miller, G.F. Michaud, Cardiac arrhythmia 3 ventricular arrhythmias and sudden cardiac death. The Lancet 380(9852), 1520–1529 (2012). https://doi.org/10.1016/S0140-6736(12)61413-5CrossRef

13.

D. Karaboga, B. Basturk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm. J. Global Optim. 39(3), 459–471 (2007). https://doi.org/10.1007/s10898-007-9149-xMathSciNetCrossRef

14.

S. Katoch, S.S. Chauhan, V. Kumar, V, A review on genetic algorithm: past, present, and future, in Multimedia Tools and Applications (Vol. 80, Issue 5). Multimedia Tools and Applications (2021). https://doi.org/10.1007/s11042-020-10139-6

15.

S. Kumar, D. Panigrahy, P.K. Sahu, Denoising of electrocardiogram (ECG) signal by using empirical mode decomposition (EMD) with non-local mean (NLM) technique. Integr. Med. Res. 38(2), 297–312 (2018). https://doi.org/10.1016/j.bbe.2018.01.005CrossRef

16.

S. Liu, Y. Li, X. Hu, L. Liu, D. Hao, A novel thresholding method in removing noises of electrocardiogram based on wavelet transform. J. Inf. Comput. Sci. 10(15), 5031–5041 (2013). https://doi.org/10.12733/jics20102845CrossRef

17.

S.A. Malik, S.A. Parah, B.A. Malik, Power line noise and baseline wander removal from ECG signals using empirical mode decomposition and lifting wavelet transform technique. Health Technol. 12(4), 745–756 (2022). https://doi.org/10.1007/s12553-022-00662-xCrossRef

18.

P. Mani, T. Ashish, K. Rama, K. Manjeet, A review on computational methods for denoising and detecting ECG signals to detect cardiovascular diseases, in Archives of Computational Methods in Engineering (Vol. 29, Issue 3). Springer (2022). https://doi.org/10.1007/s11831-021-09642-2

19.

H.Y. Mir, O. Singh, Powerline interference reduction in ECG signals using variable notch filter designed via variational mode decomposition. Analog Integr. Circuits Signal Process. 0123456789 (2023). https://doi.org/10.1007/s10470-023-02200-9

20.

D. Panigrahy, P.K. Sahu, Extended Kalman smoother with differential evolution technique for denoising of ECG signal. Australas. Phys. Eng. Sci. Med. 39(3), 783–795 (2016). https://doi.org/10.1007/s13246-016-0468-4CrossRef

21.

D. Panigrahy, P. Samal, Engineering applications of artificial intelligence modified lightning search algorithm for optimization. Eng. Appl. Artif. Intell. 105(June), 104419 (2021). https://doi.org/10.1016/j.engappai.2021.104419CrossRef

22.

A.K. Qin, V.L. Huang, P.N. Suganthan, (SADE) Adaptation for global numerical optimization. IEEE Commun. Mag. 13(2), 398–417 (2009)

23.

M.Z.U. Rahman, R.A. Shaik, D.V.R.K. Reddy, Efficient and simplified adaptive noise cancelers for ECG sensor based remote health monitoring. IEEE Sens. J. 12(3), 566–573 (2012). https://doi.org/10.1109/JSEN.2011.2111453CrossRef

24.

H. Shareef, A.A. Ibrahim, A.H. Mutlag, Lightning search algorithm. Appl. Soft Comput. J. 36, 315–333 (2015). https://doi.org/10.1016/j.asoc.2015.07.028CrossRef

25.

R.R. Sharma, R.B. Pachori, Baseline wander and power line interference removal from ECG signals using eigenvalue decomposition. Biomed. Signal Process. Control 45, 33–49 (2018). https://doi.org/10.1016/j.bspc.2018.05.002CrossRef

26.

O. Singh, R.K. Sunkaria, ECG signal denoising via empirical wavelet transform. Australas. Phys. Eng. Sci. Med. 40(1), 219–229 (2017). https://doi.org/10.1007/s13246-016-0510-6CrossRef

27.

P. Singh, G. Pradhan, Variational mode decomposition based ECG denoising using non-local means and wavelet domain filtering. Australas. Phys. Eng. Sci. Med. 41(4), 891–904 (2018). https://doi.org/10.1007/s13246-018-0685-0CrossRef

28.

A. Singhal, P. Singh, B. Fatimah, R.B. Pachori, An efficient removal of power-line interference and baseline wander from ECG signals by employing Fourier decomposition technique. Biomed. Signal Process. Control 57, 101741 (2020). https://doi.org/10.1016/j.bspc.2019.101741CrossRef

29.

M. Suchetha, N. Kumaravel, M. Jagannath, S.K. Jaganathan, A comparative analysis of EMD based filtering methods for 50 Hz noise cancellation in ECG signal. Inform. Med. Unlocked 8(2016), 54–59 (2017). https://doi.org/10.1016/j.imu.2017.01.003CrossRef

30.

J. Wang, R. Li, K. Li, H. Zeng, G. Xie, L. Liu, Adversarial de-noising of electrocardiogram. Neurocomputing 349, 212–224 (2019). https://doi.org/10.1016/j.neucom.2019.03.083CrossRef

31.

G.J.J. Warmerdam, R. Vullings, L. Schmitt, J.O.E.H. Van Laar, J.W.M. Bergmans, A fixed-lag Kalman smoother to filter power line interference in electrocardiogram recordings. IEEE Trans. Biomed. Eng. 64(8), 1852–1861 (2017). https://doi.org/10.1109/TBME.2016.2626519CrossRef

32.

P. Zhang, M. Jiang, Y. Li, L. Xia, Z. Wang, Y. Wu, Y. Wang, H. Zhang, An efficient ECG denoising method by fusing ECA-Net and CycleGAN. Math. Biosci. Eng. 20(7), 13415–13433 (2023). https://doi.org/10.3934/mbe.2023598CrossRef

Title: Optimized Adaptive Filter for Powerline Interference Cancellation in Electrocardiogram Signal Using a Modified Lightning Search Algorithm
Authors: Vinoth murugan
Damodar Panigrahy
Publication date: 29-06-2024
Publisher: Springer US
Published in: Circuits, Systems, and Signal Processing / Issue 10/2024
Print ISSN: 0278-081X
Electronic ISSN: 1531-5878
DOI: https://doi.org/10.1007/s00034-024-02766-3

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Optimized Adaptive Filter for Powerline Interference Cancellation in Electrocardiogram Signal Using a Modified Lightning Search Algorithm

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