ECG Noise Reduction with the Use of the Ant Lion Optimizer Algorithm
Abstract
The electrocardiogram (ECG) signal is susceptible to noise and artifacts and it is essential to remove that noise in order to support any decision making for automatic heart disorder diagnosis systems. In this paper, the use of Ant Lion Optimizer (ALO) for optimizing and identifying the cutoff frequency of the ECG signal for low-pass filtering is investigated. Generally, the spectrums of the ECG signal are extracted from two classes: arrhythmia and supraventricular. Baseline wander is removed by a moving median filter. A dataset of the extracted features of the ECG spectrums is used to train the ALO. The performance of the ALO is investigated. The ALO-identified cutoff frequency is applied to a Finite Impulse Response (FIR) filter and the resulting signal is evaluated against the original clean and conventional filtered ECG signals. The results show that the intelligent ALO-based system successfully denoised the ECG signals more effectively than the conventional method. The accuracy percentage increased by 2%.
Keywords:
ant lion optimazation (ALO), electrocardiogram (ECG), finite impulse response (FIR), cutoff frequencyDownloads
References
N. Singh, S. Ayub, J. P. Saini, “Design of Digital IIR Filter for Noise Reduction in ECG Signal”, 5th International Conference and Computational Intelligence and Communication Networks, Mathura, India, September 27-29, 2013 DOI: https://doi.org/10.1109/CICN.2013.45
M. N. Salman, P. T. Rao, M. Z. U. Rahman, “Novel logarithmic reference free adaptive signal enhancers for ECG analysis of wireless cardiac care monitoring systems”, IEEE Access, Vol. 6, pp. 46382-46395, 2018 DOI: https://doi.org/10.1109/ACCESS.2018.2866303
Y. A. Altay, A. S. Kremlev, “Analysis and Systematization of Noise Arising by Long-Term Recording of ECG Signal”, IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, Moscow, Russia, January 29-February 1, 2018 DOI: https://doi.org/10.1109/EIConRus.2018.8317271
G. Singh, G. Kaur, V. Kumar, “ECG Denoising Using Adaptive Selection of IMFs Through EMD and EEMD”, International Conference on Data Science & Engineering, Kochi, India, August 26-28, 2014 DOI: https://doi.org/10.1109/ICDSE.2014.6974643
A. Alzahrani, S. Hu, “An Effective Solution to Reduce Motion Artefact in New Generation Reflectance Pulse Oximeter”, 2013 Saudi International Electronics, Communications and Photonics Conference, Fira, Greece, April 27-30, 2013 DOI: https://doi.org/10.1109/SIECPC.2013.6550736
S. Jain, S. Pathak, B. Kumar, “A Robust Design and Analysis of Analog Front End for Portable ECG Acquisition System”, IEEE Region 10 Humanitarian Technology Conference, Agra, India, December 21-23, 2017 DOI: https://doi.org/10.1109/R10-HTC.2016.7906815
Y. Nagasato, S. Izumi, H. Kawaguchi, M. Yoshimoto, “Capacitively Coupled ECG Sensor System with Digitally Assisted Noise Cancellation for Wearable Application”, IEEE Biomedical Circuits and Systems Conference, Turin, Italy, October 19-21, 2017 DOI: https://doi.org/10.1109/BIOCAS.2017.8325162
T. Peng, M. Trew, A. Malik, “Parametric Modeling of Electrocardiograms Using Particle Swarm Optimization”, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Honolulu, USA, July 18–21, 2018 DOI: https://doi.org/10.1109/EMBC.2018.8512814
M. Z. U. Rahman, R. A. Shaik, D. V. R. K. Reddy, “An Efficient Noise Cancellation Technique to Remove Noise from the ECG Signal Using Normalized Signed Regressor LMS Algorithm”, IEEE International Conference on Bioinformatics and Biomedicine, Washington, USA, November 1-4, 2009 DOI: https://doi.org/10.1109/BIBM.2009.39
A. C. Mugdha, F. S. Rawnaque, M. U. Ahmed, “A Study of Recursive Least Squares (RLS) Adaptive Filter Algorithm in Noise Removal from ECG Signals”, International Conference on Informatics, Electronics & Vision, Fukuoka, Japan, June 15-18, 2015 DOI: https://doi.org/10.1109/ICIEV.2015.7333998
A. A. Tawfiq, M. A. Elhameed, A. A. Elgawad, “Antlion Optimizer for Effective Integration of Distributed Generation in Radial Electrical Distribution Networks”, Nineteenth International Middle East Power Systems Conference, Cairo, Egypt, December 19-21, 2018 DOI: https://doi.org/10.1109/MEPCON.2017.8301191
B. Paul, P. Mythili, “ECG Noise Removal Using GA Tuned Sign-Data Least Mean Square Algorithm”, IEEE International Conference on Advanced Communication Control and Computing Technologies, Ramanathapuram, India, August 23-25, 2012 DOI: https://doi.org/10.1109/ICACCCT.2012.6320750
P. Agarwalla, S. Mukhopadhyay, “Efficient Coordinator Guided Particle Swarm Optimization for Real-Parameter Optimization”, 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, Noida, India, January 12-13, 2017 DOI: https://doi.org/10.1109/CONFLUENCE.2017.7943134
F. Melgani, Y. Bazi, “Classification of electrocardiogram signals with support vector machines and particle swarm optimization”, IEEE Transactions on Information Technology in Biomedicine, Vol. 12, No. 5, pp. 667-677, 2008 DOI: https://doi.org/10.1109/TITB.2008.923147
S. Moein, R. Logeswaran, “Intelligent ECG signal noise removal using PSONN”, International Journal of Computer Applications, Vol. 45, No. 6, pp. 9-17, 2012
S. Kockanat, T. Koza, N. Karaboga, M. E. Erkoc, “Noise Cancellation Application of ECG Signal Using Artificial Bee Colony Algorithm”, 24th Signal Processing and Communication Application Conference, Zonguldak, Turkey, May 16-19, 2016 DOI: https://doi.org/10.1109/SIU.2016.7495915
M. Raju, L. C. Saikia, N. Sinha, D. Saha, “Application of Antlion Optimizer Technique in Restructured Automatic Generation Control of Two-Area Hydro-Thermal System Considering Governor Dead Band”, Innovations in Power and Advanced Computing Technologies, Vellore, India, April 21-22, 2017 DOI: https://doi.org/10.1109/IPACT.2017.8245099
H. M. Zawbaa, E. Emary, B. Parv, “Feature Selection Based on Antlion Optimization Algorithm”, Third World Conference on Complex Systems, Marrakech, Morocco, November 23-25, 2015 DOI: https://doi.org/10.1109/ICoCS.2015.7483317
A. A. Amaireh, A. Alzoubi, N. I. Dib, “Design of Linear Antenna Arrays Using Antlion and Grasshopper Optimization Algorithms”, IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies, Aqaba, Jordan, Ocober 11-13, 2017 DOI: https://doi.org/10.1109/AEECT.2017.8257746
H. S. E. Mansour, A. A. Abdelsalam, M. Nabil, A. A. Sallam, “Optimal Capacitor Banks Allocation in Distribution Systems with Distributed Generators Using Antlion Optimizer”, Nineteenth International Middle East Power Systems Conference, Cairo, Egypt, December 19-21, 2017 DOI: https://doi.org/10.1109/MEPCON.2017.8301306
S. Verma, V. Mukherjee, “Optimal real power rescheduling of generators for congestion management using a novel ant lion optimiser”, Institution of Engineering and Technology Generation, Transmission & Distribution, Vol. 10, No. 10, pp. 2548-2561, 2016 DOI: https://doi.org/10.1049/iet-gtd.2015.1555
S. Mirjalili, “The ant lion optimizer”, Advances in Engineering Software, Vol. 83, pp. 80–98, 2015 DOI: https://doi.org/10.1016/j.advengsoft.2015.01.010
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