Abstract
Electrical activities of the heart can be recorded in the form of ECG which is a composite recording of all the action potentials produced by the nodes and the cells of the myocardium. Each wave or segment of ECG corresponds to certain events of the cardiac electrical cycle among which QRS complex is essential to detect the heartbeat. In this paper, we propose an ECG beat detection algorithm using signal processing. The detection algorithm is based on S-G noise filter and saturation filter algorithm. MATLAB signal processing tool is used to detect the heart rate from QRS complex of filtered ECG signals. The experimental results demonstrate the proposed architecture that achieves an efficient detection performance by exhibiting 99.6186% detection accuracy for the MIT-BIH arrhythmia tested dataset.
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Shammi, S.K., Bin Hasan, F., Uddin, J. (2020). An Approach for Detecting Heart Rate Analyzing QRS Complex in Noise and Saturation Filtered ECG Signal. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Computational Intelligence. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3607-6_20
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DOI: https://doi.org/10.1007/978-981-15-3607-6_20
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-3606-9
Online ISBN: 978-981-15-3607-6
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