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Abstract

This paper proposes a computerized heartbeat detection method in single-channel electrocardiograms (ECGs). First, the well-known Pan-Tompkins technique was implemented, and next, a channel-dependent version was developed, by adjusting threshold values and reducing false QRS detections. The algorithms were tested with the MIT-BIH Arrhythmia Database (original algorithm), and with the St. Petersburg Database (modified version). When validating the performances of the original Pan-Tompkins algorithm, we have achieved a sensitivity of Se = 99.81, at a positive predictivity (P+) = 99.85%. The F-Score was 0.9587, and the RMS RR Interval Error (RMSRRIE) resulted to be 4,480.46 ms. When analysing the performance of the modified algorithm, results provided an average value of Se = 99.92%, P+ = 99.98%, F-Score = 0.9718, and a mean value of 111.05 ms. for the RMSRRIE. In conclusion, the improved Pan-Tompkins algorithm provides higher values for sensitivity and positive predictivity, increased F-Score, and it significantly reduces the temporal error when estimating the positions of QRS complexes. Thus, it could be used as a starting point to detect heartbeat positions in more sophisticated computerized detection systems.

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AMA 10th edition
In-text citation: (1), (2), (3), etc.
Reference: Mondelo V, Lado MJ, Méndez AJ, Vila XA, Rodríguez-Liñares L. Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm. Journal of Information Systems Engineering & Management. 2017;2(3), 13. https://doi.org/10.20897/jisem.201713
APA 6th edition
In-text citation: (Mondelo et al., 2017)
Reference: Mondelo, V., Lado, M. J., Méndez, A. J., Vila, X. A., & Rodríguez-Liñares, L. (2017). Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm. Journal of Information Systems Engineering & Management, 2(3), 13. https://doi.org/10.20897/jisem.201713
Chicago
In-text citation: (Mondelo et al., 2017)
Reference: Mondelo, Víctor, María J. Lado, Arturo J. Méndez, Xosé A. Vila, and Leandro Rodríguez-Liñares. "Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm". Journal of Information Systems Engineering & Management 2017 2 no. 3 (2017): 13. https://doi.org/10.20897/jisem.201713
Harvard
In-text citation: (Mondelo et al., 2017)
Reference: Mondelo, V., Lado, M. J., Méndez, A. J., Vila, X. A., and Rodríguez-Liñares, L. (2017). Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm. Journal of Information Systems Engineering & Management, 2(3), 13. https://doi.org/10.20897/jisem.201713
MLA
In-text citation: (Mondelo et al., 2017)
Reference: Mondelo, Víctor et al. "Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm". Journal of Information Systems Engineering & Management, vol. 2, no. 3, 2017, 13. https://doi.org/10.20897/jisem.201713
Vancouver
In-text citation: (1), (2), (3), etc.
Reference: Mondelo V, Lado MJ, Méndez AJ, Vila XA, Rodríguez-Liñares L. Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm. Journal of Information Systems Engineering & Management. 2017;2(3):13. https://doi.org/10.20897/jisem.201713
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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