Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm

Víctor Mondelo; María J. Lado; Arturo J. Méndez; Xosé A. Vila; Leandro Rodríguez-Liñares

doi:10.20897/jisem.201713

Detection of Heart Beat Positions in ECG Recordings: A Lead-Dependent Algorithm

Víctor Mondelo ¹ ^* , María J. Lado ¹, Arturo J. Méndez ¹, Xosé A. Vila ¹, Leandro Rodríguez-Liñares ¹

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¹ Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
^* Corresponding Author

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Research Article

Journal of Information Systems Engineering and Management, 2017 - Volume 2 Issue 3, Article No: 13
https://doi.org/10.20897/jisem.201713

Published Online: 02 Aug 2017

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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 and Management, 2(3), 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. J INFORM SYSTEMS ENG. 2017;2(3):13. https://doi.org/10.20897/jisem.201713

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. J INFORM SYSTEMS ENG. 2017;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 and 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 and 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 and Management, vol. 2, no. 3, 2017, 13. https://doi.org/10.20897/jisem.201713

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.

KEYWORDS

electrocardiogram QRS heart beat detection single-channel multi-channel

REFERENCES

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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.