Journal of Information Systems Engineering & Management

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

Víctor Mondelo E-MAIL CORRESPONDING AUTHOR
Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
Department of Computer Science, ESEI, Universidade de Vigo Ourense, SPAIN
Journal : Journal of Information Systems Engineering & Management, Volume 2, Issue 3

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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