Combining 12-Lead ECG Information for a Beat Detection Algorithm

DOI: https://doi.org/10.26729/jadi.v3i1.2436

Abstract

This paper proposes a beat detection algorithm specially tailored to be used with 12 channel ECG records. The algorithm first obtains beat positions on each channel, and then combines this information to get an improved estimate. The detection process involves two stages: 1) single-channel detection: implemented by improving one of the most popular methods (Pan-Tompkins) developed to detect beat positions; and 2) multichannel detection: an algorithm that combines the information of the beat positions obtained in each of the 12 channels. In this way, our results clearly improve those obtained with the single-channel detection method, discarding detection errors, false positives, and duplicated beats. Besides, our single-channel method significantly reduces the temporal error when estimating the positions of QRS complexes. In the multichannel detection, the assessment of our algorithm against one-channel based approaches shows a significant improvement in detection outcome (Se = 99.86%, P+ = 99.98%, RMS RR Interval Error = 25.98 ms, F-Score = 0.9992), making it a good starting point for automatic diagnosis of heart conditions.

Author Biographies

Víctor Mondelo, University of Vigo

Víctor Mondelo was born in 1988 in San Clodio (Spain). He received the M.Sc. degree in Computer Science Engineering from the University of Vigo in 2013.
He is presently doctoral student of Computer Science at the University of Vigo, Ourense, Spain. His research interests include biomedical signal processing.

María José Lado, University of Vigo

María J. Lado was born in 1971 in Santiago de Compostela (Spain). She received the B.Sc. and Ph.D. degrees in Physics from the University of Santiago de Compostela, in 1995 and 1999, respectively.
She is presently Associate Professor of Computer Science at the University of Vigo, Ourense, Spain. Her research interests include computer-aided diagnosis systems in medical imaging and biomedical signal processing.

Arturo José Méndez, University of Vigo

Arturo J. Méndez was born in 1969 in Ourense (Spain). He received the B.Sc. and Ph.D. degrees in Physics from the University of Santiago de Compostela, in 1993 and 1996, respectively.
He is presently Associate Professor of Computer Science at the University of Vigo, Ourense, Spain. His research interests include computer-aided diagnosis systems in medical imaging and biomedical signal processing.

Xosé Antón Vila, University of Vigo

Xosé A. Vila was born in 1968 in Ourense (Spain). He received the B.Sc. and Ph.D. degrees in Physics from the University of Santiago de Compostela, in 1991 and 1997, respectively.
He was Associate Professor of Computer Science in the Electronic and Computer Science Department. In 2006 he moved to University of Vigo. His research interests include patient monitoring and biomedical signal processing. A second line is focused on technologies in education, educational platforms and learning objects.

Leandro Rodríguez-Liñares, University of Vigo

Leandro Rodríguez-Liñares was born in 1967 in Santiago de Compostela (Spain). He received the B.Sc and Ph.D. degrees in Telecommunications Engineering from the University of Vigo in 1994 and 1999, respectively.
He is presently Associate Professor of Computer Science at the University of Vigo, Ourense, Spain. His research interests include Natural Language Interfaces, Biometrics, Computer Assisted Education and Signal Processing in general.

Published
2017-08-30
How to Cite
MONDELO, Víctor et al. Combining 12-Lead ECG Information for a Beat Detection Algorithm. Journal on Advances in Theoretical and Applied Informatics, [S.l.], v. 3, n. 1, p. 5-9, aug. 2017. ISSN 2447-5033. Available at: <https://revista.univem.edu.br/jadi/article/view/2436>. Date accessed: 24 dec. 2024. doi: https://doi.org/10.26729/jadi.v3i1.2436.
Citation Formats
Issue
Vol 3 No 1 (2017): Selected papers from the XII Iberian Conference on Systems and Information Technology (CISTI)
Section
Articles

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