University of Oulu

V. Jeyhani, M. Mäntysalo, K. Noponen, T. Seppänen and A. Vehkaoja, "Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters," 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Berlin, Germany, 2019, pp. 3786-3790. doi: 10.1109/EMBC.2019.8857954

Effect of different ECG leads on estimated R–R intervals and heart rate variability parameters

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Author: Jeyhani, Vala1; Mäntysalo, Matti2; Noponen, Kai3;
Organizations: 1BioMediTech Institute and Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
2Faculty of Information Technology and Communication Sciences, Tampere University, Tampere, Finland
3Physiological Signal Analysis Group, Center for Machine Vision and Signal Analysis, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.5 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-03-24


Heart rate and heart rate variability parameters provide important information on sympathetic and parasympathetic branches of autonomous nervous system. These parameters are usually extracted from electrocardiograms often measured between two electrodes and called an ECG lead. Besides systems intended only for heart rate measurement, ECG measurement devices employ several well-known lead systems including the standard 12-lead system, EASI lead system and Mason-Likar systems. Therefore, the first step is to select the appropriate lead for heart rate variability analysis. The appropriate electrode locations for single-lead measurement systems or the preferred measurement lead in multi-lead measurement are choices that the user needs to make when the heart rate variability is of interest. However, it has not been addressed in the literature, if the lead selection has an effect on the obtained HRV parameters. In this work, we characterized the amount of deviation of heart rate and heart rate variability parameters extracted from nine ECG leads, six from EASI leads and three modified limb leads. The results showed a deviation of 2.04, 2.88, 2.06 and 3.45 ms in SDNN, rMSSD, SD1 and SD2, respectively. A relative difference up to 10% was observed in HRV parameters for single signal frames. Additionally, the discrimination of the R-peaks by amplitudes was evaluated. The A-S lead appeared to have the best performance in all the tests.

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Series: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
ISSN: 2375-7477
ISSN-E: 1557-170X
ISSN-L: 2375-7477
ISBN: 978-1-5386-1311-5
ISBN Print: 978-1-5386-1312-2
Pages: 3786 - 3790
DOI: 10.1109/EMBC.2019.8857954
Host publication: 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Conference: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Type of Publication: A4 Article in conference proceedings
Field of Science: 217 Medical engineering
Funding: This research was funded by the Finnish Funding Agency for Innovation (Tekes) and several Finnish companies as a part of VitalSens project. Funding decision number: 40103/14. Matti Mäntysalo and Antti Vehkaoja are supported by Academy of Finland (grant no. 288945 and 294119 for MM and grant no. 292477 for AV).
Academy of Finland Grant Number: 288945
Detailed Information: 288945 (Academy of Finland Funding decision)
294119 (Academy of Finland Funding decision)
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