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Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters

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Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters. / Jeyhani, Vala; Mäntysalo, Matti; Noponen, Kai; Seppänen, Tapio; Vehkaoja, Antti.

2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2019. p. 3786-3790 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Jeyhani, V, Mäntysalo, M, Noponen, K, Seppänen, T & Vehkaoja, A 2019, Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters. in 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), IEEE, pp. 3786-3790, Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1/01/00. https://doi.org/10.1109/EMBC.2019.8857954

APA

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

Vancouver

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

Author

Jeyhani, Vala ; Mäntysalo, Matti ; Noponen, Kai ; Seppänen, Tapio ; Vehkaoja, Antti. / 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). IEEE, 2019. pp. 3786-3790 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)).

Bibtex - Download

@inproceedings{1929a385409d47719042afa4b377adb1,
title = "Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters",
abstract = "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.",
keywords = "Heart rate variability, Lead, Electrocardiography, Electrodes, Rail to rail inputs, Standards",
author = "Vala Jeyhani and Matti M{\"a}ntysalo and Kai Noponen and Tapio Sepp{\"a}nen and Antti Vehkaoja",
year = "2019",
month = "10",
day = "7",
doi = "10.1109/EMBC.2019.8857954",
language = "English",
isbn = "978-1-5386-1312-2",
series = "Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",
publisher = "IEEE",
pages = "3786--3790",
booktitle = "2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Effect of Different ECG Leads on Estimated R–R Intervals and Heart Rate Variability Parameters

AU - Jeyhani, Vala

AU - Mäntysalo, Matti

AU - Noponen, Kai

AU - Seppänen, Tapio

AU - Vehkaoja, Antti

PY - 2019/10/7

Y1 - 2019/10/7

N2 - 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.

AB - 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.

KW - Heart rate variability

KW - Lead

KW - Electrocardiography

KW - Electrodes

KW - Rail to rail inputs

KW - Standards

U2 - 10.1109/EMBC.2019.8857954

DO - 10.1109/EMBC.2019.8857954

M3 - Conference contribution

SN - 978-1-5386-1312-2

T3 - Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

SP - 3786

EP - 3790

BT - 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

PB - IEEE

ER -