Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest

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Standard

Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. / Hansen, Mikkel T.; Grønfeldt, Birk M.; Romer, Tue; Fogelstrom, Mathilde; Sørensen, Kasper; Schmidt, Samuel E.; Helge, Jørn W.

2021 Computing in Cardiology (CinC). Vol. 48 IEEE Press, 2021. (Computing in Cardiology, Vol. 48).

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Harvard

Hansen, MT, Grønfeldt, BM, Romer, T, Fogelstrom, M, Sørensen, K, Schmidt, SE & Helge, JW 2021, Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. in 2021 Computing in Cardiology (CinC). vol. 48, IEEE Press, Computing in Cardiology, vol. 48, 2021 Computing in Cardiology, CinC 2021, Brno, Czech Republic, 13/09/2021. https://doi.org/10.23919/CinC53138.2021.9662756

APA

Hansen, M. T., Grønfeldt, B. M., Romer, T., Fogelstrom, M., Sørensen, K., Schmidt, S. E., & Helge, J. W. (2021). Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. In 2021 Computing in Cardiology (CinC) (Vol. 48). IEEE Press. Computing in Cardiology Vol. 48 https://doi.org/10.23919/CinC53138.2021.9662756

Vancouver

Hansen MT, Grønfeldt BM, Romer T, Fogelstrom M, Sørensen K, Schmidt SE et al. Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. In 2021 Computing in Cardiology (CinC). Vol. 48. IEEE Press. 2021. (Computing in Cardiology, Vol. 48). https://doi.org/10.23919/CinC53138.2021.9662756

Author

Hansen, Mikkel T. ; Grønfeldt, Birk M. ; Romer, Tue ; Fogelstrom, Mathilde ; Sørensen, Kasper ; Schmidt, Samuel E. ; Helge, Jørn W. / Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest. 2021 Computing in Cardiology (CinC). Vol. 48 IEEE Press, 2021. (Computing in Cardiology, Vol. 48).

Bibtex

@inproceedings{bc8301f42b544332bad495b01c2283cd,
title = "Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest",
abstract = "Introduction: Assessment of maximal oxygen consumption (VO2max) is an important clinical tool when examining both healthy and unhealthy populations, as a low VO2max is associated with cardiovascular disease and all-cause mortality. Aim: This study investigated the accuracy of a non-exercise test for assessment of VO2max using seismocardiography (SCG). Methods: 97 participants (20-45 years, 50 males) underwent a nonexercise test using SCG at rest in the supine position (SCG VO2max) and a graded exercise test to voluntary exhaustion on a cycle ergometer with indirect calorimetry (IC VO2max). An interim analysis was applied after 50 participants had completed testing (SCG VO2max 1.0) allowing for the algorithm to be modified (SCG VO2max 2.1). Results: SCG VO2max 2.1 (n=47, test set) estimation was 3.5 pm 1.8 mlcdot min{-1}cdot kg{-1} (p < 0.001) lower compared to IC VO2max, with a Pearson correlation of r=0.65 (p < 0.0001) and a standard error of estimate of 7.1 ml·min-1 ·kg-1. The coefficient of variation between tests was 8 pm 1%. Conclusion: The accuracy of VO2max assessment using SCG requires further optimization prior to clinical application, as SCG VO2max was systematically lower than IC VO2max, and only a moderate correlation together with considerable variation were observed between tests. ",
author = "Hansen, {Mikkel T.} and Gr{\o}nfeldt, {Birk M.} and Tue Romer and Mathilde Fogelstrom and Kasper S{\o}rensen and Schmidt, {Samuel E.} and Helge, {J{\o}rn W.}",
note = "Publisher Copyright: {\textcopyright} 2021 Creative Commons.; 2021 Computing in Cardiology, CinC 2021 ; Conference date: 13-09-2021 Through 15-09-2021",
year = "2021",
doi = "10.23919/CinC53138.2021.9662756",
language = "English",
volume = "48",
series = "Computing in Cardiology",
publisher = "IEEE Press",
booktitle = "2021 Computing in Cardiology (CinC)",

}

RIS

TY - GEN

T1 - Determination of Maximal Oxygen Uptake Using Seismocardiography at Rest

AU - Hansen, Mikkel T.

AU - Grønfeldt, Birk M.

AU - Romer, Tue

AU - Fogelstrom, Mathilde

AU - Sørensen, Kasper

AU - Schmidt, Samuel E.

AU - Helge, Jørn W.

N1 - Publisher Copyright: © 2021 Creative Commons.

PY - 2021

Y1 - 2021

N2 - Introduction: Assessment of maximal oxygen consumption (VO2max) is an important clinical tool when examining both healthy and unhealthy populations, as a low VO2max is associated with cardiovascular disease and all-cause mortality. Aim: This study investigated the accuracy of a non-exercise test for assessment of VO2max using seismocardiography (SCG). Methods: 97 participants (20-45 years, 50 males) underwent a nonexercise test using SCG at rest in the supine position (SCG VO2max) and a graded exercise test to voluntary exhaustion on a cycle ergometer with indirect calorimetry (IC VO2max). An interim analysis was applied after 50 participants had completed testing (SCG VO2max 1.0) allowing for the algorithm to be modified (SCG VO2max 2.1). Results: SCG VO2max 2.1 (n=47, test set) estimation was 3.5 pm 1.8 mlcdot min{-1}cdot kg{-1} (p < 0.001) lower compared to IC VO2max, with a Pearson correlation of r=0.65 (p < 0.0001) and a standard error of estimate of 7.1 ml·min-1 ·kg-1. The coefficient of variation between tests was 8 pm 1%. Conclusion: The accuracy of VO2max assessment using SCG requires further optimization prior to clinical application, as SCG VO2max was systematically lower than IC VO2max, and only a moderate correlation together with considerable variation were observed between tests.

AB - Introduction: Assessment of maximal oxygen consumption (VO2max) is an important clinical tool when examining both healthy and unhealthy populations, as a low VO2max is associated with cardiovascular disease and all-cause mortality. Aim: This study investigated the accuracy of a non-exercise test for assessment of VO2max using seismocardiography (SCG). Methods: 97 participants (20-45 years, 50 males) underwent a nonexercise test using SCG at rest in the supine position (SCG VO2max) and a graded exercise test to voluntary exhaustion on a cycle ergometer with indirect calorimetry (IC VO2max). An interim analysis was applied after 50 participants had completed testing (SCG VO2max 1.0) allowing for the algorithm to be modified (SCG VO2max 2.1). Results: SCG VO2max 2.1 (n=47, test set) estimation was 3.5 pm 1.8 mlcdot min{-1}cdot kg{-1} (p < 0.001) lower compared to IC VO2max, with a Pearson correlation of r=0.65 (p < 0.0001) and a standard error of estimate of 7.1 ml·min-1 ·kg-1. The coefficient of variation between tests was 8 pm 1%. Conclusion: The accuracy of VO2max assessment using SCG requires further optimization prior to clinical application, as SCG VO2max was systematically lower than IC VO2max, and only a moderate correlation together with considerable variation were observed between tests.

U2 - 10.23919/CinC53138.2021.9662756

DO - 10.23919/CinC53138.2021.9662756

M3 - Article in proceedings

AN - SCOPUS:85124773829

VL - 48

T3 - Computing in Cardiology

BT - 2021 Computing in Cardiology (CinC)

PB - IEEE Press

T2 - 2021 Computing in Cardiology, CinC 2021

Y2 - 13 September 2021 through 15 September 2021

ER -

ID: 334310774