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Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men

Despite the importance of cardiorespiratory fitness, no practical method exists to estimate maximal oxygen consumption (VO(2)max) without a specific exercise protocol. We developed an estimation model of VO(2)max, using maximal activity energy expenditure (aEEmax) as a new feature to represent the l...

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Autores principales: Ahn, Joong Woo, Hwang, Se Hee, Yoon, Chiyul, Lee, Joonnyong, Kim, Hee Chan, Yoon, Hyung-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Academy of Medical Sciences 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680492/
https://www.ncbi.nlm.nih.gov/pubmed/29115075
http://dx.doi.org/10.3346/jkms.2017.32.12.1947
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author Ahn, Joong Woo
Hwang, Se Hee
Yoon, Chiyul
Lee, Joonnyong
Kim, Hee Chan
Yoon, Hyung-Jin
author_facet Ahn, Joong Woo
Hwang, Se Hee
Yoon, Chiyul
Lee, Joonnyong
Kim, Hee Chan
Yoon, Hyung-Jin
author_sort Ahn, Joong Woo
collection PubMed
description Despite the importance of cardiorespiratory fitness, no practical method exists to estimate maximal oxygen consumption (VO(2)max) without a specific exercise protocol. We developed an estimation model of VO(2)max, using maximal activity energy expenditure (aEEmax) as a new feature to represent the level of physical activity. Electrocardiogram (ECG) and acceleration data were recorded for 4 days in 24 healthy young men, and reference VO(2)max levels were measured using the maximal exercise test. aEE was calculated using the measured acceleration data and body weight, while heart rate (HR) was extracted from the ECG signal. aEEmax was obtained using linear regression, with aEE and HR as input parameters. The VO(2)max was estimated from the aEEmax using multiple linear regression modeling in the training group (n = 16) and was verified in the test group (n = 8). High correlations between the estimated VO(2)max and the measured VO(2)max were identified in both groups, with a 15-hour recording being sufficient to produce a highly accurate VO(2)max estimate. Additional recording time did not significantly improve the accuracy of the estimation. Our VO(2)max estimation method provides a robust alternative to traditional approaches while only requiring minimal data acquisition time in daily life.
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spelling pubmed-56804922017-12-01 Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men Ahn, Joong Woo Hwang, Se Hee Yoon, Chiyul Lee, Joonnyong Kim, Hee Chan Yoon, Hyung-Jin J Korean Med Sci Original Article Despite the importance of cardiorespiratory fitness, no practical method exists to estimate maximal oxygen consumption (VO(2)max) without a specific exercise protocol. We developed an estimation model of VO(2)max, using maximal activity energy expenditure (aEEmax) as a new feature to represent the level of physical activity. Electrocardiogram (ECG) and acceleration data were recorded for 4 days in 24 healthy young men, and reference VO(2)max levels were measured using the maximal exercise test. aEE was calculated using the measured acceleration data and body weight, while heart rate (HR) was extracted from the ECG signal. aEEmax was obtained using linear regression, with aEE and HR as input parameters. The VO(2)max was estimated from the aEEmax using multiple linear regression modeling in the training group (n = 16) and was verified in the test group (n = 8). High correlations between the estimated VO(2)max and the measured VO(2)max were identified in both groups, with a 15-hour recording being sufficient to produce a highly accurate VO(2)max estimate. Additional recording time did not significantly improve the accuracy of the estimation. Our VO(2)max estimation method provides a robust alternative to traditional approaches while only requiring minimal data acquisition time in daily life. The Korean Academy of Medical Sciences 2017-12 2017-10-25 /pmc/articles/PMC5680492/ /pubmed/29115075 http://dx.doi.org/10.3346/jkms.2017.32.12.1947 Text en © 2017 The Korean Academy of Medical Sciences. https://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Ahn, Joong Woo
Hwang, Se Hee
Yoon, Chiyul
Lee, Joonnyong
Kim, Hee Chan
Yoon, Hyung-Jin
Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title_full Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title_fullStr Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title_full_unstemmed Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title_short Unobtrusive Estimation of Cardiorespiratory Fitness with Daily Activity in Healthy Young Men
title_sort unobtrusive estimation of cardiorespiratory fitness with daily activity in healthy young men
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5680492/
https://www.ncbi.nlm.nih.gov/pubmed/29115075
http://dx.doi.org/10.3346/jkms.2017.32.12.1947
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