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Validation of Aerobic Capacity (VO2max) and Pulse Oximetry in Wearable Technology.

作者信息

Carrier Bryson, Marten Chaves Sofia, Navalta James W

机构信息

School of Integrated Health Sciences, Department of Kinesiology and Nutrition Sciences, University of Nevada, Las Vegas, NV 89154, USA.

出版信息

Sensors (Basel). 2025 Jan 6;25(1):275. doi: 10.3390/s25010275.


DOI:10.3390/s25010275
PMID:39797066
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11723475/
Abstract

INTRODUCTION: As wearable technology becomes increasingly popular and sophisticated, independent validation is needed to determine its accuracy and potential applications. Therefore, the purpose of this study was to evaluate the accuracy (validity) of VO2max estimates and blood oxygen saturation measured via pulse oximetry using the Garmin fēnix 6 with a general population participant pool. METHODS: We recruited apparently healthy individuals (both active and sedentary) for VO2max (n = 19) and pulse oximetry testing (n = 22). VO2max was assessed through a graded exercise test and an outdoor run, comparing results from the Garmin fēnix 6 to a criterion measurement obtained from a metabolic system. Pulse oximetry involved comparing fēnix 6 readings under normoxic and hypoxic conditions against a medical-grade pulse oximeter. Data analysis included descriptive statistics, error analysis, correlation analysis, equivalence testing, and bias assessment, with the validation criteria set at a concordance correlation coefficient (CCC) > 0.7 and a mean absolute percentage error (MAPE) < 10%. RESULTS: The Garmin fēnix 6 provided accurate VO2max estimates, closely aligning with the 15 s and 30 s averaged laboratory data (MAPE for 30 s avg = 7.05%; Lin's concordance correlation coefficient for 30 s avg = 0.73). However, it failed to accurately measure blood oxygen saturation (BOS) under any condition or combined analysis (MAPE for combined conditions BOS = 4.29%; Lin's concordance correlation coefficient for combined conditions BOS = 0.10). CONCLUSION: While the Garmin fēnix 6 shows promise for estimating the VO2max, reflecting its utility for both individuals and researchers, it falls short in accurately measuring BOS, limiting its application for monitoring acclimatization and managing pulmonary diseases. This research underscores the importance of validating wearable technology to leverage its full potential in enhancing personal health and advancing public health research.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/040f/11723475/1fb74ab35d57/sensors-25-00275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/040f/11723475/fc2a741a2ab6/sensors-25-00275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/040f/11723475/1fb74ab35d57/sensors-25-00275-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/040f/11723475/fc2a741a2ab6/sensors-25-00275-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/040f/11723475/1fb74ab35d57/sensors-25-00275-g002.jpg

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本文引用的文献

[1]
Assessing the Validity of Several Heart Rate Monitors in Wearable Technology While Mountain Biking.

Int J Exerc Sci. 2023-11-1

[2]
Use of Wearable Devices in Individuals With or at Risk for Cardiovascular Disease in the US, 2019 to 2020.

JAMA Netw Open. 2023-6-1

[3]
Is estimated cardiorespiratory fitness an effective predictor for cardiovascular and all-cause mortality? A meta-analysis.

Atherosclerosis. 2021-8

[4]
The Use of Pulse Oximetry in the Assessment of Acclimatization to High Altitude.

Sensors (Basel). 2021-2-10

[5]
Wearable Technology and How This Can Be Implemented into Clinical Practice.

Curr Allergy Asthma Rep. 2020-6-6

[6]
Continuous physiological monitoring using wearable technology to inform individual management of infectious diseases, public health and outbreak responses.

Int J Infect Dis. 2020-6-1

[7]
Accuracy of Optical Heart Rate Sensing Technology in Wearable Fitness Trackers for Young and Older Adults: Validation and Comparison Study.

JMIR Mhealth Uhealth. 2020-4-28

[8]
A standardized validity assessment protocol for physiological signals from wearable technology: Methodological underpinnings and an application to the E4 biosensor.

Behav Res Methods. 2020-4

[9]
Standardizing Analytic Methods and Reporting in Activity Monitor Validation Studies.

Med Sci Sports Exerc. 2019-8

[10]
Using wearable technology to predict health outcomes: a literature review.

J Am Med Inform Assoc. 2018-9-1

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