Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running
| العنوان: | Data fusion of body-worn accelerometers and heart rate to predict VO2max during submaximal running |
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| المؤلفون: | Benedicte Vanwanseele, Jesse Davis, Tim Op De Beéck, Arne De Brabandere, Kurt H. Schütte, Wannes Meert |
| المصدر: | PLoS ONE PLoS ONE, Vol 13, Iss 6, p e0199509 (2018) |
| بيانات النشر: | Public Library of Science (PLoS), 2018. |
| سنة النشر: | 2018 |
| مصطلحات موضوعية: | Physiology, lcsh:Medicine, Accelerometer, Running, Mathematical and Statistical Techniques, 0302 clinical medicine, Heart Rate, Medicine and Health Sciences, Public and Occupational Health, 030212 general & internal medicine, Treadmill, lcsh:Science, Mathematics, Multidisciplinary, Physics, Classical Mechanics, VO2 max, Sports Science, Signal Filtering, Chemistry, Mean absolute percentage error, Physical Sciences, Engineering and Technology, Regression Analysis, Statistics (Mathematics), Research Article, Chemical Elements, medicine.medical_specialty, Acceleration, Cardiology, Linear Regression Analysis, Research and Analysis Methods, 03 medical and health sciences, Physical medicine and rehabilitation, Heart rate, medicine, Humans, Sports and Exercise Medicine, Statistical Methods, Exercise physiology, Exercise, Biological Locomotion, lcsh:R, Heart rate monitor, Biology and Life Sciences, Cardiorespiratory fitness, Physical Activity, 030229 sport sciences, Models, Theoretical, Oxygen, Physical Fitness, Signal Processing, Linear Models, lcsh:Q, Electronics, Accelerometers |
| الوصف: | Maximal oxygen uptake (VO2max) is often used to assess an individual’s cardiorespiratory fitness. However, measuring this variable requires an athlete to perform a maximal exercise test which may be impractical, since this test requires trained staff and specialized equipment, and may be hard to incorporate regularly into training programs. The aim of this study is to develop a new model for predicting VO2max by exploiting its relationship to heart rate and accelerometer features extracted during submaximal running. To do so, we analyzed data collected from 31 recreational runners (15 men and 16 women) aged 19-26 years who performed a maximal incremental test on a treadmill. During this test, the subjects’ heart rate and acceleration at three locations (the upper back, the lower back and the tibia) were continuously measured. We extracted a wide variety of features from the measurements of the warm-up and the first three stages of the test and employed a data-driven approach to select the most relevant ones. Furthermore, we evaluated the utility of combining different types of features. Empirically, we found that combining heart rate and accelerometer features resulted in the best model with a mean absolute error of 2.33 ml ⋅ kg−1 ⋅ min−1 and a mean absolute percentage error of 4.92%. The model includes four features: gender, body mass, the inverse of the average heart rate and the inverse of the variance of the total tibia acceleration during the warm-up stage of the treadmill test. Our model provides a practical tool for recreational runners in the same age range to estimate their VO2max from submaximal running on a treadmill. It requires two body-worn sensors: a heart rate monitor and an accelerometer positioned on the tibia. ispartof: PLoS One vol:13 issue:6 ispartof: location:United States status: Published online |
| وصف الملف: | Electronic-eCollection |
| تدمد: | 1932-6203 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::17b21233ae590294c12e6caf9f4ef743 https://doi.org/10.1371/journal.pone.0199509 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....17b21233ae590294c12e6caf9f4ef743 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19326203 |
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