Maximal Oxygen Uptake in Breathing Exercises and Heart Rate Exercises Based on In-Depth Regression Equations

Min, Jinchan

doi:10.1155/2022/9664346

Cited by 2 publications

(2 citation statements)

References 24 publications

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“…The heart rate (HR), which increases with exertion, can be used to measure the intensity of an exercise session or to correlate with the maximum oxygen uptake VO 2,max as an indicator of aerobic endurance [32,33]; VO 2,max represents the maximum capacity of the human body to consume oxygen during activity. Hence, it is the most accurate and simple indicator for determining aerobic work capability [34]. A lower HR for a given exertion indicates greater cardiorespiratory and muscular fitness.…”

Section: Introductionmentioning

confidence: 99%

Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

et al. 2023

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The market for wrist-worn devices is growing at previously unheard-of speeds. A consequence of their fast commercialization is a lack of adequate studies testing their accuracy on varied populations and pursuits. To provide an understanding of wearable sensors for sports medicine, the present study examined heart rate (HR) measurements of four popular wrist-worn devices, the (Fitbit Charge (FB), Apple Watch (AW), Tomtom runner Cardio (TT), and Samsung G2 (G2)), and compared them with gold standard measurements derived by continuous electrocardiogram examination (ECG). Eight athletes participated in a comparative study undergoing maximal stress testing on a cycle ergometer or a treadmill. We analyzed 1,286 simultaneous HR data pairs between the tested devices and the ECG. The four devices were reasonably accurate at the lowest activity level. However, at higher levels of exercise intensity the FB and G2 tended to underestimate HR values during intense physical effort, while the TT and AW devices were fairly reliable. Our results suggest that HR estimations should be considered cautiously at specific intensities. Indeed, an effective intervention is required to register accurate HR readings at high-intensity levels (above 150 bpm). It is important to consider that even though none of these devices are certified or sold as medical or safety devices, researchers must nonetheless evaluate wrist-worn wearable technology in order to fully understand how HR affects psychological and physical health, especially under conditions of more intense exercise.

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Section: Introductionmentioning

confidence: 99%

Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

et al. 2023

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“…Balderrama et al [ 16 ] used mathematical models to estimate

from HR using a direct method. Furthermore, the following studies [ 17 , 18 ] established a stronger association between HR and

, indicating the fact that HR measurements taken during exercise could be used as predictor variables to estimate

.…”

Section: Introductionmentioning

confidence: 99%

Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models

Balakarthikeyan

Jais

Vijayarangan

et al. 2023

Sensors

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Wearable Heart Rate monitors are used in sports to provide physiological insights into athletes’ well-being and performance. Their unobtrusive nature and ability to provide reliable heart rate measurements facilitate the estimation of cardiorespiratory fitness of athletes, as quantified by maximum consumption of oxygen uptake. Previous studies have employed data-driven models which use heart rate information to estimate the cardiorespiratory fitness of athletes. This signifies the physiological relevance of heart rate and heart rate variability for the estimation of maximal oxygen uptake. In this work, the heart rate variability features that were extracted from both exercise and recovery segments were fed to three different Machine Learning models to estimate maximal oxygen uptake of 856 athletes performing Graded Exercise Testing. A total of 101 features from exercise and 30 features from recovery segments were given as input to three feature selection methods to avoid overfitting of the models and to obtain relevant features. This resulted in the increase of model’s accuracy by 5.7% for exercise and 4.3% for recovery. Further, post-modelling analysis was performed to remove the deviant points in two cases, initially in both training and testing and then only in training set, using k-Nearest Neighbour. In the former case, the removal of deviant points led to a reduction of 19.3% and 18.0% in overall estimation error for exercise and recovery, respectively. In the latter case, which mimicked the real-world scenario, the average R value of the models was observed to be 0.72 and 0.70 for exercise and recovery, respectively. From the above experimental approach, the utility of heart rate variability to estimate maximal oxygen uptake of large population of athletes was validated. Additionally, the proposed work contributes to the utility of cardiorespiratory fitness assessment of athletes through wearable heart rate monitors.

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Maximal Oxygen Uptake in Breathing Exercises and Heart Rate Exercises Based on In-Depth Regression Equations

Cited by 2 publications

References 24 publications

Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

Are Activity Wrist-Worn Devices Accurate for Determining Heart Rate during Intense Exercise?

Heart Rate Variability Based Estimation of Maximal Oxygen Uptake in Athletes Using Supervised Regression Models

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