ArticlePeerJ2019
Correction of estimation bias of predictive equations of energy expenditure based on wrist/waist-mounted accelerometers.
Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Current Knowledge about ActiGraph GT9X Link Activity Monitor Accuracy and Validity in Measuring Steps and Energy Expenditure: A Systematic Review.Sensors (Basel, Switzerland) · 2024Pooled it
- Degrading stimuli by reducing image resolution impairs performance in a rodent continuous performance test.Behavioural processes · 2023Article
- Analysis of physiological tremors during different intensities of armcurl exercises using wearable three-axis accelerometers in healthy young men: a pilot study.Physical activity and nutrition · 2022Article
- The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors.Sensors (Basel, Switzerland) · 2022Article
- Assessment of Physical Activity in Adults Using Wrist Accelerometers.Epidemiologic reviews · 2022Review
- The Validity of MotionSense HRV in Estimating Sedentary Behavior and Physical Activity under Free-Living and Simulated Activity Settings.Sensors (Basel, Switzerland) · 2021Article
- Feasibility of the Energy Expenditure Prediction for Athletes and Non-Athletes from Ankle-Mounted Accelerometer and Heart Rate Monitor.Scientific reports · 2020Article
- Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundUsing wearable inertial sensors to accurately estimate energy expenditure (EE) during an athletic training process is important. Due to the characteristics of inertial sensors, however, the positions in which they are worn can produce signals of different natures. To understand and solve this issue, this study used the heart rate reserve (HRR) as a compensation factor to modify the traditional empirical equation of the accelerometer EE sensor and examine the possibility of improving the estimation of energy expenditure for sensors worn in different positions.
methodsIndirect calorimetry was used as the criterion measure (CM) to measure the EE of 90 healthy adults on a treadmill (five speeds: 4.8, 6.4, 8.0, 9.7, and 11.3 km/h). The measurement was simultaneously performed with the ActiGraph GT9X-Link (placed on the wrist and waist) with the Polar H10 Heart Rate Monitor.
resultsAt the same exercise intensity, the EE measurements of the GT9X on the wrist and waist had significant differences from those of the CM (
conclusionsThe EE estimation equation combining the VM of accelerometer measurements, BW and HRR greatly enhanced the accuracy of EE estimation based on data from accelerometers worn in different positions, particularly from those on the wrist.
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