ArticleJournal of exercise science and fitness2019
Accuracy of the energy expenditure during uphill exercise measured by the Waist-worn ActiGraph.
Article in Journal of exercise science and fitness, 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, 12 citations in OpenAlex.
- Validity of Actigraph for Measuring Energy Expenditure in Healthy Adults: A Systematic Review and Meta-Analysis.Sensors (Basel, Switzerland) · 2023Pooled it
- IMU-Based Energy Expenditure Estimation for Various Walking Conditions Using a Hybrid CNN-LSTM Model.Sensors (Basel, Switzerland) · 2024Article
- An Investigation of Surface EMG Shorts-Derived Training Load during Treadmill Running.Sensors (Basel, Switzerland) · 2023Article
- Chinese Compilation of Physical Activities in healthy adults aged 18-64: Categories and metabolic intensities.Sports medicine and health science · 2022Article
- The Validity of the Energy Expenditure Criteria Based on Open Source Code through two Inertial Sensors.Sensors (Basel, Switzerland) · 2022Article
- Feasibility of the Energy Expenditure Prediction for Athletes and Non-Athletes from Ankle-Mounted Accelerometer and Heart Rate Monitor.Scientific reports · 2020Article
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4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
objectiveThe application of Micro-Electro-Mechanical Sensors (MEMS) as measurements of energy expenditure (EE) has certain disadvantages. For example, the inertial sensors cannot easily distinguish changes in ground slope during walking/running conditions, so the accuracy of EE calculation is biased. To resolve this issue, heart rate (HR) and heart rate reserve (HRR) were used as compensatory factors respectively to correct the classical empirical formula of the accelerometer analyzer for EE in this study.
methodsTo explore the improvement of the accuracy of EE during uphill exercise and compare the correction levels between HR and HRR, oxygen uptake was used as a criterion measure (CM). Thirty healthy adult males wore an ActiGraph GT3X with the Polar HR monitor and Vmax indirect calorimeter during twelve treadmill activities (3 gradients and 4 speeds).
resultsWhen the slopes were increased by 0%, 3%, and 6%, the measurement accuracy of the accelerometers, calculated by intraclass correlation coefficient (ICC), decreased by 0.877, 0.755, and 0.504, respectively (p < 0.05). The HR and HRR parameters of linear regression were used to correct the classical formula. The results showed that HR had higher coefficients of determination (R2) (0.801, 0.700, and 0.642 respectively) and ICCs (0.887, 0.825, and 0.785 respectively) than did the accelerometer outputs. HRR showed the highest coefficients of determination (R2) (0.821, 0.728, and 0.656 respectively) and ICCs (0.901, 0.844, and 0.795 respectively).
conclusionsThrough adding HRR parameters, the accuracy of the classical prediction formula EE was significantly improved during walking/running on sloping ground.
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