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Journal Articles Journal of Science and Medicine in Sport Year : 2018

Using GPS, accelerometry and heart rate to predict outdoor graded walking energy expenditure

S. Chaudru
  • Function : Author
M. Emily
  • Function : Author
M. Gernigon
  • Function : Author
G. Mahé
  • Function : Author
S. Bickert
  • Function : Author
J. Prioux
  • Function : Author
B. Noury-Desvaux
  • Function : Author
A. Le Faucheur

Abstract

Objectives: To determine the best method and combination of methods among global positioning system (GPS), accelerometry, and heart rate (HR) for estimating energy expenditure (EE) during level and graded outdoor walking. Design: Thirty adults completed 6-min outdoor walks at speeds of 2.0, 3.5, and 5.0 km h-1 during three randomized outdoor walking sessions: one level walking session and two graded (uphill and downhill) walking sessions on a 3.4% and a 10.4% grade. EE was measured using a portable metabolic system (K4b 2). Participants wore a GlobalSat ® DG100 GPS receiver, an ActiGraph TM wGT3X+ accelerometer, and a Polar ® HR monitor. Linear mixed models (LMMs) were tested for EE predictions based on GPS speed and grade, accelerometer counts or HR-related parameters (alone and combined). Root-mean-square error (RMSE) was used to determine the accuracy of the models. Published speed/grade-, count-, and HR-based equations were also cross-validated. Results: According to the LMMs, GPS was as accurate as accelerometry (RMSE = 0.89-0.90 kcal min-1) and more accurate than HR (RMSE = 1.20 kcal min-1) for estimating EE during level walking; GPS was the most accurate method for estimating EE during both level and uphill (RMSE = 1.34 kcal min-1)/downhill (RMSE = 0.84 kcal min-1) walking; combining methods did not increase the accuracy reached using GPS (or accelerometry for level walking). The cross-validation results were in accordance with the LMMs, except for downhill walking. Conclusions: Our study provides useful information regarding the best method(s) for estimating EE with appropriate equations during level and graded outdoor walking.
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hal-04454343 , version 1 (13-02-2024)

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P.-Y. de Müllenheim, S. Chaudru, M. Emily, M. Gernigon, G. Mahé, et al.. Using GPS, accelerometry and heart rate to predict outdoor graded walking energy expenditure. Journal of Science and Medicine in Sport, 2018, 21 (2), pp.166-172. ⟨10.1016/j.jsams.2017.10.004⟩. ⟨hal-04454343⟩
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