Display regression coefficients representing the mean change for specific devices as predicted by the regression model, compared against the criterion measure VO 2 . The first part of the table displays the values for total EEE, with the second part showing values adjusted by removing EPOC measurements, only analyzing moving time.

Display regression coefficients representing the mean change for specific devices as predicted by the regression model, compared against the criterion measure VO 2 . The first part of the table displays the values for total EEE, with the second part showing values adjusted by removing EPOC measurements, only analyzing moving time.

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The purpose of the study was to assess the accuracy of commonly used GPS/accelerometer-based tracking devices in the estimation of exercise energy expenditure (EEE) during high-intensity intermittent exercise. A total of 13 female soccer players competing at the highest level in Norway (age 20.5 ± 4.3 years; height 168.4 ± 5.1 cm; weight 64.1 ± 5.3...

Contexts in source publication

Context 1
... of regression analyses with VO 2 as outcome and the specific tracking device as predictors are given in Table 2. An unstandardized beta coefficient above or below 1 indicates under-versus overestimation, respectively. ...
Context 2
... for EEE IMU , unstandardized coefficient was 1.28, yielding a mean underestimation of 0.28 kJ. Adjusting the caloric estimation by removing EPOC from the estimated EEE VO2 score, produced lower unstandardized coefficients, hence yielding lower mean differences between estimated and true caloric expenditure values (0.23 kJ for GPS 1 , 0.66 kJ for GPS 2 and 0.11 kJ for IMU respectively ( Table 2). The regression analysis also displays increased disagreement between predicted EEE values for tracking devices, compared to the observed EEE, as caloric expenditure increases. ...