Table 2.
Device | Inference (%) | Accuracy (%) | Absolute accuracy (%) | Energy expenditure difference (kcal) |
---|---|---|---|---|
Laboratory | ||||
MSB | 97.2 ± 2.9 | 92.1 ± 9.7 | 89.4 ± 6.6 | −10.0 ± 12.4 |
86.0–99.2 | 66.6–124.6 | 66.6–98.5 | −45.6 to 28.4 | |
Actical | N/A | 60.6 ± 10.5 | 60.6 ± 10.5 | −44.5 ± 16.1*,† |
N/A | 36.6–86.7 | 36.6–86.7 | −4.9 to −84.8 | |
Field | ||||
MSB | 83.8 ± 3.7 | 76.0 ± 10.1 | 76.0 ± 10.1 | −12.8 ± 6.5* |
70.1–91.2 | 58.1–96.5 | 58.1–96.5 | −1.2 to −26.0 | |
Actical | N/A | 65.5 ± 9.0 | 65.5 ± 9.0 | −18.4 ± 6.9*,† |
N/A | 44.7–88.2 | 44.7–88.2 | −4.6 to −33.0 |
Data for inference and accuracy are presented as the percent and standard deviation (SD) with the range indicated below, while the energy expenditure difference is presented as the mean and standard deviation difference between the calorimeter and device in kilocalories (kcal). Inference refers to measured activities from the multi-sensor board (MSB) compared to the recorded activity or “ground truth” (total number of correctly identified activities/total number of activities performed × 100). Accuracy of the energy expenditure estimates are expressed as the accuracy (total kilocalories computed from device/total kilocalories from the calorimeter × 100) and absolute accuracy {100 – absolute percentage error, where absolute percentage error = [(total kilocalories computed from device – total kilocalories from the calorimeter)/total kilocalories from the calorimeter] × 100}
Significant difference versus calorimeter at P < 0.001
Significant difference versus other device at P < 0.001