Influence of Accelerometer Calibration on the Estimation of Objectively Measured Physical Activity: The Tromsø Study

Marc Weitz, B. Morseth, L. Hopstock, Alexander Horsch
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Abstract

Accelerometers are increasingly used to observe human behavior such as physical activity under free-living conditions. An important prerequisite to obtain reliable results is the correct calibration of the sensors. However, accurate calibration is often neglected, leading to potentially biased results. Here, we demonstrate and quantify the effect of accelerometer miscalibration on the estimation of objectively measured physical activity under free-living conditions. The total volume of moderate to vigorous physical activity (MVPA) was significantly reduced after post hoc auto-calibration for uniaxial and triaxial count data, as well as for Euclidean Norm Minus One and mean amplitude deviation raw data. Weekly estimates of MVPA were reduced on average by 5.5, 9.2, 45.8, and 4.8 min, respectively, when compared to the original uncalibrated estimates. Our results indicate a general trend of overestimating physical activity when using factory-calibrated sensors. In particular, the accuracy of estimates derived from the Euclidean Norm Minus One feature suffered from uncalibrated sensors. For all modalities, the more uncalibrated the sensor was, the more MVPA was overestimated. This might especially affect studies with lower sample sizes.
加速度计校准对客观测量的体力活动量估算的影响:特罗姆瑟研究
加速度计越来越多地用于观察人类行为,如自由生活条件下的体力活动。获得可靠结果的一个重要前提是正确校准传感器。然而,精确校准往往被忽视,导致结果可能出现偏差。在此,我们展示并量化了加速度计误校准对自由生活条件下客观测量的体力活动估算的影响。在对单轴和三轴计数数据以及欧氏负一规范和平均振幅偏差原始数据进行事后自动校准后,中度到剧烈运动(MVPA)的总量明显减少。与未经校准的原始估计值相比,每周 MVPA 估计值平均分别减少了 5.5 分钟、9.2 分钟、45.8 分钟和 4.8 分钟。我们的研究结果表明,在使用出厂校准传感器时,普遍存在高估体力活动量的趋势。特别是,根据欧氏负一特征得出的估计值的准确性受到了未经校准的传感器的影响。在所有模式中,传感器未校准的程度越高,MVPA 被高估的程度就越高。这可能会对样本量较少的研究产生特别大的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
2.90
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