t work-flows include re-calibration <span class="citation">(to reduce systematic measurement error; Van Hees et al., <a href="#ref-VanHees2014">2014</a>)</span>, the detection of non-wear periods (to ensure that non-informative data are removed or imputed), sub-sampling (reducing the sample rate to reduce analysis time) and filtering/aggregation (to smoothen the signal and reduce the impact of outliers, measurement error and occasional missing values). Study results can be highly dependent on these initial 