@Article{info:doi/10.2196/36762,
author="Adamowicz, Lukas
and Christakis, Yiorgos
and Czech, Matthew D
and Adamusiak, Tomasz",
title="SciKit Digital Health: Python Package for Streamlined Wearable Inertial Sensor Data Processing",
journal="JMIR Mhealth Uhealth",
year="2022",
month="Apr",
day="21",
volume="10",
number="4",
pages="e36762",
keywords="wearable sensors; digital medicine; gait analysis; human movement analysis; digital biomarkers; uHealth; wearable; sensor; gait; movement; mobility; physical activity; sleep; Python; coding; open source; software package; algorithm; machine learning; data science; computer programming",
issn="2291-5222",
doi="10.2196/36762",
url="https://mhealth.jmir.org/2022/4/e36762",
url="https://doi.org/10.2196/36762",
url="http://www.ncbi.nlm.nih.gov/pubmed/35353039"
}