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bioRxiv · 10.1101/2020.12.03.400226

pyActigraphy: open-source python package for actigraphy data visualisation and analysis

Hammad, G.·Reyt, M.·Beliy, N.·Baillet, M.·Deantoni, M.·Lesoinne, A.·Muto, V.·Schmidt, C.
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Abstract

Over the past 40 years, actigraphy has been used to study rest-activity patterns in circadian rhythm and sleep research. Furthermore, considering its simplicity of use, there is a growing interest in the analysis of large population-based samples, using actigraphy. Here, we introduce pyActigraphy, a comprehensive toolbox for data visualization and analysis including multiple sleep detection algorithms and rest-activity rhythm variables. This open-source python package implements methods to read multiple data formats, quantify various properties of rest-activity rhythms, visualize sleep agendas, automatically detect rest periods and perform more advanced signal processing analyses. The development of this package aims to pave the way towards the establishment of a comprehensive open-source software suite, supported by a community of both developers and researchers, that would provide all the necessary tools for in-depth and large scale actigraphy data analyses. Required MetadataO_ST_ABSCurrent code versionC_ST_ABS

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Hammad, G., Reyt, M., Beliy, N., Baillet, M., Deantoni, M., Lesoinne, A., Muto, V., Schmidt, C.. 2020-12-03. pyActigraphy: open-source python package for actigraphy data visualisation and analysis. https://doi.org/10.1101/2020.12.03.400226

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