Open AccesspyActigraphy: Open-source python package for actigraphy data visualization and analysis
Author(s) -
G. H. Hammad,
Mathilde Reyt,
Nikita Beliy,
Marion Baillet,
Michele Deantoni,
Alexia Lesoinne,
Vincenzo Muto,
Christina Schmidt
Publication year - 2021
Publication title -
plos computational biology/plos computational biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.628
H-Index - 182
eISSN - 1553-7358
pISSN - 1553-734X
DOI - 10.1371/journal.pcbi.1009514
Subject(s) - actigraphy , python (programming language) , suite , computer science , toolbox , visualization , open source , software , population , data mining , data science , circadian rhythm , programming language , history , demography , archaeology , neuroscience , sociology , biology
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.