pyActigraphy: Open-source python package for actigraphy data visualization and analysis.

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...

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Autores principales:	Grégory Hammad, Mathilde Reyt, Nikita Beliy, Marion Baillet, Michele Deantoni, Alexia Lesoinne, Vincenzo Muto, Christina Schmidt
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/28dfdd0ff44243aaa665187ff73bad21
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id	oai:doaj.org-article:28dfdd0ff44243aaa665187ff73bad21
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spelling	oai:doaj.org-article:28dfdd0ff44243aaa665187ff73bad212021-12-02T19:57:28ZpyActigraphy: Open-source python package for actigraphy data visualization and analysis.1553-734X1553-735810.1371/journal.pcbi.1009514https://doaj.org/article/28dfdd0ff44243aaa665187ff73bad212021-10-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009514https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Over 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.Grégory HammadMathilde ReytNikita BeliyMarion BailletMichele DeantoniAlexia LesoinneVincenzo MutoChristina SchmidtPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 10, p e1009514 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Grégory Hammad Mathilde Reyt Nikita Beliy Marion Baillet Michele Deantoni Alexia Lesoinne Vincenzo Muto Christina Schmidt pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
description	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.
format	article
author	Grégory Hammad Mathilde Reyt Nikita Beliy Marion Baillet Michele Deantoni Alexia Lesoinne Vincenzo Muto Christina Schmidt
author_facet	Grégory Hammad Mathilde Reyt Nikita Beliy Marion Baillet Michele Deantoni Alexia Lesoinne Vincenzo Muto Christina Schmidt
author_sort	Grégory Hammad
title	pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
title_short	pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
title_full	pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
title_fullStr	pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
title_full_unstemmed	pyActigraphy: Open-source python package for actigraphy data visualization and analysis.
title_sort	pyactigraphy: open-source python package for actigraphy data visualization and analysis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/28dfdd0ff44243aaa665187ff73bad21
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pyActigraphy: Open-source python package for actigraphy data visualization and analysis.

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