Evidence map›Paper›PMID 34665807›Full record

ArticlePLoS computational biology2021

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

Grégory Hammad, Mathilde Reyt, Nikita Beliy, Marion Baillet, Michele Deantoni, Alexia Lesoinne, Vincenzo Muto, Christina Schmidt

Abstract read
In one paragraph

Article in PLoS computational biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

33 citing papers in PubMed.

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  15. Sleep trajectories across three cognitive-aging pathways in community older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Grégory HammadGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0003-1083-3869
Mathilde ReytGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0001-5501-5216
Nikita BeliyGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.
Marion BailletGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0002-1003-4787
Michele DeantoniGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0002-7629-4645
Alexia LesoinneGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.
Vincenzo MutoGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0001-5100-9927
Christina SchmidtGIGA-CRC In vivo Imaging, University of Liège, Liège, Belgium.ORCID 0000-0002-9867-012X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Data VisualizationSoftwareActigraphyAlgorithmsComputational BiologyHumansSignal Processing, Computer-AssistedSleep

Identifiers

PMID34665807
PMCPMC8555797

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.