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pyActigraphy, a toolbox for actigraphy data analysis #29
Description
Title
pyActigraphy, a toolbox for actigraphy data analysis
Presentor and Affiliation
Grégory Hammad1
Collaborators
Mathilde Reyt1, Michele Deantoni1, Christophe Phillips1, Christina Schmidt1,2, Vincenzo Muto1,2
- GIGA-CRC in vivo Imaging, University of Liège, Belgium
- Psychology and Neurosciences of Cognition (PsyNCog), Faculty of Psychology, University of Liège, Belgium
Github Link (if applicable)
Source code: https://github.com/ghammad/pyActigraphy
Documentation: https://ghammad.github.io/pyActigraphy/index.html
Abstract (max. 200 words):
Brain structure and the physical or locomotor activity. Whether it is the total amount of activity [1], the sleep fragmentation or the integrity of the circadian rhythmicity, these effects must be taken into account, as they can be of equivalent (or even greater) importance as the usual demographic covariates, such as the age. In addition, human brain functions are modulated by circadian and/or seasonal rhythmicity. As a matter of fact, the only practical way to assess, in-situ, the physical activity or the circadian rhythmicity over a period of several days is to use actigraphy.
pyActigraphy is an open source python package for actigraphy data visualization and analysis. It is supported by an extensive online documentation of its functionalities. It also integrates the best practices in terms of developments, such as continuous integration tests. It is thus the perfect companion toolkit for any brain imaging study.
Preferred Session
Oral session: 3. Demo: New advances in open neuroimaging methods
Lightning talk: 1. Neuroscience toolkit
Additional Context