Open-Source Python Module for the Analysis of Personalized Light Exposure Data from Wearable Light Loggers and Dosimeters

Grégory Hammada Sleep & Chronobiology Group, GIGA – CRC in Vivo Imaging, University of Liège, Liège, Belgium;b Chair of Neurogenetics, Institute of Human Genetics, University Hospital, Technical University of Munich, Munich, GermanyView further author information

Katharina Wulffc Department of Molecular Biology, Umea University, Umea, Sweden;d Wallenberg Centre for Molecular Medicine (WCMM), Umea University, Umea, SwedenView further author information

Debra J. Skenee Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UKView further author information

Mirjam Münchf Centre for Chronobiology, Psychiatric Hospital of the University of Basel, Basel, Switzerland;g Transfaculty Platform for Molecular and Cognitive Neuroscience, University of Basel, Basel, SwitzerlandView further author information

Manuel Spitschanh Translational Sensory & Circadian Neuroscience, Max Planck Institute for Biological Cybernetics, Tübingen, Germany;i TUM School of Medicine & Health, Technical University of Munich, Munich, Germany;j TUM Institute for Advanced Study, Technical University of Munich, Garching, GermanyCorrespondence[email protected]

https://orcid.org/0000-0002-8572-9268 View further author information

Open-Source Python Module for the Analysis of Personalized Light Exposure Data from Wearable Light Loggers and Dosimeters

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Open-Source Python Module for the Analysis of Personalized Light Exposure Data from Wearable Light Loggers and Dosimeters

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