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Journal of Sports Sciences Volume 34, 2016 - Issue 19
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Original Articles

Identifying waking time in 24-h accelerometry data in adults using an automated algorithm

Julianne D. van der BergDepartment of Social Medicine, Maastricht University, Maastricht, The Netherlands;CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The NetherlandsView further author information
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Paul J. B. WillemsDepartment of Human Movement Sciences, Maastricht University, Maastricht, The Netherlands;NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The NetherlandsView further author information
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Jeroen H. P. M. van der VeldeDepartment of Human Movement Sciences, Maastricht University, Maastricht, The Netherlands;NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands;Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The NetherlandsView further author information
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Hans H. C. M. SavelbergDepartment of Human Movement Sciences, Maastricht University, Maastricht, The Netherlands;NUTRIM School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The NetherlandsView further author information
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Nicolaas C. SchaperCAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands;Department of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands;CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The NetherlandsView further author information
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Miranda T. SchramDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands;CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The NetherlandsView further author information
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Simone J. S. SepDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands;CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The NetherlandsView further author information
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Pieter C. DagnelieCAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The Netherlands;CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands;Department of Epidemiology, Maastricht University, Maastricht, The NetherlandsView further author information
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Hans BosmaDepartment of Social Medicine, Maastricht University, Maastricht, The Netherlands;CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The NetherlandsView further author information
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Coen D. A. StehouwerDepartment of Internal Medicine, Maastricht University Medical Center+ (MUMC+), Maastricht, The Netherlands;CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The NetherlandsView further author information
&
Annemarie KosterDepartment of Social Medicine, Maastricht University, Maastricht, The Netherlands;CAPHRI School for Public Health and Primary Care, Maastricht University, Maastricht, The NetherlandsCorrespondence[email protected]
View further author information
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Pages 1867-1873 | Accepted 05 Jan 2016, Published online: 02 Feb 2016

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Laura Nauha, Vahid Farrahi, Heidi Jurvelin, Timo Jämsä, Maisa Niemelä, Maarit Kangas & Raija Korpelainen. (2023) Comparison and agreement between device-estimated and self-reported sleep periods in adults. Annals of Medicine 55:1.
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Golnoush Mehrabani, Saeideh Aminian, Sarah Norton, Robert W. Motl & Patricia J. Manns. (2022) Preliminary efficacy of the “SitLess with MS” intervention for changing sedentary behaviour, symptoms, and physical performance in multiple sclerosis. Disability and Rehabilitation 44:21, pages 6374-6381.
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Aria Khademi, Yasser EL-Manzalawy, Lindsay Master, Orfeu M Buxton & Vasant G Honavar. (2019) Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach. Nature and Science of Sleep 11, pages 387-399.
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