Ghent University Academic Bibliography

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Acceptability of intensive ambulatory assessment combining four wearable sensors and ecological momentary assessment to assess physical and eating behaviors in adults : the WEALTH project

Jérôme Bouchan, Léopold K. Fezeu, Tomas Vetrovsky, Steriani Elavsky, Fabienne Delestre, Flore De Vylder (UGent) , Christoph Buck, Antje Hebestreit, Janas Harrington, Grainne Hayes, et al.

(2026) JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR. 9(1).
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Adapting the intensity gradient for use across commonly derived accelerometer epoch summary measures : a Learning network for Advanced Behavioural Data Analysis (LABDA) Project

Henrik R. Eckmann, Cameron Razieh, Sebastien Chastin (UGent) , Lauren B. Sherar, Bjørge H. Hansen and Alex V. Rowlands

(2025) JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR. 8(1).
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External validation of a hip-worn accelerometry-based machine learning model for physical behavior classification in free-living conditions

Annika Swenne, Luis Sigcha, Antje Hebestreit, Jérôme Bouchan, Richard Cimler, Greet Cardon (UGent) , Steriani Elavsky, Léopold K. Fezeu, Jitka Kühnová, Jean-Michel Oppert, et al.

(2025) JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR. 8(1).
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Converting raw accelerometer data to activity counts using open-source code : implementing a MATLAB code in Python and R, and comparing the results to ActiLife

Ruben Brondeel (UGent) , Yan Kestens, Javad Rahimipour Anaraki, Kevin Stanley, Benoit Thierry and Daniel Fuller

(2021) JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR. 4(3). p.205-211
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Characteristics of a protocol to collect objective physical activity/sedentary behavior data in a large study : Seniors USP (Understanding Sedentary Patterns)

Philippa M Dall, Dawn A Skelton, Manon L Dontje, Elaine H Coulter, Sally Stewart, Simon R Cox, Richard J Shaw, Iva Čukić, Claire F Fitzsimons, Carolyn A Greig, et al.

(2018) JOURNAL FOR THE MEASUREMENT OF PHYSICAL BEHAVIOUR. 1(1). p.26-31

Academic Bibliography

Acceptability of intensive ambulatory assessment combining four wearable sensors and ecological momentary assessment to assess physical and eating behaviors in adults : the WEALTH project

Adapting the intensity gradient for use across commonly derived accelerometer epoch summary measures : a Learning network for Advanced Behavioural Data Analysis (LABDA) Project

External validation of a hip-worn accelerometry-based machine learning model for physical behavior classification in free-living conditions

Converting raw accelerometer data to activity counts using open-source code : implementing a MATLAB code in Python and R, and comparing the results to ActiLife

Characteristics of a protocol to collect objective physical activity/sedentary behavior data in a large study : Seniors USP (Understanding Sedentary Patterns)

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