- Work address
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Watersportlaan 2
9000 Gent - Rud.Derie@UGent.be
- ORCID iD
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0000-0002-7181-5528
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Predicting gait events from tibial acceleration in rearfoot running: a structured machine learning approach
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- Journal Article
- A1
- open access
Tibial acceleration-based prediction of maximal vertical loading rate during overground running : a machine learning approach
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- Conference Paper
- C3
- open access
Rearfoot running in athletic footwear : (a)typical rearfoot and resultant peak tibial acceleration
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Consolidation of the atypical rearfoot strike pattern in distance runners and linkage to tibial shocks
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Machine learning as a tool to predict impact loading during over-ground distance running
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Assessing the potential of the qualitative trajectory calculus to detect gait pathologies : a case study of children with developmental coordination disorder
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Real-time music-based biofeedback to reduce impact loading during over-ground running
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Resultant peak tibial acceleration is a measure of impact loading in overground rearfoot running : a validation and reliability study across speeds
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Magnitude and spatial distribution of impact intensity under the foot relates to initial foot contact pattern
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- Conference Paper
- C3
- open access
Monitoring and analysis of training load and physical performance in elite soccer