J
Jaap H. van Dieën
Researcher at VU University Amsterdam
Publications - 482
Citations - 20482
Jaap H. van Dieën is an academic researcher from VU University Amsterdam. The author has contributed to research in topics: Trunk & Gait (human). The author has an hindex of 70, co-authored 452 publications receiving 17247 citations. Previous affiliations of Jaap H. van Dieën include University of British Columbia & University of Mannheim.
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Segment inertial parameter evaluation in two anthropometric models by application of a dynamic linked segment model
TL;DR: Analyzing only one kind of movement does not suffice to draw conclusions with respect to the reliability of an anthropometric model, and the overall performance in terms of coefficients of correlation was better for the geometric model as compared to the proportional model.
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Removing ECG contamination from EMG recordings: A comparison of ICA-based and other filtering procedures
TL;DR: The use of independent component analysis (ICA) for removing ECG contamination and the ICA-based filtering can produce excellent results when EMG and ECG are indeed statistically independent and when mode selection is flexibly adjusted to the data set under study.
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Identification of fall risk predictors in daily life measurements: gait characteristics' reliability and association with self-reported fall history.
Sietse M. Rispens,Kimberley S. van Schooten,Mirjam Pijnappels,Andreas Daffertshofer,Peter J. Beek,Peter J. Beek,Jaap H. van Dieën,Jaap H. van Dieën +7 more
TL;DR: Daily life gait characteristics are associated with fall history in older adults and can be reliably estimated from a week of ambulatory trunk acceleration measurements, which are complementary to questionnaire- or laboratory-based gait and balance assessments.
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The role of dorsal shear forces in the pathogenesis of adolescent idiopathic scoliosis – A hypothesis
TL;DR: It is postulate that these dorsal shear forces, acting exclusively upon specific regions of the human spine, may contribute to rotational instability of the spine.
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Can co-activation reduce kinematic variability? A simulation study
TL;DR: The simulations support the idea that muscular co-activation is in principle an effective strategy to meet accuracy demands.