scispace - formally typeset
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.

Papers
More filters
Journal ArticleDOI

The effect of passive vertebral rotation on pressure in the nucleus pulposus

TL;DR: The results showed that rotary movements are capable of causing an immediate increase in disc height and drop in nucleus pressure, however, the long-term effects were opposite in direction.
Journal ArticleDOI

Effects of leg muscle fatigue on gait in patients with Parkinson's disease and controls with high and low levels of daily physical activity.

TL;DR: Physical activity level does not appear to modify the effects of lower limb muscle fatigue during unobstructed walking in individuals with PD or controls.
Journal ArticleDOI

The poro-elastic behaviour of the intervertebral disc: A new perspective on diurnal fluid flow.

TL;DR: As diurnal loading occurs closer to loading equilibrium, fluid inflow during night time unloading can balance fluid outflow during daytime loading, despite a longer time-constant, a new hypothesis for diurnal fluid flow is provoked.
Journal ArticleDOI

The biomechanics of running and running styles: a synthesis.

TL;DR: In this article, the authors present a comprehensive description of the full spectrum of running styles using spatiotemporal parameters and their relationship with speed, ground reaction force and whole-body kinematics.
Journal ArticleDOI

Cart pushing: The effects of magnitude and direction of the exerted push force, and of trunk inclination on low back loading

TL;DR: In this paper, the authors quantify the relative effect of the magnitude and direction of the exerted push force and of trunk inclination on the mechanical load at the low back using a regression analysis for correlated data.