Rienk van der Slikke

Dr. Rienk van der Slikke

The Hague University of Applied Sciences
orcid

Research Focus & Metrics

Academic Career Length

25Years (2002-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2006 in Journal of Clinical Epidemiology
Verified
Journal Article
Closed access
CTCaroline B. Terwee
Caroline B. Terwee
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
RLRob C. van Lummel
Rob C. van Lummel
RBRob J. Benink
Rob J. Benink
WMWil G.H. Meijers
Wil G.H. Meijers
HVHenrica C.W. de Vet
Henrica C.W. de Vet

1 January 2006 in Journal of Biomechanics
Verified
Journal Article
Closed access
MBMiranda C. Boonstra
Miranda C. Boonstra
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
NKNoël L.W. Keijsers
Noël L.W. Keijsers
RLRob C. van Lummel
Rob C. van Lummel
MMMaarten C. de Waal Malefijt
Maarten C. de Waal Malefijt
NVNico Verdonschot
Nico Verdonschot

1 September 2015 in Journal of Biomechanics
Verified
Journal Article
Closed access
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
MBM.A.M. Berger
M.A.M. Berger
DBD.J.J. Bregman
D.J.J. Bregman
ALA.H. Lagerberg
A.H. Lagerberg
HVH.E.J. Veeger
H.E.J. Veeger

1 October 2016 in Journal of Biomechanics
Verified
Journal Article
Closed access
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
MBM.A.M. Berger
M.A.M. Berger
DBD.J.J. Bregman
D.J.J. Bregman
HVH.E.J. Veeger
H.E.J. Veeger

6 June 2019 in PLOS ONE
Verified
Journal Article
Open access
PDF file
TRThomas Rietveld
Thomas Rietveld
Riemer JK VegterRiemer JK Vegter
Riemer JK Vegter
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
AHAldo E. Hoekstra
Aldo E. Hoekstra
LWLucas H. V. van der Woude
Lucas H. V. van der Woude
SGSonja De Groot
Sonja De Groot
The purpose of the current study was to assess the inter-trial reliability and construct validity (talented juniors vs. international adult players) of four wheelchair tennis field tests using inertial measurement units (IMUs). Twenty-one elite wheelchair tennis players completed four tests, which evaluate the sprinting and manoeuvrability abilities in wheelchair tennis. During all tests 3 IMUs were attached to both wheels and the frame of the athlete’s wheelchair. The IMUs enabled analysis of individual test dynamic characteristics, i.e. the linear/rotational velocity and acceleration data, as well as detected pushes. All tests showed high ICCs (0.95–0.99) for the inter-trial reliability for the IMU-based end times and also the construct validity was good, i.e. talented juniors could be discriminated from international adults. Also, velocities and accelerations during the tests could be consistently visualized, meaning that differences in test performance among participants could be designated. Within the experimental context, the field tests could be regarded as reliable and valid. With the use of IMUs it is possible to verify more detailed performance characteristics, visualize the test execution, as well as differentiate between a talented junior and international adult group and within individuals over time.

21 June 2020 in Sensors
Verified
Journal Article
Open access
PDF file
Rienk van der SlikkeRienk van der Slikke
Rienk van der Slikke
MBMonique A. M. Berger
Monique A. M. Berger
DBDaan J. J. Bregman
Daan J. J. Bregman
H.E.J. (DirkJan) VeegerH.E.J. (DirkJan) Veeger
H.E.J. (DirkJan) Veeger
Athlete impairment level is an important factor in wheelchair mobility performance (WMP) in sports. Classification systems, aimed to compensate impairment level effects on performance, vary between sports. Improved understanding of resemblances and differences in WMP between sports could aid in optimizing the classification methodology. Furthermore, increased performance insight could be applied in training and wheelchair optimization. The wearable sensor-based wheelchair mobility performance monitor (WMPM) was used to measure WMP of wheelchair basketball, rugby and tennis athletes of (inter-)national level during match-play. As hypothesized, wheelchair basketball athletes show the highest average WMP levels and wheelchair rugby the lowest, whereas wheelchair tennis athletes range in between for most outcomes. Based on WMP profiles, wheelchair basketball requires the highest performance intensity, whereas in wheelchair tennis, maneuverability is the key performance factor. In wheelchair rugby, WMP levels show the highest variation comparable to the high variation in athletes’ impairment levels. These insights could be used to direct classification and training guidelines, with more emphasis on intensity for wheelchair basketball, focus on maneuverability for wheelchair tennis and impairment-level based training programs for wheelchair rugby. Wearable technology use seems a prerequisite for further development of wheelchair sports, on the sports level (classification) and on individual level (training and wheelchair configuration).