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Journal of Neuroscience Methods|March 13, 1998
Prediction of dynamic tendon forces from electromyographic signals: an artificial neural network approachH H Savelberg, W HerzogActa Anatomica|January 1, 1992
Measurements of cross-sectional areas in selected human wrist-joint ligamentsJ G Kooloos, H H SavelbergJournal of Biomechanics|February 1, 1995
The influence of inhomogeneity in architecture on the modelled force-length relationship of musclesH H Savelberg, H C SchamhardtClinical Biomechanics (Bristol, Avon)|October 16, 1999
novel Award Third Prize Paper. Assessment of the horizontal,fore-aft component of the ground reaction force from insole pressure patterns by using artificial neural networksH H Savelberg, A L de LangeJournal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|December 22, 1999
Dynamic muscle force predictions from EMG: an artificial neural network approachM M Liu, W Herzog, H H SavelbergEquine Veterinary Journal|November 1, 1994
In vitro mechanical properties of the accessory ligament of the deep digital flexor tendon in horses in relation to ageC K Becker, H H Savelberg, A BarneveldEquine Veterinary Journal|February 10, 1999
The effect of orthopaedic shoeing on the force exerted by the deep digital flexor tendon on the navicular bone in horsesM A Willemen, H H Savelberg, A BarneveldEquine Veterinary Journal. Supplement|May 1, 1997
Ground reaction forces in horses, assessed from hoof wall deformation using artificial neural networksH H Savelberg, T Van Loon, H C SchamhardtJournal of Neuroscience Methods|June 8, 2001
A nerve stimulation method to selectively recruit smaller motor-units in rat skeletal muscleA I van Bolhuis, J Holsheimer, H H SavelbergThe Veterinary Quarterly|January 1, 1996
Load redistribution after desmotomy of the accessory ligament of the deep digital flexor tendon in adult horsesH H Buchner, H H Savelberg, C K BeckerPageof 4