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Proceedings of the 13th International
Congress of the World
Equine Veterinary Association
WEVA
October 3 - 5, 2013
Budapest, Hungary
Reprinted in IVIS with the Permission of the WEVA Organizers
Reprinted in IVIS with the permission of WEVA
Close this window to return to IVIS
Preliminary results of a 3D full body equine biomechanical model
Ivo Roupa1, Manuel Pequito2, José Prazeres3, Maria Gomes-Costa4, Rita Fonseca5, João
Abrantes6
1
Universidade Lusófona de Humanidades e Tecnologias, MovLab / CICANT, Lisboa,
Portugal
2
Universidade Lusófona de Humanidades e Tecnologias, CICV, Lisboa, Portugal
3
Universidade Lusófona de Humanidades e Tecnologias, CICV, Lisboa, Portugal
4
Universidade Lusófona de Humanidades e Tecnologias, MovLab / CICANT, Lisboa,
Portugal
5
Universidade Lusófona de Humanidades e Tecnologias, CICV, Lisboa, Portugal
6
Universidade Lusófona de Humanidades e Tecnologias, MovLab / CICANT, Lisboa,
Portugal
Introduction: 2D and 3D models are available for the biomechanical analysis of multiple
motor tasks of the horse. ViconÒ Oxford Metrics ™ passive optical system makes use of
infrared cameras and retro-reflective markers placed in selected bony landmarks in
accordance with the model design and objective.
Materials and Methods: A 12 year old Selle français, 1,70 meters high was assessed for a
lameness examination and further deemed appropriate for use in this study. The horse was
guided in a straight line, walking. The spatial-temporal and angular parameters of one stride
were analysed. 12 trials were collected with 9 infrared ViconÒ cameras (8 MX1.3 and 1
MX2.0) at 250 Hz within a 7,0 m x 1,5 m x 3,0 m (length x width x height) capture volume
with Nexus software from ViconÒ Oxford Metrics ™ and a 3D horse model (25 segments 104 markers). Such model was developed with BodyLanguageÒ programming language. 3D
segment motion was established according to Grood & Suntay (1983) using YXZ Euler
rotation. A 4th order low pass Butterworth 0 lag filter was applied to the experimental data
with a 12 Hz cut off frequency.
Results: The demonstrative data regard the left hindlimb. The same procedure was adopted
for the remaining limbs. The stride examined had a length of 1,85 meters and 1,13 seconds
duration. The following results were obtained from the left hip joint: max flexion (137,60);
max extension (92,50); max internal rotation (42,30); max external rotation (2,30); max
abduction (54,60); max adduction (34,30).
Conclusions: This model granted data acquisition wich i) allow the quantification of spatialtemporal parameters and linear and angular displacements of the horse in the sagital, frontal
and transverse planes at the walk; ii) describe the horse’s spatial-temporal parameters
behaviour and its intersegmental parameters thoroughly as well as identify characteristically
patterns of the horse’s walk. The model illustration can be contemplated on the webside:
http://equinebiomechanicsmovlab.wordpress.com/
13th International Congress of World Equine Veterinary Association, 2013 - Budapest, Hungary