Literature DB >> 12163307

Fourier analysis of trunk displacements: a method to identify the lame limb in trotting horses.

Fabrice Audigié1, Philippe Pourcelot, Christophe Degueurce, Didier Geiger, Jean Marie Denoix.   

Abstract

The aim of this paper is to present a method allowing the identification of the lame limb in trotting horses. Using a 3-D kinematic analysis system, 13 sound and 25 lame horses fitted with 4 skin markers placed on the dorsal midline of their trunk were recorded while trotting on a track in the conditions of the routine lameness examination. The vertical displacements of the trunk markers underwent Fourier analysis. Results indicated that these displacements could be represented using only the first and second harmonics. From these two harmonics, indices were then developed. The sensitivity of these indices to the different types of experimental errors was also studied. Results showed that the values of the indices of the lame horses were relatively unaffected by the experimental errors. In lame horses, these indices allowed the quantification of the degree of the lameness, the identification of lame limb with a reliability > 95% and the characterisation of the type of trunk movements. These indices could be easily implemented in a computer program to provide objective information to the clinician or to be used as a first step in the development of an expert system. Moreover, these clinical tools may also be extended to other quadrupedal or bipedal locomotions.

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Year:  2002        PMID: 12163307     DOI: 10.1016/s0021-9290(02)00089-1

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  2 in total

1.  Walk-run classification of symmetrical gaits in the horse: a multidimensional approach.

Authors:  Sandra D Starke; Justine J Robilliard; Renate Weller; Alan M Wilson; Thilo Pfau
Journal:  J R Soc Interface       Date:  2008-07-29       Impact factor: 4.118

2.  Kinematic gait characteristics of straight line walk in clinically sound dairy cows.

Authors:  M Tijssen; F M Serra Braganςa; K Ask; M Rhodin; P H Andersen; E Telezhenko; C Bergsten; M Nielen; E Hernlund
Journal:  PLoS One       Date:  2021-07-21       Impact factor: 3.240

  2 in total

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