2007
DOI: 10.2746/042516407x185719
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Assessment of mild hindlimb lameness during over ground locomotion using linear discriminant analysis of inertial sensor data

Abstract: A mobile system that reliably detects and quantifies hindlimb lameness in horses during unconstrained locomotion could be a valuable tool to perform an evidence-based assessment of lameness in horses in a clinical setting, e.g. before and after nerve blocks or before and after surgery.

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Cited by 71 publications
(80 citation statements)
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References 35 publications
(40 reference statements)
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“…Improvements in sensor technology and miniaturisation now allow user-friendly quantification of over ground locomotion. One or multiple uni-axial accelerometers (Barrey et al, 1995;Barrey and Galloux, 1997;Weishaupt et al, 1993;Keegan et al, 2004;Halling Thomsen et al, 2010), gyroscopes (Gouwanda and Arosha Senanayake, 2011) or 6 Degree of Freedom (DoF) inertial measurement units (Pfau et al, 2005(Pfau et al, , 2006(Pfau et al, , 2007 are employed for this purpose. Six DoF inertial sensors have the advantage of enabling the capture of rotational and translational information in 3D space, allowing movement in any desired direction to be calculated (Pfau et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…Improvements in sensor technology and miniaturisation now allow user-friendly quantification of over ground locomotion. One or multiple uni-axial accelerometers (Barrey et al, 1995;Barrey and Galloux, 1997;Weishaupt et al, 1993;Keegan et al, 2004;Halling Thomsen et al, 2010), gyroscopes (Gouwanda and Arosha Senanayake, 2011) or 6 Degree of Freedom (DoF) inertial measurement units (Pfau et al, 2005(Pfau et al, , 2006(Pfau et al, , 2007 are employed for this purpose. Six DoF inertial sensors have the advantage of enabling the capture of rotational and translational information in 3D space, allowing movement in any desired direction to be calculated (Pfau et al, 2005).…”
Section: Introductionmentioning
confidence: 99%
“…In an attempt to achieve objectivity and to automate lameness detection, various researchers have recently used biomechanical and computer vision techniques to assess lameness in a range of species including horses (Pfau et al, 2007), cattle (Viazzi et al, 2014a;van Hertem et al, 2013) and pigs (Meijer et al, 2014;Pluym et al, 2013). Temporal gait variables (stance times), measures of asymmetry between left and right limbs and the arching of the back are the most widely used gait variables for automated lameness detection in cows (Viazzi et al, 2014a;van Nuffel et al, 2009).…”
Section: Introductionmentioning
confidence: 98%
“…In addition to accurate orientation data they can be used to calculate high accuracy displacement data (Pfau et al, 2005). This technique has been applied for measurement of linear and rotational kinematic variables on animals during over ground locomotion (Pfau et al, 2006(Pfau et al, , 2007Parsons et al, under review). Compared to traditional gold standard kinetic (force platforms) and kinematic (e.g.…”
Section: Introductionmentioning
confidence: 98%