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• W754616676 abstract "Christian Babski, Ronan Boulic, Daniel ThalmannSwiss Federal Institute of Technology Lausanne, Computer Graphics Laboratory,IN-Ecublens, 1015 Lausanne, SwitzerlandPierre-Francois Leyvraz, Pierre-Yves ZambelliHopital Orthopedique de la Suisse Romande, P.Decker 4, 1005 LausannePatrick GenoudLaboratoire de Cinesiologie, Clinique Orthopedique, Hopital Cantonal Universitaire de GeneveAbstract : We propose a new approach for thecharacterization of walking motion based on theinformation of marker trajectories. From these data wederive a set of time-related parameters which dependonly on the relative configuration of the markers. Theresulting parameter’s trajectories present two qualities:an important robustness with respect to the softtissues perturbations together with a high correlationwith the anatomical angle’s variations. This makethem good candidates for the qualitative comparison ofmotions acquired with the same marker set. Weillustrate the method on the knee joint for which anormal walking motion and a reference motion wererecorded. Finally, we indicate an alternate applicationof this information.1 Introduction The analysis of walking motion is an operationwhich presently requires a significant clinical experiencein order to evaluate precisely a patient gait. The motionanalysis with optical systems still suffers from toostrong hypothesis on the definition of anatomical axiesin the process of kinematic angles determination. Thisis especially true for the knee because the flexion axis ischanging along with the motion, both in direction andcenter of rotation.In our approach we propose a set of parameters which isindependent of the anatomical axies. We directly exploitthe marker trajectories to derive an information whichdepends only on the relative configuration of themarkers. The resulting set of trajectories is called thesignature of the motion. The intrinsic robustness of theparameter’s trajectories make them good candidates forthe qualitative comparison of different motions acquiredwith the same marker set. We illustrate this with theknee joint where it is especially interesting to comparetwo classes of movement: a classic walking motion anda so-called reference motion (a passive flexion-extensionof the knee while standing, one for each leg, accordingto [2]).In this paper we first describe the construction of thesignature from the marker’s trajectories. Then weexamine its interest for various knee motions (walkingand reference). Finally, we suggest an alternateapplication for the walking movement’s signature.2. Construction of the Motion Signature We propose a general set of parameters that help us inthe analysis of the human knee trajectories. The idea isthat such parameter set is very robust to perturbationcoming from soft tissues deformation dynamics and thatit highlights sensible differences between motionsacquired with the same marker set.2.1 Principle We have retained to construct a set of geometricparameters derived from the marker's positions. As thefirst constraint is to be independent of the trajectory ofthe patient we have chosen to express this informationin a local frame attached to the thigh. Basically, weaddress the problem of identifying one optimal ellipsoid(in position, orientation and dimension) from all themarkers attached to the thigh and the shank of one leg(generally six markers). The ellipsoid can be interpretedas gathering the information of the center of mass andthe volume distribution of the markers cloud in someoptimal sense. The volume distribution information isespecially sensitive to the current anatomical angles,thus allowing us to extract information highlycorrelated with the anatomical angle without makingstrong hypothesis on the underlying anatomic structure. The orientation of the ellipsoid frame (e1,e2,e3) isdefined by angles between the 3 ellipse axes and theabsolute Lab reference system (Lab frame in short). Theellipsoid dimensions are defined by the three parametersa1, a2, a3 which are of primary importance for the gaitanalysis (Figure 1). In order to derive the optimalellipsoid parameters from the six markers locationseveral minimization methods and several distances weretested [1]. We present here the minimization criteriaproviding the best results in terms of information tonoise ratio. The most significant parameters are thethree dimensions of the ellipse because they directlyrepresent the leg configuration during motion and assuch they are very sensitive to the anatomical angles.On the other hand, the remaining parameters aredeterminant to decrease the noise in the minimizationmethod." @default.
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• W754616676 date "1996-01-01" @default.
• W754616676 modified "2023-09-27" @default.
• W754616676 title "A Robust Motion Signature for the Analysis of Knee Trajectories" @default.
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