title: A kinematic method for computing the motion of the body centre-of-mass (CoM) during walking: a Bayesian approach.
abstract: The gait pattern of a particular patient can be altered in a large set of pathologies. Tracking the body centre-of-mass (CoM) during the gait allows a quantitative evaluation of these diseases at comparing the gait with normal patterns. A correct estimation of this variable is still an open question because of its non-linearity and inaccurate location. This paper presents a novel strategy for tracking the CoM, using a biomechanical gait model whose parameters are determined by a Bayesian strategy. A particle filter is herein implemented for predicting the model parameters from a set of markers located at the sacral zone. The present approach is compared with other conventional tracking methods and decreases the calculated root mean squared error in about a 56% in the x-axis and 59% in the y-axis.
authors.affiliation: Bioingenium Research Group - School of Medicine, National University of Colombia, Bogotá, DC, Colombia.
authors.forename: Fabio
authors.initials: F
authors.lastname: Martínez
authors.forename: Francisco
authors.initials: F
authors.lastname: Gómez
authors.forename: Eduardo
authors.initials: E
authors.lastname: Romero
mesh_terms: D001499:Bayes Theorem; D005684:Gait / Q000502:physiology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007596:Joints / Q000033:anatomy & histology / Q000502:physiology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D016059:Range of Motion, Articular / Q000502:physiology*; D012680:Sensitivity and Specificity; D016138:Walking / Q000502:physiology*; D051598:Whole Body Imaging / Q000379:methods*