title: Clinical use of prediction regions for motion analysis.
abstract: This study assesses the diagnostic capability of statistically defined prediction regions, developed by a 'bootstrap' method, for assessing the curves of angular rotation of joints in children as they walk. The prediction regions had been previously developed in the authors' laboratory from a study of 309 normal children. The goal of the present study was to determine whether these computer-generated prediction regions could be used as a screen in clinical gait analysis, to determine whether a movement falls outside the normal range of variability. Kinematic analysis of 38 consecutive children referred to the motion analysis laboratory for clinical gait assessment provided 912 curves of lower-extremity joint angle dynamics. An experienced observer first inspected the patients' curves with mean normal curves superimposed and designated the curves as normal or abnormal. The performance of the computer-generated prediction regions was judged by comparison with the experienced observer's designations. The prediction regions were found to have a high sensitivity (81%), indicating that they can be used as an initial screen to identify deficits in lower limb function.
authors.affiliation: Department of Orthopaedics, University of California, San Diego, USA.
authors.forename: D h
authors.initials: Dh
authors.lastname: Sutherland
authors.forename: K R
authors.initials: KR
authors.lastname: Kaufman
authors.forename: K
authors.initials: K
authors.lastname: Campbell
authors.forename: D
authors.initials: D
authors.lastname: Ambrosini
authors.forename: M
authors.initials: M
authors.lastname: Wyatt
mesh_terms: D002648:Child; D002675:Child, Preschool; D004576:Electromyography; D005260:Female; D006801:Humans; D007223:Infant; D007866:Leg; D008297:Male; D009048:Motor Skills; D009068:Movement; D016138:Walking