title: A new coordination pattern classification to assess gait kinematics when utilising a modified vector coding technique.
abstract: A modified vector coding (VC) technique was used to quantify lumbar-pelvic coordination during gait. The outcome measure from the modified VC technique is known as the coupling angle (CA) which can be classified into one of four coordination patterns. This study introduces a new classification for this coordination pattern that expands on a current data analysis technique by introducing the terms in-phase with proximal dominancy, in-phase with distal dominancy, anti-phase with proximal dominancy and anti-phase with distal dominancy. This proposed coordination pattern classification can offer an interpretation of the CA that provides either in-phase or anti-phase coordination information, along with an understanding of the direction of segmental rotations and the segment that is the dominant mover at each point in time. Classifying the CA against the new defined coordination patterns and presenting this information in a traditional time-series format in this study has offered an insight into segmental range of motion. A new illustration is also presented which details the distribution of the CA within each of the coordination patterns and allows for the quantification of segmental dominancy. The proposed illustration technique can have important implications in demonstrating gait coordination data in an easily comprehensible fashion by clinicians and scientists alike.
authors: CSHER, Faculty of Health Sciences, Staffordshire University, Leek Road, Stoke on Trent ST4 2DF, UK. Electronic address: r.needham@staffs.ac.uk.
authors: Robert A
authors: RA
authors: Needham
authors: CSHER, Faculty of Health Sciences, Staffordshire University, Leek Road, Stoke on Trent ST4 2DF, UK.
authors: Roozbeh
authors: R
authors: Naemi
authors: CSHER, Faculty of Health Sciences, Staffordshire University, Leek Road, Stoke on Trent ST4 2DF, UK.
authors: Nachiappan
authors: N
authors: Chockalingam
mesh_terms: D001696:Biomechanical Phenomena; D005684:Gait / Q000502:physiology*; D006801:Humans; D008161:Lumbosacral Region; D008297:Male; D055595:Mechanical Phenomena; D010363:Pattern Recognition, Automated / Q000379:methods*; D010388:Pelvis / Q000502:physiology; D016059:Range of Motion, Articular; D013223:Statistics as Topic / Q000379:methods*; D055815:Young Adult
keywords: Dynamical systems approach; Gait; Inter-segmental coordination pattern; Lumbar–pelvic movement; Vector coding