Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Comparing different data collection and analysis techniques for quantifying healthy knee joint function during stair ascent and descent

Whatling, Gemma Marie, Evans, Samuel Lewin and Holt, Catherine Avril 2009. Comparing different data collection and analysis techniques for quantifying healthy knee joint function during stair ascent and descent. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 223 (8) , pp. 981-990. 10.1243/09544119JEIM648

[img]
Preview
PDF
Download (289kB) | Preview

Abstract

There is currently no standard data collection or analysis method for the assessment of stair gait using motion analysis. This makes the comparison of results from different studies difficult. It is important to gain an appreciation of the discrepancies in kinematic and kinetic information generated by employing different computational approaches, as these differences may be critical in cases where methodologies were to change over a long-term study. This study explores the effect of using different methodologies for the assessment of non-pathological knee function of ten subjects during stair ascent and descent. Two methods of computing knee kinematics were compared: (a) using in-house software and a pointer method of anatomical calibration and (b) using commercial software, Visual3D (C-motion, Inc.) and skin-mounted markers. Significant differences were found between the two methods when calculating a frontal plane range of motion (p<0.05). Three methods of computing knee moments were compared. Knee moments computed using the inverse dynamic analysis (IDA) approach of Visual3D (C-motion, Inc.) were significantly different (p<0.05) to those calculated using in-house IDA software that ignores the foot and ankle and to those computed using a vector cross-product approach. This study highlights the implications of comparing data generated from different collection and analysis methods.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Uncontrolled Keywords: stair gait; knee kinematics; knee joint moments; motion analysis; biomechanics
Publisher: SAGE Publications
ISSN: 0954-4119
Last Modified: 03 May 2019 04:25
URI: http://orca.cf.ac.uk/id/eprint/8126

Citation Data

Cited 4 times in Google Scholar. View in Google Scholar

Cited 6 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item