Article

Locating the position of the hip joint centre (HJC) is an important part of lower
limb modeling for gait analysis. Regression equations have been used in the past
but a range of functional calibration methods are now available. This study
compared the accuracy of HJC localization from two sets of regression equations
and five different functional calibration methods against three dimensional
ultrasound (3-DUS) on a population of 19 able bodied subjects. Results show that
the geometric sphere fitting technique was the best performer with mean absolute
distance error of 15mm and 85% of measurements being within 20mm. The results
also show that widely used regression equations perform particularly badly
whereas the most recent equations performed very closely to the best functional
method with a mean absolute error of 16mm and 88% of measurements being within
20mm. In vivo results are more than an order of magnitude worse than predictions
using synthetic data suggesting that additional work is required before soft
tissue artifact can be effectively modelled.
CI - Copyright (c) 2011 Elsevier B.V. All rights reserved.

Langue : ANGLAIS