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Tirosh O.,Murdoch Childrens Research Institute | Baker R.,Murdoch Childrens Research Institute | Baker R.,Hugh Williamson Gait Analysis Laboratory | Baker R.,University of Melbourne | McGinley J.,Murdoch Childrens Research Institute
Computers in Biology and Medicine | Year: 2010

The need to share gait analysis data to improve clinical decision support has been recognised since the early 1990s. GaitaBase has been established to provide a web-accessible repository system of gait analysis data to improve the sharing of data across local and international clinical and research community. It is used by several clinical and research groups across the world providing cross-group access permissions to retrieve and analyse the data. The system is useful for bench-marking and quality assurance, clinical consultation, and collaborative research. It has the capacity to increase the population sample size and improve the quality of 'normative' gait data. In addition the accumulated stored data may facilitate clinicians in comparing their own gait data with others, and give a valuable insight into how effective specific interventions have been for others. © 2009 Elsevier Ltd. Source


Sangeux M.,Hugh Williamson Gait Analysis Laboratory | Sangeux M.,Murdoch Childrens Research Institute | Sangeux M.,University of Melbourne | Pillet H.,Arts et Metiers ParisTech | Skalli W.,Arts et Metiers ParisTech
Gait and Posture | Year: 2014

Accurate localisation of the hip joint centre is required to obtain accurate kinematics, kinetics and musculoskeletal modelling results. Literature data showed that conclusions drawn from synthetic data, adult normal subjects and cerebral palsy children may vary markedly. This study investigated the localisation accuracy of the hip joint centre against EOS. The EOS system allowed us to register the hip joint centres with respect to the skin markers on standing subjects. A comprehensive set of predictive and functional calibration techniques were tested. For the functional calibration techniques, our results showed that algorithm, range of motion and self-performance of the movement were factors significantly affecting the results. Best results were obtained for comfortable range and self-performance of the movement. The best method in this scenario was the functional geometrical sphere fitting method which localised the hips 1.1. cm from the EOS reference in average and 100% of the time within 3. cm. Worst results for functional calibration methods occurred when the movement was assisted with a reduced range of movement. The best method in this scenario was the Harrington et al. regression equations since it does not rely on a functional calibration movement. Harrington et al. equations put the hips 1.7. cm from the EOS reference in average and 97% of the time within 3. cm. We conclude that accurate localisation of the hip joint centre is possible in gait analysis providing that method to localise the hip joint centres are adapted to the population studied: functional geometrical sphere fitting when hip calibration movements are not a problem and Harrington et al. predictive equations otherwise. © 2014 Elsevier B.V. Source


Hastings-Ison T.,Murdoch Childrens Research Institute | Graham H.K.,Hugh Williamson Gait Analysis Laboratory
Developmental Medicine and Child Neurology | Year: 2013

This commentary is on the original article by Williams et al. on pages 813-820 of this issue. © 2013 Mac Keith Press. Source


Heidt C.,University of Zurich | Hollander K.,University of Hamburg | Willoughby K.,Murdoch Childrens Research Institute | Thomason P.,Hugh Williamson Gait Analysis Laboratory | Graham H.K.,Hugh Williamson Gait Analysis Laboratory
Bone and Joint Journal | Year: 2015

Pelvic obliquity is a common finding in adolescents with cerebral palsy, however, there is little agreement on its measurement or relationship with hip development at different gross motor function classification system (GMFCS) levels. The purpose of this investigation was to study these issues in a large, population-based cohort of adolescents with cerebral palsy at transition into adult services. The cohort were a subset of a three year birth cohort (n = 98, 65M: 33F, with a mean age of 18.8 years (14.8 to 23.63) at their last radiological review) with the common features of a migration percentage greater than 30% and a history of adductor release surgery. Different radiological methods of measuring pelvic obliquity were investigated in 40 patients and the angle between the acetabular tear drops (ITDL) and the horizontal reference frame of the radiograph was found to be reliable, with good face validity. This was selected for further study in all 98 patients. The median pelvic obliquity was 4° (interquartile range 2° to 8°). There was a strong correlation between hip morphology and the presence of pelvic obliquity (effect of ITDL on Sharpe's angle in the higher hip; rho 7.20 (5% confidence interval 5.59 to 8.81, p < 0.001). This was particularly true in non-Ambulant adolescents (GMFCS IV and V) with severe pelvic obliquity, but was also easily detectable and clinically relevant in ambulant adolescents with mild pelvic obliquity. The identification of pelvic obliquity and its management deserves closer scrutiny in children and adolescents with cerebral palsy. © 2015 The British Editorial Society of Bone & Joint Surgery. Source


Sangeux M.,Hugh Williamson Gait Analysis Laboratory | Sangeux M.,Murdoch Childrens Research Institute | Sangeux M.,University of Melbourne | Peters A.,Hugh Williamson Gait Analysis Laboratory | And 3 more authors.
Gait and Posture | Year: 2011

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 15. mm and 85% of measurements being within 20. mm. 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 16. mm and 88% of measurements being within 20. mm. 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. © 2011 Elsevier B.V. Source

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