1st Joint ESMAC-GCMAS Meeting - Análise de Marcha

O-30
GAITABASE: NEW APPROACH TO CLINICAL GAIT ANALYSIS
Tirosh Oren, PhD 1 , Baker Richard, PhD 1,2,3
1 Murdoch Childrens Research Institute, Royal Children’s Hospital, Victoria, Australia
2 Hugh Williamson Gait Analysis Laboratory, Royal Children’s Hospital, Victoria, Australia
3 University of Melbourne, Victoria, Australia
Summary/conclusions
A web interfaced repository for gait analysis data, the GAITABASE, has been established. It
allows users anywhere in the world to contribute data and to view all the data selected for
specific groups of subjects and specific conditions of data capture. It’s use has been illustrated
in the context of a mock cohort study of children with CP who have undergone single-event
multi-level surgery which includes data from 2 centres in USA, one in Europe and one in
Australia.
Introduction
Decision-making in clinical gait often relies on comparing gait patterns from populations with
and without gait pathology. Such comparison, however, requires dataset from large sample size
population differed by age and gender, which in most cases does not exist (1,2,3,4). The
objectives of a valid international gait analysis repository will be to allow orthopaedic
surgeons, physiotherapists, biomechanical engineers, and human movement specialists to share
data from large population, create and select large normative dataset, and to give a valuable
insight into how effective specific interventions have been for others. Lately, researches began
to build gait analysis repository in their own local laboratories (5, 6). Unfortunately, these
repository systems did not provide the capability of sharing gait patterns between national and
international clinics and research groups. Moreover, they were still limited by the small
patients sample size.
We present here the GAITABASE, a web interface database for gait analysis, that in the future
will provide ways of collecting and collating, and accessing data from all participating clinical
and research centres around the world. Four main concepts are implemented to ensure that the
system is flexible: 1) secure archiving of processed gait data, 2) flexible personalised filter
mechanism that allow users to create criteria for querying gait data, 3) visualising the results in
appropriate tables and graphs, 4) export query results for statistical analysis.
To illustrate the benefits of GAITABASE we will present a case study of Cerebral Palsy
patients where gait analysis was performed before and after an intervention.
Statement of clinical significance
GAITABASE is a valuable resource and tool for the international clinical and research
community. It provide ways of sharing data from all participating centres to establish
normative and pathology datasets of much larger numbers of patients than could be achieved
by any single centre. The accumulated stored data will facilitate clinicians in comparing their
own gait data with others, and will give a valuable insight into how effective specific
interventions have been for others.
Methods
GAITABASE is web-based interface utilising MySQL database, HTML, CSS, JavaScript,
PHP, and Fusebox 3.0, which is hosted by the Royal Children Hospital and accessed through
the Murdoch Children’s Research Institute web site. Stored data include: 1) patient’s data such
as code, pathology, gender, 2) temporal-spatial parameters such as walking speed, stride length
and cadence (as measured by GaitRite system), and 3) time-normalized 3D kinematic and
kinetic data (joint angles, moments, powers) which are uploaded from c3d files. Ethical
approval has been obtained to receive, store and publish de-identified gait data. Contributors of
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