Abstract：
:Classification of gait disorders would facilitate standardisation of gait management and communication across professional boundaries. In the past, such classification was undertaken using a variety of approaches with often unclear methodology and validation procedures. This study describes the application of hierarchical cluster analysis on sagittal kinematic gait data derived from 56 children with cerebral palsy and 11 neurologically intact children in order to define existing clusters of gait patterns in the children's data. A structured rationale was developed to seek and validate the optimal number of homogenous gait types within the data resulting in 13 different gait clusters that were organised into 'crouch gait type', 'equinus gait type' and 'other gait type'. Applying cluster analysis in combination with visual assessment of gait data and a structured protocol, we have been able to define valid gait groupings.
journal_name
Gait Posturejournal_title
Gait & postureauthors
Toro B,Nester CJ,Farren PCdoi
10.1016/j.gaitpost.2006.02.004subject
Has Abstractpub_date
2007-02-01 00:00:00pages
157-65issue
2eissn
0966-6362issn
1879-2219pii
S0966-6362(06)00036-1journal_volume
25pub_type
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