Journal
GAIT & POSTURE
Volume 25, Issue 2, Pages 157-165Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.gaitpost.2006.02.004
Keywords
cluster analysis; cerebral palsy; sagittal gait patterns; observational gait assessment; physical therapy
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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 I I 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. (c) 2006 Elsevier B.V. All rights reserved.
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