The ability of the Movement Deviation Profile (MDP) and Gait Deviation Index (GDI) to detect gait changes was compared in a child with cerebral palsy who underwent game training. Conventional gait analysis showed that sagittal plane angles became mirrored about normality after training. Despite considerable gait changes, the GDI showed minimal change, while the MDP detected a difference equal to a shift between 10-9 on the Functional Assessment Questionnaire scale. Responses of the GDI and MDP were examined during a synthetic transition of the patient's curves from before intervention to a state mirrored about normality. The GDI showed a symmetric response on the two opposite sides of normality but the neural network based MDP gave an asymmetric response reflecting faithfully the unequal biomechanical consequences of joint angle changes. In conclusion, the MDP can detect altered gait even if the changes are missed by the GDI.
|Original language||English (US)|
|Number of pages||7|
|Journal||Computer methods in biomechanics and biomedical engineering|
|State||Published - Jan 25 2015|
Bibliographical noteFunding Information:
This project was funded by The WellChild Trust and Alder Hey Children’s NHS Foundation Trust.
© 2013, © 2013 Taylor & Francis.
Copyright 2016 Elsevier B.V., All rights reserved.
- artificial neural network
- cerebral palsy
- self-organising map
- virtual rehabilitation