Visualisation of gait data with Kohonen self-organising neural maps.

@article{Barton2006VisualisationOG,
  title={Visualisation of gait data with Kohonen self-organising neural maps.},
  author={Gabor J. Barton and Adrian Lees and Paulo Lisb{\^o}a and Steve Attfield},
  journal={Gait & posture},
  year={2006},
  volume={24 1},
  pages={46-53}
}
Self-organising artificial neural networks were used to reduce the complexity of joint kinematic and kinetic data, which form part of a typical instrumented gait assessment. Three-dimensional joint angles, moments and powers during the gait cycle were projected from the multi-dimensional data space onto a topological neural map, which thereby identified gait stem-patterns. Patients were positioned on the map in relation to each other and this enabled them to be compared from their gait patterns… CONTINUE READING