Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.

@article{Shull2011TrainingMG,
  title={Training multi-parameter gaits to reduce the knee adduction moment with data-driven models and haptic feedback.},
  author={Peter B. Shull and Kristen L. Lurie and Mark R. Cutkosky and Thor F. Besier},
  journal={Journal of biomechanics},
  year={2011},
  volume={44 8},
  pages={1605-9}
}
The purpose of this study was to evaluate gait retraining for reducing the knee adduction moment. Our primary objective was to determine whether subject-specific altered gaits aimed at reducing the knee adduction moment by 30% or more could be identified and adopted in a single session through haptic (touch) feedback training on multiple kinematic gait parameters. Nine healthy subjects performed gait retraining, in which data-driven models specific to each subject were determined through… CONTINUE READING

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