A strategy for labeling data for the neural adaptation of a powered lower limb prosthesis

@article{Spanias2014ASF,
  title={A strategy for labeling data for the neural adaptation of a powered lower limb prosthesis},
  author={John A. Spanias and Eric J. Perreault and Levi J. Hargrove},
  journal={2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2014},
  pages={3090-3093}
}
Pattern recognition algorithms that use EMG signals have been proposed to help control powered lower limb prostheses. These algorithms do not automatically compensate for disturbances in EMG signals, resulting in deterioration of algorithm accuracies. Supervised adaptive pattern recognition algorithms can solve this problem, but require correct labeling of new data. Information from embedded mechanical sensors can be compared to the characteristic gait profiles of the different modes to… CONTINUE READING