Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters.

@article{Farina2007OptimizationOW,
  title={Optimization of wavelets for classification of movement-related cortical potentials generated by variation of force-related parameters.},
  author={Dario Farina and Omar Feix do Nascimento and Marie-Françoise Lucas and Christian Doncarli},
  journal={Journal of neuroscience methods},
  year={2007},
  volume={162 1-2},
  pages={357-63}
}
The paper presents a novel pattern recognition approach for the classification of single-trial movement-related cortical potentials (MRCPs) generated by variations of force-related parameters during voluntary tasks. The feature space was built from the coefficients of a discrete dyadic wavelet transformation. Mother wavelet parameterization allowed the tuning of basis functions to project the signals. The mother wavelet was optimized to minimize the classification error estimated from the… CONTINUE READING
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