Processing of Myoelectric Signals by Feature Selection and Dimensionality Reduction for the Control of Powered Upper-Limb Prostheses

@inproceedings{Buchenrieder2007ProcessingOM,
  title={Processing of Myoelectric Signals by Feature Selection and Dimensionality Reduction for the Control of Powered Upper-Limb Prostheses},
  author={Klaus Buchenrieder},
  booktitle={EUROCAST},
  year={2007}
}
The extraction of features from myoelectric signals (MES) for the classification of prehensile motions is difficult to achieve. The optimal selection of features, extracted from a MES and the reduction of dimensions is even more challenging. In the context of prosthetic control, dimensionality reduction means to retain MES information, that is important for class discrimination and to discard irrelevant data. Dimensionality reduction strategies are categorized into feature selection and feature… CONTINUE READING

Similar Papers

Topics from this paper.