Temporal vs. spectral approach to feature extraction from prehensile EMG signals

@article{Du2004TemporalVS,
  title={Temporal vs. spectral approach to feature extraction from prehensile EMG signals},
  author={Sijiang Du and Marko Vuskovic},
  journal={Proceedings of the 2004 IEEE International Conference on Information Reuse and Integration, 2004. IRI 2004.},
  year={2004},
  pages={344-350}
}
There are generally two nonparametric approaches in feature extraction from temporal signals: temporal and spectral approach. Both approaches were used in classification of prehensile electromyographic (EMG) signals. The goal of this paper is to define and evaluate some successful methods in both approaches and to determine experimentally which method and approach is the most appropriate. The evaluation is based on classification of real EMGs with an ART-based classifier. The efficiency… CONTINUE READING
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