Evaluation of the forearm EMG signal features for the control of a prosthetic hand

@article{Boostani2003EvaluationOT,
  title={Evaluation of the forearm EMG signal features for the control of a prosthetic hand},
  author={Reza Boostani and Mohammad Hassan Moradi},
  journal={Physiological Measurement},
  year={2003},
  volume={24},
  pages={309 - 319}
}
The purpose of this research is to select the best features to have a high rate of motion classification for controlling an artificial hand. Here, 19 EMG signal features have been taken into account. Some of the features suggested in this study include combining wavelet transform with other signal processing techniques. An assessment is performed with respect to three points of view: (i) classification of motions, (ii) noise tolerance and (iii) calculation complexity. The energy of wavelet… 
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9 Citations
Background Citations
2
Methods Citations
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9 Citations

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