Real-time feature extraction from EMG signals

@article{Kilic2016RealtimeFE,
  title={Real-time feature extraction from EMG signals},
  author={Ergin Kilic and Erdi Dogan},
  journal={2016 24th Signal Processing and Communication Application Conference (SIU)},
  year={2016},
  pages={113-116}
}
Electromyography (EMG) signals have been used for the control of prosthetics, orthotics and rehabilitation devices as a result of developments in hardware and software technology. A number of signal processing is required because of very low amplitude and noisy structure of the EMG signal. Feature extraction is the most important attribute of the EMG signal processing and there are many different methods proposed in the literature. In this study, a hardware and software platform is created to… CONTINUE READING

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