Overcoming drawback of feature instantaneous bandwidth using EMD for epileptic seizure classification by RMS frequency

@article{Mahapatra2016OvercomingDO,
  title={Overcoming drawback of feature instantaneous bandwidth using EMD for epileptic seizure classification by RMS frequency},
  author={Arindam G. Mahapatra and Keiichi Horio},
  journal={2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)},
  year={2016},
  pages={001322-001327}
}
The work addresses classification of EEG signals into seizure and non-seizure by applying EMD and SVM with proposal of new feature Root Mean Square (RMS) frequency and feature using Hilbert marginal spectrum which overcomes the drawback of feature instantaneous bandwidth. We have success in achieving the consistency with the new features which shows… CONTINUE READING