Nonlinear dimension reduction for EEG-based epileptic seizure detection

@article{Birjandtalab2016NonlinearDR,
  title={Nonlinear dimension reduction for EEG-based epileptic seizure detection},
  author={Javad Birjandtalab and Maziyar Baran Pouyan and Mehrdad Nourani},
  journal={2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)},
  year={2016},
  pages={595-598}
}
Approximately 0.1 percent of epileptic patients die from unexpected deaths. In general, for intractable seizures, it is crucial to have an algorithm to accurately and automatically detect the seizures and notify care-givers to assist patients. EEG signals are known as definitive diagnosis of seizure events. In this work, we utilize the frequency domain features (normalized in-band power spectral density) for the EEG channels. We applied a nonlinear data-embedding technique based on stochastic… 

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