A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform

@article{Bhattacharyya2017AMA,
  title={A Multivariate Approach for Patient-Specific EEG Seizure Detection Using Empirical Wavelet Transform},
  author={Abhijit Bhattacharyya and Ram Bilas Pachori},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2017},
  volume={64},
  pages={2003-2015}
}
Objective: This paper investigates the multivariate oscillatory nature of electroencephalogram (EEG) signals in adaptive frequency scales for epileptic seizure detection. Methods: The empirical wavelet transform (EWT) has been explored for the multivariate signals in order to determine the joint instantaneous amplitudes and frequencies in signal adaptive frequency scales. The proposed multivariate extension of EWT has been studied on multivariate multicomponent synthetic signal, as well as on… 
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