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 R. B. 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… Expand
153 Citations
Automated identification of epileptic seizure EEG signals using empirical wavelet transform based Hilbert marginal spectrum
  • 13
Patient-specific seizure detection in long-term EEG using wavelet decomposition
  • 13
Seizure Onset Detection Using Empirical Mode Decomposition and Common Spatial Pattern
  • Highly Influenced
  • PDF
Selection of features for patient-independent detection of seizure events using scalp EEG signals
  • 3
Early Epileptic Seizure Detection
  • S. Anand, M. K. Mukul
  • Computer Science
  • 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT)
  • 2019
Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG
  • 23
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 57 REFERENCES
A novel approach for automated detection of focal EEG signals using empirical wavelet transform
  • 110
Automated seizure detection in scalp EEG using multiple wavelet scales
  • 76
Classification of epileptic seizures in EEG signals based on phase space representation of intrinsic mode functions
  • 266
Tracking and detection of epileptiform activity in multichannel ictal EEG using signal subspace correlation of seizure source scalp topographies
  • C. Hesse, C. James
  • Psychology, Medicine
  • Medical & Biological Engineering & Computing
  • 2006
  • 16
Application of Machine Learning To Epileptic Seizure Detection
  • 353
  • PDF
Feature extraction and classification of EEG for automatic seizure detection
  • 56
Incorporating structural information from the multichannel EEG improves patient-specific seizure detection
  • 50
  • PDF
Long-term epileptic EEG classification via 2D mapping and textural features
  • 33
Feature extraction with stacked autoencoders for epileptic seizure detection
  • A. Supratak, Ling Li, Y. Guo
  • Computer Science, Medicine
  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
  • 2014
  • 44
Automated seizure detection using a self-organizing neural network.
  • 149
...
1
2
3
4
5
...