Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia

Jeng-Rung Huang, Shou-Zen Fan, Maysam F. Abbod, Kuo-Kuang Jen, Jeng-Fu Wu, Jiann Shing Shieh. Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia. Entropy, 15(9):3325-3339, 2013. [doi]

@article{HuangFAJWS13,
  title = {Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia},
  author = {Jeng-Rung Huang and Shou-Zen Fan and Maysam F. Abbod and Kuo-Kuang Jen and Jeng-Fu Wu and Jiann Shing Shieh},
  year = {2013},
  doi = {10.3390/e15093325},
  url = {http://dx.doi.org/10.3390/e15093325},
  researchr = {https://researchr.org/publication/HuangFAJWS13},
  cites = {0},
  citedby = {0},
  journal = {Entropy},
  volume = {15},
  number = {9},
  pages = {3325-3339},
}