Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia
Huang, J.-R.; Fan, S.-Z.; Abbod, M.F.; Jen, K.-K.; Wu, J.-F.; Shieh, J.-S. Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia. Entropy 2013, 15, 3325-3339. https://doi.org/10.3390/e15093325
Huang J-R, Fan S-Z, Abbod MF, Jen K-K, Wu J-F, Shieh J-S. Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia. Entropy. 2013; 15(9):3325-3339. https://doi.org/10.3390/e15093325
Chicago/Turabian StyleHuang, Jeng-Rung; Fan, Shou-Zen; Abbod, Maysam F.; Jen, Kuo-Kuang; Wu, Jeng-Fu; Shieh, Jiann-Shing. 2013. "Application of Multivariate Empirical Mode Decomposition and Sample Entropy in EEG Signals via Artificial Neural Networks for Interpreting Depth of Anesthesia" Entropy 15, no. 9: 3325-3339. https://doi.org/10.3390/e15093325