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
AMA Style
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 Style
Huang, Jeng-Rung, Shou-Zen Fan, Maysam F. Abbod, Kuo-Kuang Jen, Jeng-Fu Wu, and Jiann-Shing Shieh.
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
APA Style
Huang, J. -R., Fan, S. -Z., Abbod, M. F., Jen, K. -K., Wu, J. -F., & Shieh, J. -S.
(2013). 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.
https://doi.org/10.3390/e15093325
