Sample entropy analysis of EEG signals via artificial neural networks to model patients' consciousness level based on anesthesiologists experience.

MLA

Jiang, George J. A., et al. “Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience.” BioMed Research International, vol. 2015, 2015, p. 343478. EBSCOhost, https://doi.org/10.1155/2015/343478.

APA

Jiang, G. J. A., Fan, S.-Z., Abbod, M. F., Huang, H.-H., Lan, J.-Y., Tsai, F.-F., Chang, H.-C., Yang, Y.-W., Chuang, F.-L., Chiu, Y.-F., Jen, K.-K., Wu, J.-F., & Shieh, J.-S. (2015). Sample entropy analysis of EEG signals via artificial neural networks to model patients’ consciousness level based on anesthesiologists experience. BioMed Research International, 2015, 343478. https://doi.org/10.1155/2015/343478

Chicago

Jiang, George J A, Shou-Zen Fan, Maysam F Abbod, Hui-Hsun Huang, Jheng-Yan Lan, Feng-Fang Tsai, Hung-Chi Chang, et al. 2015. “Sample Entropy Analysis of EEG Signals via Artificial Neural Networks to Model Patients’ Consciousness Level Based on Anesthesiologists Experience.” BioMed Research International 2015: 343478. doi:10.1155/2015/343478.