A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization.

MLA

Zhou, Wei, et al. “A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization.” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 30, July 2022, pp. 1920–30. EBSCOhost, https://doi.org/10.1109/TNSRE.2022.3186942.

APA

Zhou, W., Zhao, X., Wang, X., Zhou, Y., Wang, Y., Meng, L., Fan, J., Shen, N., Zhou, S., Chen, W., & Chen, C. (2022). A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization. IEEE Transactions on Neural Systems & Rehabilitation Engineering, 30, 1920–1930. https://doi.org/10.1109/TNSRE.2022.3186942

Chicago

Zhou, Wei, Xian Zhao, Xinhua Wang, Yuanfeng Zhou, Yalin Wang, Long Meng, Jiahao Fan, et al. 2022. “A Hybrid Expert System for Individualized Quantification of Electrical Status Epilepticus During Sleep Using Biogeography-Based Optimization.” IEEE Transactions on Neural Systems & Rehabilitation Engineering 30 (July): 1920–30. doi:10.1109/TNSRE.2022.3186942.