Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification.

MLA

Li, Fenglian, et al. “Multi-Feature Fusion Method Based on EEG Signal and Its Application in Stroke Classification.” Journal of Medical Systems, vol. 44, no. 2, Feb. 2020, pp. 1–11. EBSCOhost, https://doi.org/10.1007/s10916-019-1517-9.

APA

Li, F., Fan, Y., Zhang, X., Wang, C., Hu, F., Jia, W., & Hui, H. (2020). Multi-Feature Fusion Method Based on EEG Signal and its Application in Stroke Classification. Journal of Medical Systems, 44(2), 1–11. https://doi.org/10.1007/s10916-019-1517-9

Chicago

Li, Fenglian, Yuzhou Fan, Xueying Zhang, Can Wang, Fengyun Hu, Wenhui Jia, and Haisheng Hui. 2020. “Multi-Feature Fusion Method Based on EEG Signal and Its Application in Stroke Classification.” Journal of Medical Systems 44 (2): 1–11. doi:10.1007/s10916-019-1517-9.