Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures.

MLA

Furui, Akira, et al. “Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures.” IEEE Transactions on Biomedical Engineering, vol. 68, no. 2, Feb. 2021, pp. 515–25. EBSCOhost, https://doi.org/10.1109/TBME.2020.3006246.

APA

Furui, A., Onishi, R., Takeuchi, A., Akiyama, T., & Tsuji, T. (2021). Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures. IEEE Transactions on Biomedical Engineering, 68(2), 515–525. https://doi.org/10.1109/TBME.2020.3006246

Chicago

Furui, Akira, Ryota Onishi, Akihito Takeuchi, Tomoyuki Akiyama, and Toshio Tsuji. 2021. “Non-Gaussianity Detection of EEG Signals Based on a Multivariate Scale Mixture Model for Diagnosis of Epileptic Seizures.” IEEE Transactions on Biomedical Engineering 68 (2): 515–25. doi:10.1109/TBME.2020.3006246.