A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.
IEEE Trans. Biomed. Eng., 2020
A novel EEG-complexity-based feature and its application on the epileptic seizure detection.
Int. J. Mach. Learn. Cybern., 2019
A novel neural computational model of generalized periodic discharges in acute hepatic encephalopathy.
J. Comput. Neurosci., 2019
Effects of Cholinergic Neuromodulation on Thalamocortical Rhythms During NREM Sleep: A Model Study.
Frontiers Comput. Neurosci., 2019
Automatic Identification of Premature Ventricular Contraction Using ECGs.
Proceedings of the Health Information Science - 8th International Conference, 2019
A Mean Field Model of Acute Hepatic Encephalopathy.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018
Application of extreme learning machine to epileptic seizure detection based on lagged Poincaŕe plots.
Multidimens. Syst. Signal Process., 2017
Automated identification of epileptic seizures in EEG signals based on phase space representation and statistical features in the CEEMD domain.
Biomed. Signal Process. Control., 2017
Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions.
Proceedings of the Health Information Science - 6th International Conference, 2017
Automated detection of epileptic EEGs using a novel fusion feature and extreme learning machine.
Neurocomputing, 2016
Automatic seizure detection using a novel EEG feature based on nonlinear complexity.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016