Jiangling Song

Orcid: 0000-0003-3982-5985

According to our database1, Jiangling Song authored at least 16 papers between 2016 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Ripple-Spikes Localize the Epileptogenic Zone and Its Interpretation: Integrating Data-Driven and Model-Driven Methods.
IEEE Trans. Biomed. Eng., February, 2026

2025
Understanding the Spatio-Temporal Coupling of Spikes and Spindles in Focal Epilepsy Through a Network-Level Computational Model.
Int. J. Neural Syst., 2025

A graph-based method for automatic graded diagnosis of depression using EEG signals.
Biomed. Signal Process. Control., 2025

2023
A novel computer-assisted diagnosis method of knee osteoarthritis based on multivariate information and deep learning model.
Digit. Signal Process., March, 2023

2021
A novel automatic Knee Osteoarthritis detection method based on vibroarthrographic signals.
Biomed. Signal Process. Control., 2021

2020
A New Neural Mass Model Driven Method and Its Application in Early Epileptic Seizure Detection.
IEEE Trans. Biomed. Eng., 2020

2019
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

2018
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

2017
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

2016
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


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