4 papers
A Multimodal Pre-trained Network for Integrated EEG-Video Seizure Detection
Tong Lu, Ke Xu, Zimo Zhang +12
Reliable seizure detection in mouse models is essential for preclinical epilepsy research, yet manual review of synchronized video-EEG recordings is labor-intensive and single-moda…
FAIR-ESI: Feature Adaptive Importance Refinement for Electrophysiological Source Imaging
Linyong Zou, Liang Zhang, Xiongfei Wang +9
An essential technique for diagnosing brain disorders is electrophysiological source imaging (ESI). While model-based optimization and deep learning methods have achieved promising…
Automated Detection of Epileptic Spikes and Seizures Incorporating a Novel Spatial Clustering Prior
Hanyang Dong, Shurong Sheng, Xiongfei Wang +7
A Magnetoencephalography (MEG) time-series recording consists of multi-channel signals collected by superconducting sensors, with each signal's intensity reflecting magnetic field…
LV-CadeNet: A Long-View Feature Convolution-Attention Fusion Encoder-Decoder Network for EEG/MEG Spike Analysis
Kuntao Xiao, Xiongfei Wang, Pengfei Teng +8
The analysis of interictal epileptiform discharges (IEDs) in magnetoencephalography (MEG) or electroencephalogram (EEG) recordings represents a critical component in the diagnosis…