84 citations · 171 across the 5 of their papers we have counts for
5 papers
VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG
Yankun Xu, Junzhe Wang, Yun-Hsuan Chen +4
An accurate and efficient epileptic seizure onset detection can significantly benefit patients. Traditional diagnostic methods, primarily relying on electroencephalograms (EEGs), o…
Shorter Latency of Real-time Epileptic Seizure Detection via Probabilistic Prediction
Yankun Xu, Jie Yang, Wenjie Ming +2
Although recent studies have proposed seizure detection algorithms with good sensitivity performance, there is a remained challenge that they were hard to achieve significantly sho…
Binary Single-dimensional Convolutional Neural Network for Seizure Prediction
Shiqi Zhao, Jie Yang, Yankun Xu +1
Nowadays, several deep learning methods are proposed to tackle the challenge of epileptic seizure prediction. However, these methods still cannot be implemented as part of implanta…
Multichannel Synthetic Preictal EEG Signals to Enhance the Prediction of Epileptic Seizures
Yankun Xu, Jie Yang, Mohamad Sawan
Epilepsy is a chronic neurological disorder affecting 1\% of people worldwide, deep learning (DL) algorithms-based electroencephalograph (EEG) analysis provides the possibility for…
An End-to-End Deep Learning Approach for Epileptic Seizure Prediction
Yankun Xu, Jie Yang, Shiqi Zhao +2
An accurate seizure prediction system enables early warnings before seizure onset of epileptic patients. It is extremely important for drug-refractory patients. Conventional seizur…