Publications by authors named "Kuiting Yan"
Article Synopsis
- The study focuses on improving seizure prediction for individuals with epilepsy through a novel hybrid deep learning model that combines DenseNet and Vision Transformer (ViT).
- DenseNet effectively captures features and reduces parameters, while ViT provides self-attention and represents global features, with an attention fusion layer merging both for better predictions.
- Using the CHB-MIT dataset for evaluation, the model shows high accuracy and efficiency in prediction, suggesting that this approach could lead to better therapeutic interventions for epilepsy patients.
