This repository contains the implementation and resources for the research paper:
"Development of clinician-level multimodal automated seizure detection and type classification using synchronized video-electroencephalogram data"
The model definition is located in model.py.
It implements a multimodal architecture that integrates EEG signals and video data to predict seizure occurrence and classify seizure types.
Documentation for training and evaluation procedures will be available soon.
modified the CONFIG in demo.py and
python demo.py