JZK00/EEG-DIF
EEG-DIF: Early Warning of Epileptic Seizures through Generative Diffusion Model-based Multi-channel EEG Signals Forecasting
This project helps medical researchers and neurologists predict future epileptic seizure activity by analyzing multi-channel EEG signals. It takes raw EEG data as input and outputs forecasted EEG patterns for any given timeframe. Researchers can use these predictions for early diagnosis and warning of related diseases.
No commits in the last 6 months.
Use this if you are a medical researcher or clinician working with EEG data and need to predict future epileptic seizure events.
Not ideal if you are looking for a fully-fledged clinical diagnostic tool ready for patient use without further development.
Stars
35
Forks
6
Language
Python
License
MIT
Category
Last pushed
Aug 15, 2025
Commits (30d)
0
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