metadata
license: apache-2.0
datasets:
- JLB-JLB/seizure_eeg_dev
metrics:
- accuracy: 0.86
tags:
- biology
- healthcare
- eeg
- seizure-detection
Seizure Detection EEG Model
Model Description
This model is designed to detect seizures from EEG (Electroencephalogram) data.
Performance
- Accuracy: 86%
Intended Use
This model is intended for research purposes in analyzing EEG data for seizure detection patterns.
Training Data
The model was trained on the JLB-JLB/seizure_eeg_dev dataset, which contains EEG recordings.
Limitations
- This is a development model and should not be used for clinical decisions
- Performance may vary across different EEG recording setups
- Should be used only as part of a comprehensive medical evaluation