tothemoon10080/CHB-MIT-data-preprocessing-and-prediction
This project focuses on data preprocessing and epilepsy seizure prediction using the CHB-MIT EEG dataset. It includes steps like data cleansing, feature extraction, and handling imbalanced datasets, aimed at improving the accuracy of seizure prediction.
This project helps medical researchers and clinicians analyze EEG brainwave data to predict epileptic seizures. It takes raw CHB-MIT EEG recordings and processes them through cleansing and feature extraction to generate a predictive model. The ultimate goal is to improve the accuracy of anticipating seizure events, aiding in patient care and understanding of epilepsy.
No commits in the last 6 months.
Use this if you are a medical researcher or clinician working with EEG data and need a standardized approach to preprocess and build predictive models for epilepsy seizure forecasting.
Not ideal if you are looking for a ready-to-use clinical diagnostic tool, as this is a research and development project for model building.
Stars
54
Forks
8
Language
Python
License
MIT
Category
Last pushed
Nov 22, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/tothemoon10080/CHB-MIT-data-preprocessing-and-prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
mne-tools/mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
braindecode/braindecode
Deep learning software to decode EEG, ECG or MEG signals
NeuroTechX/moabb
Mother of All BCI Benchmarks
neuromodulation/py_neuromodulation
Real-time analysis of intracranial neurophysiology recordings.
IoBT-VISTEC/MIN2Net
End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification (IEEE...