- This project is to detect heart disease using biomedical signals such as ECG, PPG and ABP through Pytorch.
- For Data,
- Data Inspection
- Preprocessing
- Feature Extraction
- Augmentation is provided
- Training and Evaluation is provided
- This project will tie together all the functionality in MIMIC and CNIBP, so that it can be used as a single package for heart disease detection.
- Baseline Correction
- Removes baseline wandering created by respiration, body movement, etc.
- Denoising
- Removes noise created by power line, muscle contraction, etc.
- 12 leads ECG, 10 seconds length
- Patients: approximately 160,000
- Records: 800,000
- Contains ECG, ABP, PPG, Resp, etc.
- Patients: 198
- Records: 200 (10,000 records upcomming)
- Contains ECG, ABP, PPG, Resp, etc.
- Patients: approximately 30,000
- Records: 67,830
- TBD
- Patients
JONGEUI CHAE : forownsake@gmail.com
Please feel free to contact, open for any collaboration.