• 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.

preprocess

• Baseline Correction
• Removes baseline wandering created by respiration, body movement, etc.
• Denoising
• Removes noise created by power line, muscle contraction, etc.

Augmentation

MIMIC-IV-ECG

• 12 leads ECG, 10 seconds length
• Patients: approximately 160,000
• Records: 800,000

MIMIC-IV Waveform Database

• Contains ECG, ABP, PPG, Resp, etc.
• Patients: 198
• Records: 200 (10,000 records upcomming)

MIMIC-III Waveform Database

• Contains ECG, ABP, PPG, Resp, etc.
• Patients: approximately 30,000
• Records: 67,830

PTB Diagnostic ECG Database

• TBD

MIMIC-IV

• Patients

Results

mindmeister

JONGEUI CHAE : [email protected]

Please feel free to contact, open for any collaboration.