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Add ECG rate classification tutorial #1999

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ce4042a
add ecg rate classification tutorial
victoriajrosenthal Apr 2, 2026
b2b89d4
Fix syntax errors and clean up ECG notebook
victoriajrosenthal Jul 15, 2026
cc8196d
Add README for ECG Signal Processing project
victoriajrosenthal Jul 15, 2026
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580 changes: 580 additions & 0 deletions mimic-iv-ecg/notebooks/ECG_rate_classification.ipynb
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12 changes: 12 additions & 0 deletions mimic-iv-ecg/notebooks/README.md
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# ECG Signal Processing with MIMIC-IV

This project demonstrates how to process and analyze electrocardiogram (ECG) recordings from the MIMIC-IV ECG database using Python.
The notebook loads a 12-lead ECG record with the WFDB library, preprocesses the signal using NeuroKit2, detects R-peaks, and extracts cleaned ECG waveforms for further analysis. The processed signals can be used as the foundation for heart rate and heart rate variability (HRV) analysis.

## Features

- Load ECG recordings directly from the MIMIC-IV ECG database
- Process raw ECG signals using NeuroKit2
- Detect R-peaks and cardiac waveform features
- Prepare data for HR, HRV, and rhythm classification
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