ECG Plot - Clinical ECG Visualization Library

A Python library for plotting clinical-grade ECG (Electrocardiogram) signals with medical standard compliance.

🏥 Clinical Applications

• 12-Lead ECG Analysis: Standard clinical ECG interpretation
• Rhythm Strip Monitoring: Continuous cardiac rhythm analysis
• Research & Education: ECG signal visualization for biomedical research
• Telemedicine: Remote ECG interpretation and reporting

📋 Features

Current Features

• ✅ 12-lead ECG plotting with standard lead names
• ✅ Single-lead ECG visualization
• ✅ Clinical ECG grid (mimics standard ECG paper)
• ✅ Multiple export formats (PNG, SVG, JPG)
• ✅ Customizable styling and layout

Planned Features (Contributing Welcome!)

• 🔄 Clinical standards compliance (25mm/s, 10mm/mV)
• 🔄 Heart rate calculation and R-peak detection
• 🔄 ECG measurements (PR, QRS, QT intervals)
• 🔄 Signal quality assessment
• 🔄 Standard ECG file format support (WFDB, EDF, DICOM)

🚀 Installation

pip install numpy matplotlib
git clone https://github.com/mdbasit897/ecg_plot.git
cd ecg_plot