This project implements a Modified Early Warning Score (MEWS) system using ballistocardiography (BCG) data to assess patient vitals and provide early warnings for timely medical intervention.
- ✅ Reads mock BCG data from a CSV file.
- ✅ Calculates MEWS based on key physiological parameters:
- Respiration Rate
- SpO₂ (Oxygen Saturation)
- Heart Rate (Pulse)
- Systolic Blood Pressure
- Temperature
- Level of Consciousness
- ✅ Outputs MEWS scores and generates clinical response recommendations.
- ✅ Escalation alerts based on severity thresholds.
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Download the mock patient data CSV
Use the provided sample file or connect to a real-time data source in future enhancements. -
Run the Python script
Open the notebook or script in Google Colab or a Jupyter environment and execute the cells to:- Load and analyze patient vitals
- Calculate MEWS scores
- Generate clinical response alerts
- Python 3.0
- pandas