health_metrics.py

import math

class HealthMetrics:
    @staticmethod
    def calculate_all(bpm, spo2):
        """
        Calculates estimated health parameters based on BPM and SpO2.
        Note: These are mathematical estimations for research purposes.
        """
        metrics = {}

        # 1. Estimated Glucose Level (mg/dL)
        # Research shows a statistical correlation between HR and glucose.
        # Simplified linear model for estimation:
        metrics['glucose'] = round((bpm * 0.5) + 65.0, 2)

        # 2. Perfusion Index (PI) - Estimated
        # Usually derived from AC/DC ratio; estimated here based on pulse stability
        # Normal range is 0.02% to 20%
        metrics['pi'] = round(max(0.1, (spo2 / bpm) * 1.5), 2)

        # 3. Heart Rate Variability (HRV) - Estimated
        # HRV usually has an inverse relationship with resting heart rate.
        # Formula: Estimated RMSSD (ms)
        metrics['hrv'] = round(60000 / (bpm * 1.2), 2)

        # 4. Respiratory Rate (RR) - Estimated
        # Normal adults: 12-20 breaths per minute. 
        # Often approx 1/4 of heart rate at rest.
        metrics['respiratory_rate'] = round(bpm / 4.5, 1)

        # 5. Hypoxia Status
        if spo2 >= 95:
            metrics['status'] = "Normal"
        elif 90 <= spo2 < 95:
            metrics['status'] = "Mild Hypoxia"
        else:
            metrics['status'] = "Consult Doctor"

        return metrics