To Design and Develop the Biometric Health Score Calculator using Photoplethysmography (PPG)

Photoplethysmography (PPG) is a low-cost, non-invasive optical sensing technique widely adopted in modern wearable devices to monitor cardiovascular and physiological parameters. This study presents a Biometric Health Score Calculator that leverages PPG signals to quantify an individual?s overall health status using multiple derived biomarkers. The system extracts key PPG-based features including heart rate (HR), heart rate variability (HRV), blood oxygen saturation (SpO?), respiratory rate (RR), vascular stiffness, pulse amplitude variability (PAV), and stress index. These physiological parameters are normalized, weighted, and aggregated to generate a composite health score (0-100) reflecting cardiovascular efficiency, autonomic nervous system balance, and respiratory health. Advanced signal-processing techniques, including filtering, peak detection, and time-domain HRV analysis, are applied to convert raw PPG signals into accurate and reliable physiological indicators. The proposed calculator is designed for integration with wearable devices, telehealth platforms, and remote patient monitoring systems, enabling continuous, real-time health assessment. By providing an interpretable and quantifiable health score, this solution supports early detection of potential health risks, encourages preventive healthcare, and bridges the gap between consumer-grade health monitoring and clinical applications.