RGB Camera-Based Blood Pressure Measurement Using U-Net Basic Generative Model

Blood pressure is a fundamental health metric widely employed to predict cardiac diseases and monitor overall well-being. However, conventional blood measurement methods, such as the cuff method, necessitate additional equipment can be inconvenient for regular use. This study aimed develop novel approach using only an RGB camera, which promises enhanced convenience accuracy. We U-Net Basic generative model achieve our objectives. Through rigorous experimentation data analysis, demonstrated promising results, attaining BHS (British Hypertension Society) baseline performance with grade A accuracy diastolic (DBP) C systolic (SBP). The mean absolute error (MAE) achieved DBP was 4.43 mmHg, SBP, it 6.9 mmHg. Our findings indicate that camera shows significant potential may utilized alternative or supplementary method monitoring. of commonly available without specialized empower individuals track their regularly proactively heart-related issues.