Validation of Remote Photoplethysmography (rPPG)-Derived Cardiovascular Parameters Against Standard Clinical Measurements and Risk Scores in a Community

Angina (Stable), Coronary Artery Disease (CAD), Diabetes (DM), Dyslipidemia, Heart Disease, Hypertension

remote photoplethysmography, rPPG, cardiovascular risk, ASCVD, Framingham score, digital health, screening tool

The goal of this observational study is to evaluate whether a contactless camera-based technology, called remote photoplethysmography (rPPG), can accurately measure cardiovascular parameters and estimate cardiovascular risk in adults aged 30 years and older living in a community setting in Semanan, Jakarta. This study aims to determine if rPPG can be used as a simple and accessible tool for early cardiovascular screening. The main questions it aims to answer are: 1. Do cardiovascular parameters measured using rPPG (such as blood pressure, heart rate, and cardiac workload) agree with standard clinical measurements? 2. Do cardiovascular risk estimates generated by rPPG (such as ASCVD risk and Framingham heart age) correspond to risk calculations obtained using conventional clinical and laboratory methods? Researchers will compare results obtained from rPPG-based facial video scans with results from standard medical assessments, including blood pressure measurements, heart rate evaluation, and laboratory tests for cholesterol levels, to determine the level of agreement and accuracy. Participants will: 1. Undergo a short facial video scan (approximately 30-60 seconds) using an rPPG-based system 2. Receive standard clinical assessments, including blood pressure and heart rate measurements 3. Provide basic health information (such as age, sex, smoking status, and treatment history) Undergo simple laboratory testing for cholesterol levels This study is expected to help determine whether rPPG can be used as a reliable, non-invasive, and scalable screening tool for cardiovascular risk in community and primary healthcare settings.

Introduction Remote photoplethysmography (rPPG) is an emerging contactless technology that enables extraction of physiological signals from facial video, allowing estimation of cardiovascular parameters such as heart rate and blood pressure. With the growing burden of atherosclerotic cardiovascular disease (ASCVD), early and accessible risk screening tools are essential, particularly in community settings with limited access to laboratory-based assessments. Although established risk models such as the ASCVD and Framingham scores are widely used, their application often requires clinical and laboratory data that may not be readily available. The integration of rPPG-based measurements with cardiovascular risk estimation offers a promising approach; however, its clinical validity and agreement with standard methods remain insufficiently explored . Objective This study aims to evaluate the agreement and concordance between rPPG-derived cardiovascular parameters and standard clinical measurements, as well as to assess the alignment of rPPG-estimated ASCVD risk and Framingham heart age with conventional risk calculations. Methods This study will use an analytical observational cross-sectional design conducted in Kelurahan Semanan, Jakarta. Adult participants (≥30 years) will be recruited through community-based sampling. Each participant will undergo clinical anamnesis, physical examination (blood pressure and heart rate), and laboratory testing (total cholesterol and HDL). In parallel, rPPG-based facial video scans will be performed under standardized conditions to obtain systolic and diastolic blood pressure, mean arterial pressure, pulse pressure, heart rate, cardiac workload, ASCVD risk, and Framingham heart age. Framingham risk will be calculated using sex-specific equations based on clinical and laboratory variables. Agreement between rPPG and standard measurements will be assessed using Bland-Altman analysis, while correlations will be evaluated using Pearson or Spearman tests. Concordance for categorical risk classification will be analyzed using Cohen's Kappa. Expected Results It is expected that rPPG-derived heart rate will demonstrate good agreement with standard measurements, while blood pressure parameters will show moderate agreement. Additionally, rPPG-based ASCVD risk and Framingham heart age are anticipated to exhibit acceptable concordance with conventional risk calculations. These findings may support the potential role of rPPG as a preliminary screening and risk stratification tool in community-based and telemedicine settings.

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