Validation of Remote Photoplethysmography for Non-Invasive Estimation of Blood Glucose and HbA1c

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Conditions studied: Diabetes Mellitus, Hyperglycaemia (Diabetic), Hyperglycaemia (Non Diabetic), Hypoglycaemia

In brief

The goal of this observational study is to evaluate whether a non-invasive facial scan technology using remote photoplethysmography (rPPG) can accurately estimate blood glucose and HbA1c levels in adults living in the community in Jakarta. The study focuses on adults aged 18 years and older, including individuals with or without diabetes. The main questions it aims to answer are: 1. Can rPPG-based facial scan estimates of blood glucose and HbA1c match results from standard laboratory blood tests? 2. How well can rPPG identify individuals with high blood sugar or diabetes risk based on established clinical cut-off values? Researchers will compare results from the rPPG facial scan with standard laboratory measurements of fasting blood glucose and HbA1c to determine how accurate and reliable the technology is for screening purposes. Participants will: 1. Provide basic information such as age, sex, and medical history 2. Undergo a non-invasive facial scan using a smartphone-based system 3. Have a blood sample taken to measure fasting blood glucose and HbA1c 4. Complete all assessments during a single study visit This study aims to determine whether rPPG can serve as a simple, non-invasive, and accessible tool for early detection and monitoring of diabetes in community settings.

Key facts

Study ID

NCT07502690

Run by

Tarumanagara University

People needed

300

Starts

2026-03-23

Expected to finish

2026-12-30

Last updated by the study team

2026-04-20

Who can join

Age: 18 and older. Sex: any. Healthy volunteers: accepted.

You may qualify if…

• Adults aged ≥18 years
• Willing to participate and provide informed consent
• Able to undergo facial scan and blood examination
• Stable clinical condition

You may not qualify if…

• Facial conditions interfering with rPPG signal (e.g., wounds, deformities)
• Use of facial coverings obstructing camera detection
• Inability to remain still during facial scan
• Incomplete data or withdrawal from study

Where it is running

• Kelurahan Semanan — Jakarta, Jakarta Special Capital Region, Indonesia

Full record on ClinicalTrials.gov

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