Assessment of Blood Glucose Measurement Using New Noninvasive Technology: Protocol and Methodology

This protocol paper outlines the methodology designed for assessing and interpreting participants' blood sugar profiles, especially on demographic variability, in order to evaluate BGEM, a photoplethysmography-based artificial intelligence model designed to estimate blood glucose levels and diabetic risk. The clinical trial was conducted on Indonesian participants with and without diabetes while considering various influencing factors. This dataset is designed to enable assessment of the model's performance across diverse racial, risk factors, and skin-type groups, with the aim of making the model more valid and reliable.