1950-P: Temporal Notches of Air Scattering Near Skin Imply Hyperglycemia

Introduction and Objective: Continuous monitoring of physiological signals is critical for clinical management of chronic diseases, yet achieving high sampling rates non-invasively remains challenging. High temporal resolution is required to capture rapid cognitive and physical changes, while non-invasive methods reduce infection risk and patient burden. This study demonstrates a way of rapidly measuring temporal changes in air scattering near the skin that can detect blood glucose fluctuations patterns, which is consistent with the measures by a Roche blood glucose meter. Methods: A wearable system uses a broadband LED to illuminate air above the skin and a sensor receives and analyzes scattered light in real time, producing continuous wavelength-dependent outputs at rates exceeding 10 Hz. After a meal, the air-scattering value above the skin rises to a peak and then returns to baseline, which we term a downward parabola. In contrast, a rapid postprandial drop to a minimum followed by recovery is termed a notch. Results: Continuous measurements (1 h pre- to 3 h post-meal) for 248 meals were compared with 1,021 Roche glucometer readings. Downward-parabola patterns corresponded to an average blood glucose peak of 115 mg/dL with standard deviation 11.69, while notch patterns averaged 148.6 mg/dL, standard deviation is 13.6 (Figure 1). Conclusion: Rapidly measuring temporal changes in air scattering near the skin can detect blood glucose fluctuations patterns such as notches to identify hyperglycemic events. Disclosure P. Wang: None.