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Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy

Anders Pors, Kaspar G. Rasmussen, Rune Inglev, Nina Jendrike, Amalie Philipps, Ajenthen G. Ranjan, Vibe Vestergaard, Jan Erik Henriksen, Kirsten Nørgaard, Guido Freckmann, K.D. Hepp, Michael C. Gerstenberg, Anders Weber

2023ACS Sensors44 citationsDOIOpen Access PDF

Abstract

In diabetes prevention and care, invasiveness of glucose measurement impedes efficient therapy and hampers the identification of people at risk. Lack of calibration stability in non-invasive technology has confined the field to short-term proof of principle. Addressing this challenge, we demonstrate the first practical use of a Raman-based and portable non-invasive glucose monitoring device used for at least 15 days following calibration. In a home-based clinical study involving 160 subjects with diabetes, the largest of its kind to our knowledge, we find that the measurement accuracy is insensitive to age, sex, and skin color. A subset of subjects with type 2 diabetes highlights promising real-life results with 99.8% of measurements within A + B zones in the consensus error grid and a mean absolute relative difference of 14.3%. By overcoming the problem of calibration stability, we remove the lingering uncertainty about the practical use of non-invasive glucose monitoring, boding a new, non-invasive era in diabetes monitoring.

Topics & Concepts

CalibrationRaman spectroscopyDiabetes mellitusMedicineComputer scienceIdentification (biology)Stability (learning theory)Biomedical engineeringArtificial intelligenceMedical physicsStatisticsMachine learningMathematicsOpticsPhysicsBiologyEndocrinologyBotanySpectroscopy Techniques in Biomedical and Chemical ResearchSpectroscopy and Chemometric AnalysesNon-Invasive Vital Sign Monitoring
Accurate Post-Calibration Predictions for Noninvasive Glucose Measurements in People Using Confocal Raman Spectroscopy | Litcius