NSERC i2i Market Assessment: system & method for glucose sensing with millimeter waves

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To overcome the limitations and discomforts associated with the invasive and minimally-invasive devices used for blood glucose monitoring, the University of Waterloo is proposing a compact low-cost wearable sensing system that utilizes microwave sensors and Artificial Intelligence to enable diabetics to non-invasively monitor their blood glucose levels without sampling any fluid outside of the body. The device measures the blood glucose levels non-invasively by sending electromagnetic signals of small wavelengths through the finger skin. Signatures of blood glucose levels are reflected in the sensor scattering responses that are further analyzed using machine learning and artificial intelligence to identify the blood glucose levels accurately. The technology eliminates the need for implanted sensors, patches or invasive devices that use chemical reactions or fluid transfer through the skin. The device will be ultimately realized as a wearable technology around the wrist or finger for daily use by diabetics similar to smart watches that monitor the heart and breathing rates.