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

为了克服用于血糖监测的侵入性和微创性设备的局限性和不适性，滑铁卢大学正在提出一种紧凑、低成本的可穿戴传感系统，该系统利用微波传感器和人工智能，使糖尿病患者能够非侵入性地监测他们的血糖水平，而无需采样任何体外液体。该设备通过手指皮肤发送小波长的电磁信号，非侵入性地测量血糖水平。血糖水平的特征反映在传感器散射响应中，使用机器学习和人工智能进一步分析，以准确识别血糖水平。这项技术消除了植入的传感器、贴片或侵入性设备的需要，这些设备使用化学反应或通过皮肤传输液体。该设备最终将被实现为一种戴在手腕或手指上的可穿戴技术，供糖尿病患者日常使用，类似于监测心率和呼吸频率的智能手表。

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.