A Noncontact Method for Measuring Sugar Levels in the Blood

Diabetes is a prevalent disease worldwide that can cause severe health problems. Accurate blood glucose detection is crucial for diabetes management. The current method of measuring blood glucose involves pricking a finger to extract a blood droplet, that is then placed on a strip and into a glucometer. A group of researchers led by Prof. Zeev Zalevsky from the Alexander Kofkin Faculty of Engineering at Bar Ilan University developed a non-invasive blood glucose measurement system that combines the use of a laser and artificial intelligence. A magnetic field is applied to the subject's finger, a camera records the speckle patterns generated by the laser light reflected from the finger, and the acquired data is processed using artificial intelligence. The researchers demonstrated that the noncontact system they developed allows the detection of blood plasma glucose levels with high accuracy. The proposed noncontact sensing mechanism has the potential to replace the current method of measuring blood glucose level, making glucose measurement more convenient and less painful for patients.

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