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Skin Color Information Extraction using a Cylindrical Reflection Sensor for Glycated Hemoglobin Estimation using PPG signals

Glycated hemoglobin (HbA1c) is an important measure that should be monitored in daily life for the measurement and management of diabetes. Since the HbAl c reflects the average blood glucose level of about 3 months, it is possible to effectively monitor the blood glucose level of diabetic patients. In addition, a noninvasive HbAl c estimation method using the PPG signal has been the subject of recent research, and this method can enable convenient health management without the pain of blood collection and the risk of infection. Several methods have been proposed to noninvasively estimate HbA1c, but they do not secure sufficient accuracy. In order to overcome this, it is urgent to find a method to improve the accuracy by considering skin color and skin thickness. In this paper, we propose a method for extracting skin color information using a cylindrical object, and through this, we suggest the possibility of performance improvement by considering skin effect in a noninvasive HbAl c estimation.