Abstract
Early detection of diabetes is indispensable for safer and healthier society as millions of people suffer from diabetes mellitus. Traditionally invasive techniques are used to estimate the concentration of blood glucose. Many efforts have been made to reduce the level of invasiveness of the glucose monitoring by decreasing the blood sample volume. The challenge for non invasive assays is to develop transducers with high sensitivity, capable of detecting weak blood signals that loose energy through intervening tissues (bone, fat, skin etc), and also to separate glucose information from other overlapping blood constituents with much higher concentration (water, haemoglobin, uric acid, urea, proteins). Many biomedical spectroscopy studies have been carried out in the mid infra-red region of the spectrum where the absorbance is high but the cost of the equipment becomes prohibitively high because of the high cost of LED. This chapter deals with the spectroscopic techniques carried out in near infrared (NIR) part of the spectrum to estimate the concentration of blood glucose. The spectroscopy has been performed at the second overtone of glucose which falls in the NIR region. The NIR spectroscopy has been performed based on NIR LED and photo detector constituting an optode pair, using transmission photoplethsymography (PPG). The analog front end system has been implemented to get the PPG signal at the near infra-red wavelengths of 1070nm, 950nm, 935nm. The PPG signal that has been obtained is processed and double regression analysis has been carried out with the artificial neural network for estimating the glucose levels. The root mean square error of the prediction was 5.84mg/dL.
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Ramasahayam, S., Sri Haindavi, K., Chowdhury, S.R. (2015). Noninvasive Estimation of Blood Glucose Concentration Using Near Infrared Optodes. In: Mason, A., Mukhopadhyay, S., Jayasundera, K. (eds) Sensing Technology: Current Status and Future Trends IV. Smart Sensors, Measurement and Instrumentation, vol 12. Springer, Cham. https://doi.org/10.1007/978-3-319-12898-6_4
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DOI: https://doi.org/10.1007/978-3-319-12898-6_4
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