To overcome the problems of existing invasive blood glucose monitoring, like pain while pricking, uncomfortable test strips, possibilities of infections, a real-time display and 24 hours non-invasive intelligent blood glucose level monitoring system is proposed. The proposed architecture acquires data with high speed and accuracy regarding levels of blood and tissue glucose concentration in the peripheral or central blood resulting in improved glycemic control. Furthermore, the substantial random noise is filtered before the results are displayed in the real-time display monitor. The device will provide accurate readings and generate alert signals using IoT so that untoward events can be prevented due to extreme fluctuations in the blood glucose levels. The system consists of a pulsed laser diode, a photoelectric transducer, low noise amplifier, high-speed analog to digital converter (ADC), and field programmable gate array (FPGA) and the LCD. The signal to noise ratio and sampling speed are maximized. The proposed system is realized using FPGA and produces maximum efficiency and high throughput with low energy consumption.
|Original language||English (US)|
|Title of host publication||Procedia Computer Science|
|Number of pages||8|
|State||Published - Jan 22 2020|
Bibliographical noteKAUST Repository Item: Exported on 2022-06-30
Acknowledgements: The authors gratefully acknowledge the support provided by Government Primary Health Centre, Mulanur (Dharapuram, Tirupur, Tamil Nadu)-India, Chinmaya Mission Hospital (CMH), Bengaluru-India, the Research Consultancy Institute (RCI) of Effat University-Saudi Arabia, and the KACST Technology Innovation Centre for Solid State Lighting , KAUST-Saudi Arabia.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.