Diabetes is one of the chronical disease, which paves way for many uninvited diseases. It is our duty to keep track of our glucose level in blood every time. In recent days many invasive methods are practiced for glucose measurement. Those invasive methods are not enjoyable. They include pricking of finger for blood and usage of strips every time which is not cost efficient. Objectives of this project is to develop a non-invasive glucometer with simple design and less cost. This glucometer has a setup with IR LED and Phototransistor to measure the glucose level through light intensity. The output is passed to Arduino (AT mega 328) MCU. Voltage value is calibrated to give blood glucose level as output. The intensity to be measured is of low voltage, which is then amplified. The amplified voltage is fed to a filter circuit and given to the microcontroller. Glucose level is displayed using and LCD display. Accuracy is increased by machine learning technique using MATLAB.
Diabetes is one of the chronical disease, which paves way for many uninvited diseases. It is our duty to keep track of our glucose level in blood every time. In recent days many invasive methods are practiced for glucose measurement. Those invasive methods are not enjoyable. They include pricking of finger for blood and usage of strips every time which is not cost efficient. Objectives of this project is to develop a non-invasive glucometer with simple design and less cost. This glucometer has a setup with IR LED and Phototransistor to measure the glucose level through light intensity. The output is passed to Arduino (AT mega 328) MCU. Voltage value is calibrated to give blood glucose level as output. The intensity to be measured is of low voltage, which is then amplified. The amplified voltage is fed to a filter circuit and given to the microcontroller. Glucose level is displayed using and LCD display. Accuracy is increased by machine learning technique using MATLAB.
