SIMULATION OF PREPROCESSING SYSTEM DESIGN AND PROCESSING DEVICES NONINVASIVE GLUCOSE METERS

• Main Author: Febri Setiarani, Ivana
• Format: Final Project
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/49482
• Institution: Institut Teknologi Bandung

In 2019, Indonesia ranked 6th in the list of coutries with the largest number of people with diabetes (diabetesi). Diabetes is a long-lasting or chronic disease and is characterized by high blood sugar (glucose). Diabetes is divided into two groups, Diabetes type 1 (DM1) and Diabetes type 2 (DM2). To improve their quality of life, diabetes patient need to control blood sugar levels and prevent or overcome complications. This can be done through acombination of oral medication (metmorphine), insulin injections and routine examinations of blood sugar leves. The method of examination of sugar levels that can be classified into two parts based on the measurement method, namely routine examination at the hospital carried out by medical experts and self-monitoring carried out by the patient. Self-monitoring of blood sugar levels helps to prevent and manage patients' blood sugar levels. Using this method, patients can find out the average value of their blood sugar levels and can routinely use a healthy lifestyle with the help of recovery. Most tools that are used to measure blood levels are still using invasive methods. The use of this tool is still relatively expensive and causes discomfort and can be used to accumulate syringes, not cover spent syringes, infections, and discomfort, otherwise it will waste more funds for reagents and sugar strips for quick needs. Therefore, in this thesis requested a tool for billing blood sugar levels using non-invasive methods. This final project is focused on the design of a non-invasive measurement of blood sugar levels by the near-infrared spectroscopy method. This final project will cover a pre-processing system. The preprocessing system starts from the signal acquisition subsystem consisting of a series of Receiver and Transmitter to the signal conditioning subsystem consisting of filters and amplifiers. The Receiver circuit consists of LEDs with a wavelength of 1050 nm and the Receiver circuit consists of a photodiode, a gain circuit and a filter circuit. The LED that emits light to the finger is captured by the photodiode's absorbance light. ADC converts analog signals from sensors into digital signals that will be processed into blood sugar levels in mg / dL. This converted analog signal still contains significant noise, so to get the results of blood sugar levels with good quality and quantity, a digital filter is needed. The first version of this system was made by class of 2015 year Biomedical Engineering undergraduate student, but still has an error greater than 5.85 mg / dL. This error value can still be minimized. Therefore, improvements are needed in the existing signal preprocessing system. Some things that can be improved from this first version include the processing of analog signals, inclusion of other factors that affect measurement results such as skin color and finger width, as well as changes in components of existing projects. Due to the limitations caused by the COVID-19 pandemic, the realization and testing of this final project took the form of simulation. The simulation performed to test filters that have been designed. Synthetic data obtained from the modification of the reference dataset are used as input filters. The performance of the proposed filter method is evaluated by the SNR (Signal-to-Noise Ratio) value. The experimental results show that the proposed digital filter can increase the SNR value of the output signal to 20 dB for noise frequencies below 0.5 Hz and above 5 Hz. The evaluation shows that the digital filter used is effective in reducing noise. The maximum value and minimum value of the PPG signal are determined after the clean signal is obtained. The value is sent to Android-based smartphones using Bluetooth communication. Further work need to be done for physical realization and testing of the design.