INTEGRATION OF PRE-PROCESSING AND DIGITAL SIGNAL PROCESSING SYSTEMS FOR HARDWARE OF NON-INVASIVE BLOOD GLUCOSE MONITORING WITH NEAR-INFRARED SPECTROSCOPY METHOD

Diabetes mellitus is a disease with abnormal blood sugar levels, which the spread of this disease classified more quickly and widely among the people. Having a healthy lifestyle is the best solution for managing diabetes, and can be supported by regular monitoring of blood sugar levels for sufferers...

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Bibliographic Details
Main Author: Elisabeth Manurung, Betty
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/42563
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Institution: Institut Teknologi Bandung
Language: Indonesia
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Summary:Diabetes mellitus is a disease with abnormal blood sugar levels, which the spread of this disease classified more quickly and widely among the people. Having a healthy lifestyle is the best solution for managing diabetes, and can be supported by regular monitoring of blood sugar levels for sufferers. At present, the process of selfmonitoring of blood sugar levels is still invasive which each individual has his own perspective on its use, comfortable or uncomfortable in the use of invasive devices (pricking). In terms of economics, the use of invasive devices is relatively expensive, because device needed the needles / lancet and disposable strips. Therefore, a noninvasive monitoring tool for blood glucose levels that is more economical, safe and comfortable is needed without pricking. This final project deals with the design of a non-invasive blood sugar level monitoring tool using the near-infrared spectroscopy method. Specifically this final project focuses on the development and integration of the pre-processing system so that analog signals from sensors can be converted into digital signals which will be processed into blood sugar levels in mg / dL. In addition, to get the results of blood sugar levels with good quality and quantity, device need a 5Hz digital filter (equivalent to two times 2.5Hz, which is the maximum human heart rate of ~ 150 bpm) to condition the analog signal output from the preprocessing system. After testing, the resulting digital signal is free from noise and better than the analog signal generated on the acquisition of the device signal.