HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED
The high number of diabetes cases in the world affects glucose meter development. This happened because monitoring blood glucose is one of primary ways in handling diabetes case. There are various methods of monitoring blood glucose were being developed to ease the user and give them comfort while m...
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id-itb.:781532023-09-18T09:56:35ZHARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED Azniro, Rosyadaturrahmah Indonesia Final Project Beer Lambert, Glucose, NIR, PPG INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/78153 The high number of diabetes cases in the world affects glucose meter development. This happened because monitoring blood glucose is one of primary ways in handling diabetes case. There are various methods of monitoring blood glucose were being developed to ease the user and give them comfort while measuring their blood glucose. Conventionally, blood glucose measurement is done by pricking finger tip to get blood sample. It causes inconvenience felt by the user and it dosen't economic friendly. Currently, the use of minimally invasive method is starting to grow, such as by implanting a glucose meter device to body tissue. This method still gives a high risk to the user, such as incompatibility of the device material and the body tissue. In order to solve the new problem, non invasive methods are being developed. There are various non invasive methods for measuring blood glucose, one of them is using optical working principle, including Raman spectroscopy, NIR spectroscopy, photoacoustic and other methods. Beer Lambert-based NIR methods is used in this research. The light source wavelength of 1460 nm and 1650 nm is used in this research. The result states that the output of the circuit with 1460 nm NIR light source has a positive correlation with the glucose concentration and for the 1650 nm is vice versa. The signal being acquired to measure blood glucose concentration in this research is the PPG signal which is categorized as excellent class and for which the perfusion index has negative correlation with blood glucose concentration for 1650 nm NIR light source. The output of this system is the input for a digital signal processing system implementing an algorithm to convert the PPG signal into predicted blood glucose values. text |
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The high number of diabetes cases in the world affects glucose meter development. This happened because monitoring blood glucose is one of primary ways in handling diabetes case. There are various methods of monitoring blood glucose were being developed to ease the user and give them comfort while measuring their blood glucose.
Conventionally, blood glucose measurement is done by pricking finger tip to get blood sample. It causes inconvenience felt by the user and it dosen't economic friendly. Currently, the use of minimally invasive method is starting to grow, such as by implanting a glucose meter device to body tissue. This method still gives a high risk to the user, such as incompatibility of the device material and the body tissue. In order to solve the new problem, non invasive methods are being developed.
There are various non invasive methods for measuring blood glucose, one of them
is using optical working principle, including Raman spectroscopy, NIR spectroscopy, photoacoustic and other methods. Beer Lambert-based NIR methods is used in this research. The light source wavelength of 1460 nm and 1650 nm is used in this research. The result states that the output of the circuit with 1460 nm NIR light source has a positive correlation with the glucose concentration and for the 1650 nm is vice versa.
The signal being acquired to measure blood glucose concentration in this research is the PPG signal which is categorized as excellent class and for which the perfusion index has negative correlation with blood glucose concentration for 1650 nm NIR light source. The output of this system is the input for a digital signal processing system implementing an algorithm to convert the PPG signal into predicted blood glucose values.
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format |
Final Project |
author |
Azniro, Rosyadaturrahmah |
spellingShingle |
Azniro, Rosyadaturrahmah HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
author_facet |
Azniro, Rosyadaturrahmah |
author_sort |
Azniro, Rosyadaturrahmah |
title |
HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
title_short |
HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
title_full |
HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
title_fullStr |
HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
title_full_unstemmed |
HARDWARE INTERFACE CIRCUIT OF NON INVASIVE GLUCOSE MEASUREMENT DEVICE NEAR INFRARED REFLECTANCE BASED |
title_sort |
hardware interface circuit of non invasive glucose measurement device near infrared reflectance based |
url |
https://digilib.itb.ac.id/gdl/view/78153 |
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