Effectiveness of Non-Invasive Sensor-Based Tools for Blood Glucose Detection
Dublin Core
Title
Effectiveness of Non-Invasive Sensor-Based Tools for Blood Glucose Detection
Subject
detection tool, diabetes mellitus,non-invasive;
Description
Background: Monitoring blood glucose levels is one of the
main pillars of diabetes management to prevent complications
and reduce the risk of morbidity and mortality. Today's blood
glucose monitoring is a non-invasive method that offers speed,
accuracy, and painless convenience. Referring to this need, this
study aims to demonstrate the effectiveness of non-invasive
sensor-based detection devices in checking blood glucose levels
in order to provide a more comfortable and efficient alternative
for diabetes patients.
Methods: This study developed a non-invasive glucometer
using the latest and smaller version of Arduino Uno and tested
it on 20 samples, consisting of 10 diabetes mellitus patients and
10 with normal blood glucose. The test was carried out by
comparing the measurement results from the non-invasive
device and the standard GCU Easy Touch 3-in-1 device to
determine the accuracy of the device. The tool-testing method
uses sensitivity, specificity, and accuracy.
Results: This non-invasive measuring tool is more effective
when used to measure patients with diabetes mellitus. This
device shows an error rate of 9.21%, a sensitivity of 80%, and
a specificity of 50%. Meanwhile, the overall measurement
accuracy, calculated at 83.3%, reinforces the tool's
effectiveness in providing reliable results.
Conclusion: This device has the potential to be a convenient
and painless method of blood glucose monitoring for diabetic
patients. However, further development is needed to improve
the development of machine learning-based algorithms to process sensor data so that tools can identify unique patterns from each individual and provide more accurate results
main pillars of diabetes management to prevent complications
and reduce the risk of morbidity and mortality. Today's blood
glucose monitoring is a non-invasive method that offers speed,
accuracy, and painless convenience. Referring to this need, this
study aims to demonstrate the effectiveness of non-invasive
sensor-based detection devices in checking blood glucose levels
in order to provide a more comfortable and efficient alternative
for diabetes patients.
Methods: This study developed a non-invasive glucometer
using the latest and smaller version of Arduino Uno and tested
it on 20 samples, consisting of 10 diabetes mellitus patients and
10 with normal blood glucose. The test was carried out by
comparing the measurement results from the non-invasive
device and the standard GCU Easy Touch 3-in-1 device to
determine the accuracy of the device. The tool-testing method
uses sensitivity, specificity, and accuracy.
Results: This non-invasive measuring tool is more effective
when used to measure patients with diabetes mellitus. This
device shows an error rate of 9.21%, a sensitivity of 80%, and
a specificity of 50%. Meanwhile, the overall measurement
accuracy, calculated at 83.3%, reinforces the tool's
effectiveness in providing reliable results.
Conclusion: This device has the potential to be a convenient
and painless method of blood glucose monitoring for diabetic
patients. However, further development is needed to improve
the development of machine learning-based algorithms to process sensor data so that tools can identify unique patterns from each individual and provide more accurate results
Creator
Yudha Anggit Jiwantoro, Ni Putu Dian Ayu Anggraeni, Ninik NurhidayahI Gusti Ayu Sri Puja Warnis Wijayanti, Cembun Cembun
Source
https://doi.org/10.37341/jkg.v9i2.1095
Publisher
Poltekkes Surakarta
Date
December 2024
Contributor
Sri Wahyuni
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Yudha Anggit Jiwantoro, Ni Putu Dian Ayu Anggraeni, Ninik NurhidayahI Gusti Ayu Sri Puja Warnis Wijayanti, Cembun Cembun, “Effectiveness of Non-Invasive Sensor-Based Tools for Blood Glucose Detection,” Repository Horizon University Indonesia, accessed February 13, 2026, https://repository.horizon.ac.id/items/show/10895.