Near Infrared LEDs-Based Non-Invasive Blood Sugar Testing for Detecting Blood Sugar Levels on Diabetic Care

Author:

Badriah Siti1,Bahtiar Yanyan1,Andang Asep2

Affiliation:

1. Poltekkes Kemenkes Tasikmalaya

2. Universitas Siliwangi

Abstract

Diabetes Mellitus, with its rapid development and various complications that have caused it, has become one of the deadliest diseases in the world. Early detection efforts to raise blood sugar levels can help to avoid a variety of complications. Measuring devices are needed to find out blood sugar levels detect how much sugar is in the blood. The blood sugar measuring device is invasive by taking blood from capillaries tested both in the lab and using portable testing instruments. The use of this tool results in discomfort, pain, and trauma for the patient. The purpose of this study was to determine the degree of sensitivity of the NIR LED sensor on the thumb to the little finger to the reading of light reflections coming out of body tissues.. Currently, the index finger is often used as a medium to find out how much blood sugar is in non-invasive blood sugar measurements. The other four fingers' sensitivity is unknown at this time. Because the use of the index finger, which is located in the middle, can make activities difficult at times, information on the sensitivity level of the other fingers is required. This paper discusses the sensitivity of placing the NIR LED sensor on the five fingers to determine the most sensitive finger with the best response. Based on the testing results of 15 samples, Although the index finger receives the most significant stress, the correlation and linear regression tests show that the thumb has the closest relationship with the R2 = 0.6841. With this research, a test instrument with higher sensitivity for Diabetes can be developed by placing the sensor in a comfortable area. The implication is that the results of this study can be recommended to use the thumb as an alternative to the placement of the NIR LED sensor to measure blood sugar levels non-invasively in DM patients.

Publisher

Trans Tech Publications, Ltd.

Subject

General Medicine

Reference28 articles.

1. WHO, Global Report on Diabetes,, (2016).

2. Kemenkes, Hasil Utama Riskesdas 2018,, Jakarta, (2018).

3. Kementerian Kesehatan Republik Indonesia, Cegah, Cegah, dan Cegah: Suara Dunia Perangi Diabetes,, 2018.

4. Kemenkes RI, Permenkes RI Nomor 71 Tahun 2015 tentang Penanggulangan Penyakit Tidak Menular. (2015).

5. S. Badriah, J. Sahar, J. Gunawijaya, S. Prasetyo, D. Mariani, and T. Kartilah, Sundanese culture-sensitive family nursing model improves behavior in controlling blood sugar in elderly patients with diabetes,, Enfermería Clínica, vol. 31, pp. S361–S365, Apr. (2021).

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. NIR-Based Electronic Platform for Glucose Monitoring for the Prevention and Control of Diabetes Mellitus;Sensors;2024-06-27

2. Portable NIR spectroscopy: the route to green analytical chemistry;Frontiers in Chemistry;2023-09-25

3. IoT-Based Blood Glucose Detection System;2023 IEEE 6th International Conference on Electrical, Electronics and System Engineering (ICEESE);2023-08-29

4. Performance Comparison for Hearth Rate Signal Detection for Different Location in Fingertip and Wrist Using Sensor MAX30102;Journal of Biomimetics, Biomaterials and Biomedical Engineering;2023-02-14

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3