Author:
Ekawita Riska,Nasution Ahmad Azmi,Yuliza Elfi,Suardi Nursakinah,Suwarsono Suwarsono
Abstract
Glucose levels that accumulate in the blood can cause other organ disorders and even cause death. To prevent such occurrence, continuous and regular glucose measuring and monitoring is required for diabetes mellitus (DM) patients. Glucose measurement for DM patients are generally performed several times a day, so be required easy, harmless method of measuring the DM patients, and monitoring data are well recorded. Thus in this research, an android non-invasive glucose level system with wireless communication and automatic data storage on the phone’s memory was developed. The study was begun with the built of electronic and software systems as the central part of the measuring system. The electronic section consists of laser and light sensors that respond to a change in blood glucose (BG) levels, the microcontroller that controlled all of the measuring processes, and Bluetooth modules as transceiver on data communication of the android. The software section is built using an App Inventor developed by the Massachusetts Institute of Technology (MIT) to display and store data measurement on the mobile phone. The calibration process of light sensors is done with the standard tool and at last, the wireless communication systems testing and BG levels measurement. The result shows that 94 mg/dl of BG levels by standard tools equals 2.86 volts of voltage measured by the design system. The higher the BG level, the lower the voltage be. Increase the BG level causes the resistance between the transmitter and the receiver to raise and the voltage becomes low.
Publisher
Universitas Negeri Surabaya
Cited by
7 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. Enhancing Diabetes Detection through a Hybrid AI Model Utilizing Wearable Technology;2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT);2023-07-06
2. Real-time Non-invasive Blood Glucose Monitoring using Advanced Machine Learning Techniques;2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC);2023-07-06
3. Real-time Monitoring and Early Detection of Diabetes with Bioactive and Biological Impedance Sensors using Hybrid Machine Learning Algorithm;2023 4th International Conference for Emerging Technology (INCET);2023-05-26
4. Design and Implementation of Patient Monitoring System Based on IoT Using Oxygen Saturation;2023 Eighth International Conference on Science Technology Engineering and Mathematics (ICONSTEM);2023-04-06
5. loT Home Medical Check-up System Application and Database Design;2022 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE);2022-12-13