Development of e-Health Education System using IoT and Web-based Application for People Living with Diabetes

Authors

  • Norhashimah Mohd Saad Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Abdul Rahim Abdullah Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Nur Nasrien Syazwani Haznan Faculty of Electronics and Computer Engineering and Technology, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Muhammad Sufyan Safwan Mohamad Basir Department of Electrical Engineering, Politeknik Mukah, KM 7.5 Jalan Oya, 96400, Mukah, Sarawak, Malaysia
  • Ezreen Farina Shair Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia
  • Shaarmila Kandaya Faculty of Electrical Technology and Engineering, Universiti Teknikal Malaysia Melaka, Jalan Hang Tuah Jaya, 76100 Durian Tunggal, Melaka, Malaysia

Keywords:

Diabetes Care, e-health, Internet of Things Technology

Abstract

Diabetes is a growing concern globally, including in Malaysia, where its prevalence continues to rise, straining healthcare resources and impacting individuals' well-being. The inadequacy of ongoing support and limited consultation time exacerbates poor self-care practices, leading to uncontrolled blood sugar levels and adverse health outcomes. To address these challenges, this project focuses on developing the e-Health Medical Connecting Platform for Diabetes Care, named Medicolink, which integrates web-based resources with hardware, sensor capabilities and IoT technology. Through this innovative approach, the aim is to empower individuals with diabetes by providing them with interactive tools for self-monitoring and data collection. The system employs non-invasive techniques for painless and routine blood glucose monitoring. The system is connected to the body through non-invasive sensors that detect blood glucose level. By gently attaching a finger to the MAX30102 photodetector sensor, blood glucose parameters are detected, with data seamlessly integrated into the Medicolink website. Users can access their health information via both the website and a smartphone application, facilitating real-time monitoring and informed decision-making.

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Published

01-11-2025

How to Cite

Development of e-Health Education System using IoT and Web-based Application for People Living with Diabetes. (2025). Borneo Engineering & Advanced Multidisciplinary International Journal, 4(2), 19-28. https://beam.pmu.edu.my/index.php/beam/article/view/253

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