Design and development of an IoT learning system for health-related applications
Jun 20, 2023·,,,
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Milovan Medojević
Marko Vasiljević-Toskić
Dubravko Ćulibrk
Petar Šolić
Toni Perković
Milana Medojević

Abstract
This paper provides relevant outcomes regarding the design and development of an IoT learning system, aimed to stimulate learning by doing while offering IoT deployment in medical science and related practices toward health monitoring and diagnostics. The system is conceptualized as a through-hole module integration board that enables data acquisition regarding body temperature, heart rate, and the saturation of oxygen in the blood, accompanied by psychrometric parameters of the environment in which the measurement is performed. The paper provides an overview in terms of favoring the development of digital technologies curriculums due to the importance and influences it might have on future experts. Last but not least, technical specifications, schematics, and overall system appearance are enclosed in detail. Finally, possible applications in process engineering and thermo-energetics are discussed as well.
Type
Publication
International Conference on Smart and Sustainable Technologies (SpliTech), 1–5
Status
Peer-reviewed

Authors
Full Professor
I am a Full Professor in the
Department of Electronics and Computing
at the Faculty of Electrical Engineering, Mechanical Engineering and Naval
Architecture (FESB), University of Split,
Croatia, where I teach
wireless network security, wireless communication networks, data science and
reinforcement learning.
My research spans information security, applied cryptography and the Internet of
Things. Before returning to FESB in 2020, I was an assistant and then associate
professor at the University Department of Forensic Sciences
in Split. I co-founded the SpliTech international
conference and serve on the editorial board of the
Journal of Communications Software and Systems.