Volume 21, Issue 55, January - June, 2024

Intelligent pressure and temperature sensor algorithm for diabetic patient monitoring: An IoT approach

Mohd Izzat Nordin¹, Mohamad Khairi Ishak², Abdul Sattar Din¹, Mohamad Tarmizi Abu Seman^1♦

¹School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia 14300, Nibong Tebal, Penang, Malaysia
²Department of Electrical and Computer Engineering, College of Engineering and Information Technology, Ajman University, Ajman, United Arab Emirates

^♦Corresponding author
School of Electrical and Electronic Engineering, Engineering Campus, Universiti Sains Malaysia 14300, Nibong Tebal, Penang, Malaysia

ABSTRACT

The present study evaluated how an Internet of Things (IoT)-based innovative algorithm could employ feature values to identify distinct plantar foot locations. The proposed system could also assess static and dynamic plantar pressure conditions through an enhanced feature extraction method. This study emphasized the significance of intelligent systems in monitoring diabetic patients and their potential to improve patients' lives. The proposed IoT-centred approach offers a promising solution for accurately determining unique foot locations and plantar pressure parameters. The algorithm could predict potential diabetic issues in advance via an optimized feature extraction, aiding proactive interventions. Available systems need to be improved to provide real-time data. Furthermore, fundamental alerts might be a nuisance for the users. Consequently, this study proposes a more personalized and context-aware monitoring device. The findings provided insights into innovative sensor employment in diabetic patient care and underscored IoT's role in refining the system's accuracy and reliability.

Keywords: Internet of Things (IoT), Arduino UNO, Intelligent Pressure and Temperature Sensor Algorithm, Diabetic Foot Ulcer (DFU), Blynk

Indian Journal of Engineering, 2024, 21(55), e2ije1676

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DOI: https://doi.org/10.54905/disssi.v21i55.e2ije1676

Published: 18 March 2024