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Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman

Research Article

An IoT-Enabled Smart Medical Bed for Monitoring Patient's Health

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  • @INPROCEEDINGS{10.4108/eai.1-5-2025.2361529,
        author={Shahad  Al Yahyaei and Mazhar Hussain  Shaik},
        title={An IoT-Enabled Smart Medical Bed for Monitoring Patient's Health},
        proceedings={Proceedings of the 7th MEC Student Research Conference on Artificial Intelligence and Cyber Security, MECSRC 2025, 01 May 2025, Muscat, Oman},
        publisher={EAI},
        proceedings_a={MECSRC},
        year={2026},
        month={3},
        keywords={lcd panel blynk software iot sensors medical bed},
        doi={10.4108/eai.1-5-2025.2361529}
    }
    
  • Shahad Al Yahyaei
    Mazhar Hussain Shaik
    Year: 2026
    An IoT-Enabled Smart Medical Bed for Monitoring Patient's Health
    MECSRC
    EAI
    DOI: 10.4108/eai.1-5-2025.2361529
Shahad Al Yahyaei1,*, Mazhar Hussain Shaik1
  • 1: Middle East College, Muscat, Oman
*Contact email: sh.k.alyahyaee@gmail.com

Abstract

The growing demand for healthcare personnel, combined with the increasing elderly population, highlights the need for more efficient and automated patient-monitoring solutions. Conventional monitoring requires frequent manual checks, making the process intrusive and labour-intensive for medical staff. This paper presents an IoT-enabled smart medical bed designed to monitor key physiological indicators using integrated sensing modules. The system focuses on elderly patients, who represent a large proportion of hospital admissions and require close monitoring of vital parameters. The proposed design captures heart rate, oxygen saturation, body temperature, and pressure through embedded sensors, transmitting the collected data to the Blynk platform and displaying it locally on an LCD panel. By enabling continuous, real-time observation of multiple patients, the system reduces the need for constant room visits by nursing teams and allows timely intervention when abnormal readings are detected.

Keywords
lcd panel, blynk software, iot sensors, medical bed
Published
2026-03-18
Publisher
EAI
http://dx.doi.org/10.4108/eai.1-5-2025.2361529
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