Abstract
The elderly, the chronically sick, and those who require constant monitoring benefit greatly from integrating IoT features into medical equipment, since it improves service quality and efficiency. Patients can have better outcomes in acquiring and transmitting vital healthcare data such as heart rate, SpO2, and body temperature using modern sensors and graphical processing unit (GPU). This paper presented the Medical and Healthcare IoT (MH-IoT), an IoT-based novel architecture built on open-source software and hardware for healthcare and ambient-assisted living. The MH-IoT framework incorporates non-invasive MLX90614D and MAX30102 sensors to enable uninterrupted health monitoring. Compared with conventional IoT-based healthcare facilities, the MH-IoT framework ensures and preserves patient safety, keeps connections alive when it matters most, and cuts down on human error. As a future-proof IoT solution, the MH-IoT cloud platform enables global device connectivity related to pregnancies and critical care at home for isolated patients in the İntensive Care Unit (ICU). Different test cases are executed, and comparisons are made with state-of-the-art devices to evaluate the efficacy of the developed wearable sensor platform. Since it uses open-source software and hardware, the proposed GPU-based MH-IoT technology is an excellent option for healthcare connectivity.
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Abubeker, K.M., Baskar, S., Roberts, M.K. (2024). Internet of Healthcare Things-Enabled Open-Source Non-invasive Wearable Sensor Architecture for Incessant Real-Time Pneumonia Patient Monitoring. In: Mehta, G., Wickramasinghe, N., Kakkar, D. (eds) Innovations in VLSI, Signal Processing and Computational Technologies. WREC 2023. Lecture Notes in Electrical Engineering, vol 1095. Springer, Singapore. https://doi.org/10.1007/978-981-99-7077-3_22
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DOI: https://doi.org/10.1007/978-981-99-7077-3_22
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