Edge computing-based internet of medical things for healthcare using deep learning Online publication date: Wed, 31-Jan-2024
by Himabindu Sathyaveti; C. Gomathy
International Journal of Embedded Systems (IJES), Vol. 16, No. 2, 2023
Abstract: Edge cloud computing (ECC) servers for the internet of medical things (IoMT) have made medical systems smarter by providing patients with access to cutting-edge technologies that enable choosing medical facilities. Modern medical solutions have gained popularity because of their economic and ethical benefits. To improve the quality of service (QoS), more bandwidth (BW) and edge computing (EC) are essential. Connecting the IoMT to high-processing devices like these healthcare service devices often demands low network latencies. This study reviews the most important, currently existing state-of-the-art methods, including edge-based rehabilitation systems (ERS), IoT-based infectious disease management (IoT-IDM), and ML usage in healthcare IoT applications. Finally, the performances of the IoMT-influenced edge computing-based healthcare applications are evaluated for quality-of-service metrics such as latency, energy consumption, bandwidth utilisation rate, computational cost, memory consumption, and offloaded efficiency.
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