Call for Papers November 2024 | Email: editor@uijrt.com | ISSN: 2582-6832 | Google Scholar | Impact Factor: 5.794

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Paper ID: UIJRTV5I100005
Volume: 05
Issue: 10
Pages: 34-40
Date: August 2024
ISSN: 2582-6832
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Tuyen Nguyen Tai and Mai Lo T. Ngoc, 2024. An Integrated Approach Using IoT and CNN. United International Journal for Research & Technology (UIJRT). 5(10), pp34-40.
Abstract
This page explores the use of IoT in the healthcare sector, focusing on the Internet of Medical Things (IoMT). IoT applications in healthcare can improve care quality, reduce stress for medical professionals, and enhance patient monitoring and treatment. The study also discusses the factors influencing patient health and the structure of Cellular Neural Networks (CNN). The research then presents a combined CNN model with IoT for patient healthcare, using a variety of sensors to monitor patient health and environmental conditions. The collected data is processed using the CNN algorithm to identify potential health risks. The system also includes a remote monitoring system, abnormal alerts, and patient health status prediction. The model has shown promising results in improving healthcare services by enabling early detection and timely treatment of health issues. The study concludes that the combined CNN model with IoT has great potential in the healthcare sector.

Keywords: CNN, IoMT, IoT, ESP32, SpO2


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