Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, P.O. Box 84428, Riyadh 11671, Saudi Arabia.
College of Computer Science and Engineering, University of Hafr Al-Batin, Hafar Al-Batin 39524, Saudi Arabia.
Sensors (Basel). 2023 May 9;23(10):4580. doi: 10.3390/s23104580.
With technological advancements, smart health monitoring systems are gaining growing importance and popularity. Today, business trends are changing from physical infrastructure to online services. With the restrictions imposed during COVID-19, medical services have been changed. The concepts of smart homes, smart appliances, and smart medical systems have gained popularity. The Internet of Things (IoT) has revolutionized communication and data collection by incorporating smart sensors for data collection from diverse sources. In addition, it utilizes artificial intelligence (AI) approaches to control a large volume of data for better use, storing, managing, and making decisions. In this research, a health monitoring system based on AI and IoT is designed to deal with the data of heart patients. The system monitors the heart patient's activities, which helps to inform patients about their health status. Moreover, the system can perform disease classification using machine learning models. Experimental results reveal that the proposed system can perform real-time monitoring of patients and classify diseases with higher accuracy.
随着技术的进步，智能健康监测系统越来越受到重视和欢迎。如今，商业趋势正从物理基础设施转向在线服务。由于 COVID-19 的限制，医疗服务发生了变化。智能家居、智能家电和智能医疗系统的概念已经流行起来。物联网 (IoT) 通过引入智能传感器从各种来源收集数据，彻底改变了通信和数据收集方式。此外，它利用人工智能 (AI) 方法来控制大量数据，以更好地利用、存储、管理和做出决策。在这项研究中，设计了一个基于 AI 和物联网的健康监测系统来处理心脏病患者的数据。该系统监测心脏病人的活动，帮助病人了解自己的健康状况。此外，该系统还可以使用机器学习模型进行疾病分类。实验结果表明，所提出的系统可以对患者进行实时监测，并以更高的精度对疾病进行分类。
