文章基本信息

标题：Remote Healthcare Monitoring using Expert System
本地全文：下载
作者：Prajoona Valsalan ; Najam ul Hasan ; Imran Baig 等
期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2022
卷号：13
期号：3
DOI：10.14569/IJACSA.2022.0130370
语种：English
出版社：Science and Information Society (SAI)
摘要：With the introduction of the novel coronavirus and the ensuing epidemic, health care has become a primary priority for all governments. In this context, the best course of action is to implement an Internet of Things (IoT)-based remote health monitoring system. As a result, IoT systems have attracted significant attention in academia and industry, and this trend is likely to continue as wearable sensors and smartphones become more prevalent. Even if the doctor is a substantial distance away, IoT health monitoring enables the prevention of illness and the accurate diagnosis of one’s current state of health through the use of a portable physiological monitoring framework that continually monitors the patient’s systolic blood pressure, blood glucose, oxygen saturation, and diastolic blood pressure. The expert system generates a diagnosis of the patient’s health status based on the sensor data. Once the patient’s sensor data is transmitted to the cloud via a WiFi module, the expert system uses it to diagnose the patient’s health status in order to facilitate any medical attention or critical care that may be required for his condition. The simulation is carried out in Matlab, and the results of the study are presented to demonstrate the suggested system’s significance.
关键词：Internet of Things (IoT); remote health care mon-itoring; wearable sensors; fuzzy logic