期刊
IEEE INTERNET OF THINGS JOURNAL
卷 6, 期 2, 页码 1920-1927出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2018.2871630
关键词
Artificial neural network (ANN); fog-cloud computing; hypertension; Internet of Things (IoT)
Hypertension is a chronic disease causing risk of different types of disorders, such as hypertension attacks, cerebrovascular attacks, kidney failure, and cardiovascular diseases. To prevent such risks, statistics related to hypertension have to be monitored and analyzed in real-time. Internet of Things (IoT)-assisted fog health monitoring system can be used to monitor blood pressure (BP) and to diagnose the stage of hypertension in real-time. In this paper, IoT-fog-based healthcare system is proposed for continuous monitoring and analysis of BP statistics to predict hypertensive users. The proposed system initially identifies the stage of hypertension on the basis of user's health parameters collected using IoT sensors at fog layer. After identifying the hypertensive stage, artificial neural network is used for predicting the risk level of hypertension attack in users at remote sites. The vital point of this paper is to continuously generate emergency alerts of BP fluctuation from fog system to hypertensive users on their mobile phones. Finally, analysis results and compiled medical information of each user are stored on cloud storage for sharing with domain experts, such as clinicians, doctors, and personal caregivers. The temporal information generated from fog layer can be utilized for providing precautionary measures and suggestions well on time for patients' wellness. Experimental results reveal that proposed framework achieves low response time, high accuracy, and bandwidth efficiency.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据