A Detailed Research on Human Health Monitoring System Based on Internet of Things

Author:

Ru Lei1ORCID,Zhang Bin2ORCID,Duan Jing3ORCID,Ru Guo4ORCID,Sharma Ashutosh5ORCID,Dhiman Gaurav6,Gaba Gurjot Singh7ORCID,Jaha Emad Sami8,Masud Mehedi9ORCID

Affiliation:

1. College of Physical Education, Fuyang Normal University, Fuyang 236041, China

2. Anhui University of Chinese Medicine, Hefei 230012, China

3. Middle School Affiliated to Fuyang Normal University, Fuyang 236037, China

4. Graduate School, Beijing Sport University, Beijing 100084, China

5. Institute of Computer Technology and Information Security, Southern Federal University, Russia

6. Government Bikram College of Commerce, Punjab, India

7. School of Electronics and Electrical Engineering, Lovely Professional University, Punjab 144411, India

8. Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah 21589, Saudi Arabia

9. Department of Computer Science, College of Computers and Information Technology, Taif University, P. O. Box 11099, Taif 21944, Saudi Arabia

Abstract

The technological advent in smart sensing devices and the Internet has provided practical solutions in various sectors of networking, public and private sector industries, and government organizations worldwide. This study intends to combine the Internet of Things (IoT) technology with health monitoring to make it personalized and timely through allowing the interconnection between the devices. This work is aimed at exploring various wearable health monitoring modules that people wear to monitor heart rate, blood pressure, pulse, body temperature, and physiological information. The information is acquired using the wireless sensor to create a health monitoring system. The data is integrated using the Internet of Things for processing, connecting, and computing to achieve real-time monitoring. The temperature of three people measured by the temperature thermometer is 36.4, 36.7, and 36.5 (°C), respectively, and the average acquired by the monitoring system of the three people is 36.5, 36.4, and 36.5 (°C), respectively, indicating that the system demonstrated relatively accurate and stable testability. The user’s ECG is displayed clearly and conveniently using the ECG acquisition system. The pulse rate of the three people tested by the system is 78, 78, and 79 (times/min), respectively, similar to the medical pulse meter results. The physiological information acquired using the semantic recognition, matching system, and character matching system is relatively accurate. It concludes that the human health monitoring system based on the Internet of Things can provide people with daily health management, instrumental in heightening health service quality and level.

Funder

Taif University

Publisher

Hindawi Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

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