inis 20(24): e1

Research Article

Correlation Analysis of Vital Signs to Monitor Disease Risks in Ubiquitous Healthcare System

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  • @ARTICLE{10.4108/eai.18-5-2020.165676,
    author={Hassan Murtaza and Muhammad Azhar Iqbal and Qammer H. Abbasi and Sajjad Hussain and Huanlai Xing and Muhammad A. Imran},
    title={Correlation Analysis of Vital Signs to Monitor Disease Risks in Ubiquitous Healthcare System},
    journal={EAI Endorsed Transactions on Industrial Networks and Intelligent Systems},
    volume={7},
    number={24},
    publisher={EAI},
    journal_a={INIS},
    year={2020},
    month={7},
    keywords={Ubiquitous Healthcare Systems, Vital Sign Analysis, Correlation Analysis},
    doi={10.4108/eai.18-5-2020.165676}
}
  • Hassan Murtaza
    Muhammad Azhar Iqbal
    Qammer H. Abbasi
    Sajjad Hussain
    Huanlai Xing
    Muhammad A. Imran
    Year: 2020
    Correlation Analysis of Vital Signs to Monitor Disease Risks in Ubiquitous Healthcare System
    INIS
    EAI
    DOI: 10.4108/eai.18-5-2020.165676
Hassan Murtaza1, Muhammad Azhar Iqbal2,*, Qammer H. Abbasi3, Sajjad Hussain3, Huanlai Xing2, Muhammad A. Imran3
  • 1: Capital University of Science and Technology, Islamabad, Pakistan
  • 2: School of Information Science and Technology, Southwest Jiaotong University, P. R. China
  • 3: James Watt School of Engineering, University of Glasgow, United Kingdom
*Contact email: m.a.iqbal@swjtu.edu.cn

Abstract

Healthcare systems for chronic diseases demand continuous monitoring of physiological parameters or vital signs of the patients’ body. Through these vital signs’ information, healthcare experts attempt to diagnose the behavior of a disease. Identifying the relationship between these vital signs is still a big question for the research community. We have proposed a sophisticated way to identify the affiliations between vital signs of three specific diseases i.e., Sepsis, Sleep Apnea, and Intradialytic Hypotension (IDH) through Pearson statistical correlation analysis. Vital signs data of about 32 patients were taken for analysis. Experimental results show significant affiliations of vital signs of Sepsis and IDH with average correlation coefficient of 0.9 and 0.58, respectively. The stability of the mentioned correlation is about 75% and 90%, respectively.

Keywords
Ubiquitous Healthcare Systems, Vital Sign Analysis, Correlation Analysis
Received
2020-07-03
Accepted
2020-07-23
Published
2020-07-27
Publisher
EAI
http://dx.doi.org/10.4108/eai.18-5-2020.165676

Copyright © 2020 Hassan Murtaza et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.

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