EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (Oct 2020)

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

  • Hassan Murtaza,
  • Muhammad Iqbal,
  • Qammer Abbasi,
  • Sajjad Hussain,
  • Huanlai Xing,
  • Muhammad Imran

DOI
https://doi.org/10.4108/eai.18-5-2020.165676
Journal volume & issue
Vol. 7, no. 24

Abstract

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

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