An improved human physiological simulation model for healthcare applications

Liang Yu, Nan Jia, Ruomei Wang*, Jiao Jiao, Qingzhen Xu

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

Healthcare is becoming more and more important in modern society. In order to prevent some health symptoms happening in daily life, it is important to develop an efficient model to simulate the human physiological performance for predicting and reducing accidents like dehydration, exertional heatstroke, syncope, even sudden death and so on. In this paper, a novel human physiological computer simulation model is introduced. A nonlinear heart rate regulation model and a two-node thermal regulation model are integrated together to simulate the human physiological indices like core temperature, dehydration amount and heart rate. Experiment results show that the proposed physiological simulation model can well simulate the human physiological mechanisms, and some important numerical computation results predict the same trends as the experimental measurements. These simulation results can be used to analyse human physiological symptoms and assist the health risk assessment in the healthcare.
Original languageEnglish
Pages (from-to)251-258
Number of pages8
JournalInternational Journal of Embedded Systems
Volume11
Issue number3
DOIs
Publication statusPublished - May 2019

Scopus Subject Areas

  • Software
  • Hardware and Architecture

User-Defined Keywords

  • Computer simulation
  • Embedded systems
  • Healthcare
  • Human physiological model
  • Thermal regulation

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