An exercise health simulation method based on integrated human thermophysiological model
type: Item
instance of: scholarly article
title: An exercise health simulation method based on integrated human thermophysiological model
zbMATH Open document ID: 1382.92106
DOI: 10.1155/2017/9073706
author: Nan Jia
author: Xiaohui Chen
author: Liang Yu
author: Ruomei Wang
author: Kaixing Yang
author: Xiaonan Luo
published in: Computational \& Mathematical Methods in Medicine
publication date: 2018-03-15T00:00:00Z
review text: Summary: Research of healthy exercise has garnered a keen research for the past few years. It is known that participation in a regular exercise program can help improve various aspects of cardiovascular function and reduce the risk of suffering from illness. But some exercise accidents like dehydration, exertional heatstroke, and even sudden death need to be brought to attention. If these exercise accidents can be analyzed and predicted before they happened, it will be beneficial to alleviate or avoid disease or mortality. To achieve this objective, an exercise health simulation approach is proposed, in which an integrated human thermophysiological model consisting of human thermal regulation model and a nonlinear heart rate regulation model is reported. The human thermoregulatory mechanism as well as the heart rate response mechanism during exercise can be simulated. On the basis of the simulated physiological indicators, a fuzzy finite state machine is constructed to obtain the possible health transition sequence and predict the exercise health status. The experiment results show that our integrated exercise thermophysiological model can numerically simulate the thermal and physiological processes of the human body during exercise and the predicted exercise health transition sequence from finite state machine can be used in healthcare.
Mathematics Subject Classification ID: 92C30
zbMATH DE Number: 6850525
zbMATH Keywords: healthy exercise
zbMATH Keywords: cardiovascular function
zbMATH Keywords: physiological indicators
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2017/9073706
OpenAlex ID: W2625051690
Wikidata QID: Q33862516
cites work: Possible patient early diagnosis by ultrasonic noninvasive estimation of thermal gradients into tissues based on spectral changes modeling
cites work: A multi-segmented human bioheat model for transient and asymmetric radiative environments
cites work: Q4337945
DBLP publication ID: journals/cmmm/JiaCYWYL17
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description: scientific article; zbMATH DE number 6850525