摘要
有效量化运动过程中人体的生理状态,并提前规避运动健康风险,成为当前亟待解决的问题。通过对人体热调节机制和心率调节机制进行数学建模,提出了一个人体运动生理仿真模型,并将其用于模拟多元生理数据,如人体内核温度、出汗率、心率等;基于多元生理仿真结果数据,定义了一个运动模糊有限状态机及生理状态概率计算模型,并用于量化人体运动过程中任意时刻的生理状态。实验结果表明,仿真结果与实验结果能保持很好的一致性,提出的方法对于分析和预测运动仿真过程中的健康问题具有很好的指导意义。
Quantifying human health status and avoiding possible exercise risks in advance effectively and reasonably during exercise are the urgent problems to solve.In this paper,first,by mathematical modeling of human thermo-regulatory mechanism and heart rate regulatory mechanism,a human exercise thermo-physiology simulation model was proposed,by which multivariate physiological data such as core temperature,sweat rate,and heart rate can be simulated.Second,in order to effectively predict human exercise status,a specific fuzzy finite state machine based on the simulated physiological values was defined and a health status probability calculation model for health status quantitation at any time during exercise was established.The experiment results show that there is a same trend between the simulation results and experimental results,and the proposed method is of great value in analyzing and predicting of health problems in the process of exercise simulation.
作者
贾楠
贾晓敏
郝晶晶
谷敬
黄袁
JIA Nan;JIA Xiaomin;HAO Jingjing;GU Jing;HUANG Yuan(School of Management Science and Engineering, Hebei GEO University, Shijiazhuang 050031, China;Second Hospital, Hebei Medical University, Shijiazhuang, 050017, China;School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510006, China)
出处
《太原理工大学学报》
CAS
北大核心
2020年第3期451-461,共11页
Journal of Taiyuan University of Technology
基金
河北省社会科学基金资助项目(HB18GL019)。
关键词
热生理仿真
热调节
心率调节
模糊有限状态机
运动健康量化
thermophysiological simulation
thermoregulation
heart rate regulation
fuzzy finite state machine
exercise health quantification
