Model-Based Solution for Controlling Physiology

被引：0
|
作者：
Oliveira, Elthon [1 ,2 ]
Silva, Leandro [1 ,2 ]
Almeida, Hyggo [2 ]
Perkusich, Angelo [2 ]
机构：
[1] Univ Fed Alagoas, Nucleo Ciencias Exatas NCEx, Lab Comp Pervas Percomp, Inst Comp, Campus Arapiraca, Arapiraca, Alagoas, Brazil
[2] Univ Fed Campina Grande, Embedded Ctr Engn Elect & Informat, Lab Sistemas Embarcados & Computacao Pervasiva, Campina Grande, SP, Brazil
来源：
FOUNDATIONS OF HEALTH INFORMATION ENGINEERING AND SYSTEMS (FHIES 2012) | 2013年 / 7789卷
关键词：
supervisory control theory; physiology; physical activity; DISCRETE-EVENT SYSTEMS; TEMPERATURE;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In 2008, 63% of the estimated global deaths was due to non-communicable diseases (NCD). One of the main known NCD behavioral risk factors is physical inactivity. Daily physical activity allows controlling weight, reducing NCD death risks. However, irresponsible practice of physical activities can harm both healthy and unhealthy people due to physiological disturbance. In this paper a model-based solution is presented for controlling human physiology during exercise. The presence of non-invasive sensors for collecting physiological data periodically is assumed. Such data is evaluated in comparison to a supervised reference model built using a formal language. Some challenges are also outlined.
引用
收藏
页码：167 / 175
页数：9
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