计算机工程与应用 ›› 2012, Vol. 48 ›› Issue (4): 215-218.

• 工程与应用 • 上一篇    下一篇

基于智能结构的BIA人体健康测评系统研究与设计

刘 伟1,2,王建平1,孙怡宁3,张崇巍1   

  1. 1.合肥工业大学 电气与自动化工程学院,合肥 230009
    2.合肥学院 智能控制与机器视觉实验室,合肥 230106
    3.中国科学院 合肥智能机械研究所 安徽省仿生感知与先进机器人技术重点实验室,合肥 230031
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2012-02-01 发布日期:2012-04-05

Research and design of intelligent structure for test and evaluation system of human health on BIA

LIU Wei1,2, WANG Jianping1, SUN Yining3, ZHANG Chongwei1   

  1. 1.School of Electrical Engineering and Automation, Hefei University of Technology, Hefei 230009, China
    2.Intellignt Control and Compute Vision Lab, Hefei University, Hefei 230106, China
    3.The Key Lab of Biomimetic Sensing and Advanced Robot Technology, Institute of Intelligent Machines, Chinese Academy of Science, Hefei 230031, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2012-02-01 Published:2012-04-05

摘要: 针对人体健康评价中数据庞大、受影响因素多等问题,从智能特征建模方法入手结合专家系统理论提出一种智能结构人体健康评价系统模型。运用生物电阻抗技术综合人体总阻抗与分段阻抗相结合的测量方法得到人体生理参数;仿人思维模式把人体健康测评这一复杂任务系统分解为决策、测评两个层次,决策层通过定义有限状态机的转移方式,确定系统所属状态,测评层采用层次分析获取健康评价模式,有效解决了人体健康测评中的多任务、不确定的问题,为解决一类复杂系统的建模问题提供了一个解决思路。

关键词: 生物电阻抗, 智能特征模型, 人体健康测评

Abstract: An intelligent structure model is presented in test and evaluation of human health system due to the huge data and many interfering factors in the evaluation process. Human physiologic parameters are obtained with the whole body bioelectrical impedance and trunk subdivision bioelectrical impedance; according to basic ideas of imitation of human intelligence, the complex task system of test and evaluation of human health can be decomposed into two levels: decision and evaluation;the transferring manners based on finite-state-machine is defined in decision level, the analytic hierarchy process is adopted in evaluation level. The multi-mission and uncertainty problem in test and evaluation of human health system can be solved with the intelligent structure model. It brings about a method to deal with the modelling complex system.

Key words: bioelectrical impedance analyze, intelligent feature model, health evaluation