Research on the cardiovascular function evaluation system based on noninvasive detection indices.
10.7507/1001-5515.201807064
- Author:
Xiaorui SONG
1
;
Gaoyang LI
2
;
Xuezheng WANG
1
;
Shigang WANG
1
;
Xiangming FAN
3
;
Yao YANG
3
;
Aike QIAO
4
Author Information
1. Department of Radiology, Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong 271016, P.R.China.
2. Graduate School of Biomedical Engineering, Tohoku University, Sendai 9808577, Japan.
3. Surgrey of Pediatric Heart Center, Beijing Anzhen Hospital Affiliated to Capital Medical University, Beijing 100029, P.R.China.
4. College of Life Science and Bioengineering, Beijing University of Technology, Beijing 100124, P.R.China.qak@bjut.edu.cn.
- Publication Type:Journal Article
- Keywords:
analytic hierarchy process;
fuzzy mathematics;
health assessment;
noninvasive detection
- MeSH:
Cardiovascular Diseases;
diagnosis;
Cardiovascular System;
Fuzzy Logic;
Humans;
Models, Cardiovascular;
Research
- From:
Journal of Biomedical Engineering
2019;36(4):649-656
- CountryChina
- Language:Chinese
-
Abstract:
Based on the noninvasive detection indeices and fuzzy mathematics method, this paper studied the noninvasive, convenient and economical cardiovascular health assessment system. The health evaluation index of cardiovascular function was built based on the internationally recognized risk factors of cardiovascular disease and the noninvasive detection index. The weight of 12 indexes was completed by the analytic hierarchy process, and the consistency test was passed. The membership function, evaluation matrix and evaluation model were built by fuzzy mathematics. The introducted methods enhanced the scientificity of the evaluation system. Through the Kappa consistency test, McNemer statistical results ( = 0.995 > 0.05) and Kappa values (Kappa = 0.616, < 0.001) suggest that the comprehensive evaluation results of model in this paper are relatively consistent with the clinical, which is of certain scientific significance for the early detection of cardiovascular diseases.
