Risk evaluation of myocardial infarction based on multivariate trend analysis.
- Author:
Jianrong WANG
1
;
Qinkai DENG
;
Lan XIA
;
Feixue LIANG
;
Jinsong GUO
;
Weilong LI
Author Information
1. Lab of Bioinformatics, School of Basic Medical Science, Southern Medical University, Guangzhou 510515, China.
- Publication Type:Journal Article
- MeSH:
Aged;
Electrocardiography;
Female;
Forecasting;
Heart Rate;
Humans;
Male;
Middle Aged;
Multivariate Analysis;
Myocardial Infarction;
physiopathology;
Pulse;
Risk Assessment
- From:
Journal of Biomedical Engineering
2012;29(5):835-840
- CountryChina
- Language:Chinese
-
Abstract:
This paper is aimed to study the feasibility of myocardial infarction risk assessment by noninvasive multivariable trend analysis, including heart rate variability (HRV), deceleration capacity (DC) of heart rate and pulse wave velocity (PWV). Thirty five patients with cardiovascular diseases (11 Myocardial infarction (MI), 8 coronary artery disease (CAD), 6 artery atherosclerosis (AA) and 10 hypertension), and 31 healthy subjects were randomly selected into a control group for this research as comparison. 15 min ECG and 1 min pulse wave data were collected based on the analysis workbench developed by our Lab. HRV, DC and PWV between the cardiovascular group and the control group were analyzed and compared. The results showed that the HRV indices, DC and PWV were significantly higher than those in the control group. The DC and the HRV indices including NN50, PNN50 and TINN especially presented a decline trend that was consistent with the regularity of cardiovascular development process. This noninvasive multivariable trend analysis of HRV, DC and PWV can be a reference for the earlier risk prediction of MI.
