冠心病患者短时心血管时间序列分析研究
[Abstract]:The morbidity and mortality of coronary heart disease (CAD) are increasing year by year, and it is becoming younger and younger. The fundamental way to prevent the occurrence and even disability of CAD lies in early warning. It is very important to study how to noninvasively identify the high-risk individuals of CAD in the early / subclinical stage. Nonlinear analysis of cardiovascular time series provides the possibility to solve the above problems. This paper aims to explore the potential value of noninvasive noninvasive coronary heart disease detection using cardiovascular time series measured at short time windows (5 minutes). Three clinical trials were conducted to investigate the variations of univariate variability and bivariate coupling characteristics of cardiovascular time series in resting and cuff-altered peripheral vascular resistance in healthy volunteers, patients with mild coronary stenosis, and patients with coronary heart disease. The above-mentioned nonlinearity of cardiovascular time series was also studied. This study provides a potentially standardized analytical approach for identifying individuals at high risk of coronary artery disease by short-term cardiovascular time series. The main work and innovations are as follows: (1) Fuzzy entropy algorithm has been developed. Traditional fuzzy entropy has been ignored. The influence of sampling error and system disturbance is analogous to the static characteristics of sensor sensitivity domain, the physical fuzzy membership function is defined, and the improved fuzzy entropy and cross fuzzy entropy are proposed. The statistical advantage of the improved algorithm is more obvious. (2) The range of cardiovascular time series analysis is expanded. The variability and coupling characteristics of short-term cardiac electro-mechanical activity time series in resting state are studied in patients with coronary heart disease, and the functional state of cardiac mechanical activity and the self-regulation of cardiovascular system are revealed. The results showed that short-term heart rate variability (HRV), diastolic interval variability (DTIV) and cardiac cycle-diastolic interval (HRV-DTIV) were significantly higher in patients with coronary artery disease than in healthy volunteers and patients with mild coronary artery stenosis. Cardiac cycle-systolic interval (HRV-STIV) and diastolic-systolic interval (DTIV-STIV) coupling were significantly reduced (p0.05 or p0.01), and the variability of diastolic interval and the coupling of cardiac cycle-systolic interval and diastolic-systolic interval were significantly lower in patients with mild coronary stenosis than in healthy volunteers (p0.05). Stenosis may lead to the decline of autonomic nervous system function and cardiac mechanical function regulating cardiovascular system activity, and the deterioration of their correlation, and its effect on cardiac mechanical function appears in the early stage of coronary stenosis. (3) Using upper limb cuff pressure stimulation, peripheral vascular resistance was studied pioneering. The results showed that the heart rate variability of healthy elderly volunteers was lower than that of young volunteers, but the variation of peripheral vascular resistance did not affect the heart rate variability of both groups. Significant effect (p0.05); For patients with coronary artery stenosis, changing the process of peripheral vascular resistance can significantly reduce the improved fuzzy entropy in patients with mild coronary artery stenosis and patients with coronary heart disease (p0.01). It suggests that coronary artery stenosis may lead to a decrease in the cardiovascular system's ability to adapt to changes in the external environment and change the resistance of peripheral vessels through the cuff. Heart rate variability (HRV) analysis under state of mind can further assist in non-destructive detection of coronary heart disease (CHD). (4) To explore the dynamic changes of cardiovascular time series in patients with CHD after percutaneous coronary intervention (PCI), and provide a potential tool for intraoperative detection and prognosis analysis. The improved fuzzy entropy of variability and the coupling of cardiac cycle-diastolic interval, diastolic cycle-systolic interval and cardiac cycle-pulse wave propagation time interval (HRV-PTTV) did not change significantly at 1 day postoperatively, but significantly increased at 14 days postoperatively (p0.05 or p0.01) as compared with preoperative and postoperative 1 day postoperatively. It is suggested that the autonomic nervous function of the cardiovascular system needs a long time to be improved, while the arterial elasticity and left ventricular function can be significantly improved in the short term after percutaneous coronary intervention. Cardiovascular time series analysis is helpful to the patients with coronary heart disease after percutaneous coronary intervention. Evaluation of cardiovascular system functional status.
【学位授予单位】:山东大学
【学位级别】:博士
【学位授予年份】:2016
【分类号】:R541.4
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