摘要
目的应用递归图示法和递归定量法分析清醒大鼠的血压信号,评价可否检测出模拟失重所引起的心血管调节改变。方法以尾部悬吊大鼠模型模拟失重对心血管调节功能的影响,另设同步对照动物进行比较。14d后,通过慢性植入的PE-50-PE-10聚乙烯导管连续记录清醒状态下两组大鼠的血压数据。数据处理使用递归图示法(recurrence plot analysis,RPA)对大鼠收缩压变异性(systolic bloodpressure variability,SBPV)信号的非线性特征进行定性分析;随后使用递归定量分析(recurrencequantification analysis,RQA)计算递归百分数(%REC)、确定线段百分数(%DET)和Lmax指数3个特征指标值,对其进行量化处理。结果与对照组相比,悬吊组大鼠血压的3个非线性指数均显著降低(P<0.05或0.01),表明血压波动趋于更加混沌的状态。对照组的%REC、%DET与Lmax指数分别为90.28±1.21、99.24±0.16与84.57±2.28,而模拟失重组则为74.89±2.13、93.61±2.82与57.71±2.14。结论RPA与RQA是动脉血压信号处理的一种新的方法,可以检测出14d模拟失重所引起的清醒大鼠心血管调节变化,在心血管信号分析领域中有一定应用前景。
Objective To evaluate whether changes in cardiovascular regulatory function induced by simulated microgravity can be detected by recurrence plot analysis(RPA) and recurrence quantification analysis(RQA) of blood pressure signals obtained from conscious rats. Method The tail-suspended rat model was used to simulate the cardiovascular effect of microgravity for 14 d. Blood pressure (BP) data were recorded by a pressure transducer connected to a PE-50 - PE-10 catheter chronically inserted via the right femoral artery into the posterior abdominal aorta in conscious rats. Nonlinearity in BP signals were studied using recurrence plot analysis and then quantified by three nonlinear indexes, namely % REC (percentage of recurrence), % DET (percentage of determinism), and Lmax(length index) extracted from the BP signal. Result Compared with that of control group (CON), the three nonlinear indexes were significantly decreased in the tail-suspended group (SUS) (P 〈0.05 or 0.0l), and indicated that the fluctuation of blood pressure tended to be in a more chaotic state. In CON, the values of % REC,% DET, and Lm,x were 90.28 ± 1. 21, 99.24 ± 0.16, and 84.57 ± 2.28, respectively; whereas in SUS, the values were 74.89 ± 2.13, 93.61 ± 2.8:2, and 57.71 ±2.14, respectively. Conclusion RPA and RQA are novel nonlinear methods for BP data processing which is effective in detecting changes in cardiovascular regulatory function in conscious rats after 14 d simulated microgravity, and seem to be useful in assessing cardiovascular regulatory function in other studies.
出处
《航天医学与医学工程》
CAS
CSCD
北大核心
2006年第6期394-398,共5页
Space Medicine & Medical Engineering
基金
国家自然科学基金资助项目(30170278
30470649
30570677)
关键词
血压变异性
非线性分析
递归图示法
递归定量分析法
blood pressure variability
nonlinear analysis
recurrence plot analysis
recurrence quantification analysis