直立倾斜引起的心率和血压的耦合性变化分析
发布时间：2019-03-17 13:18
【摘要】：从动态和稳态两个视角,研究直立倾斜(HUT)引起体位改变前后以及不同速度改变体位过程中RR间期(RRI)与收缩压(SBP)间耦合性的变化。所用数据来自Phsio Net发布的体位变化所引起的生理响应数据库(PRCP),含有10位健康受试者(5男5女)在HUT过程中记录的连续心电和动脉血压信号。慢速体位变化(ST)和快速体位(RT)变化分别为在50和2 s之间从水平仰卧升至75°倾斜。提取逐拍RRI和SBP数据后,运用交叉时频分析和信息分解方法,结合时域和短时分形指数(α1),进行RRI和SBP时间序列的联合分析。信息分解分析结果表明,所有的显著差异集中在压力反射导致心率变化的后向反馈回路(SBP→RRI),ST后心率的可预测性较平卧时显著增高(0.416±0.067 vs 0.626±0.127),压力反射支路的SBP-RRI耦合性升高。而在RRI→SBP方向,HUT对其几乎没有影响。ST和RT之前,所有的同类指标相比均无显著差异。ST和RT之后的稳态,虽然RRI无显著差异,但较之ST之后,RT之后RRI的变异系数显著升高(0.054±0.014 vs 0.074±0.027),α1显著降低(1.45±0.25vs 1.28±0.27)。同时,交叉时频分析结果揭示了ST和RT过程中自主神经不同的动态反应行为。研究证明了信息分解方法的有效性,可明确区分心率与血压相互作用时的前向反馈和后向反馈的主导因果方向,而且可反映HUT前后信号可预测性的变化。
[Abstract]:In this paper, the coupling between RR interval (RRI) and systolic blood pressure (SBP) (SBP) induced by upright tilt (HUT) before and after posture change and different velocity changes were studied from two angles of view: dynamic and steady state. The data were obtained from the Phsio Net-published physiological response database (PRCP), which contained continuous ECG and arterial blood pressure signals recorded by 10 healthy subjects (5 males and 5 females) during HUT. Slow-velocity postural changes (ST) and rapid postural (RT) increased from horizontal supine to 75 掳tilt between 50 s and 2 s, respectively. After extracting the beat-by-beat RRI and SBP data, the time series of RRI and SBP are analyzed jointly by means of time-frequency analysis and information decomposition, combined with time-domain and short-time fractal index (伪 1). The results of information decomposition analysis showed that all significant differences were concentrated in the backward feedback loop (0.416 卤0.067 vs 0.626 卤0.127) in which baroreflex induced heart rate changes (0.416 卤0.067 vs 0.626 卤0.127) after SBP and RRI), ST. The SBP-RRI coupling of the baroreflex branch is increased. But in the direction of RRI and SBP, HUT had little effect on it. Before St and RT, there was no significant difference in all similar indexes. The steady state after St and RT, although there was no significant difference in RRI, was higher than that after ST. After RT, the coefficient of variation of RRI increased significantly (0.054 卤0.014 vs 0.074 卤0.027) and 伪 1 decreased significantly (1.45 卤0.25vs 1.28 卤0.27). At the same time, the results of cross-time-frequency analysis reveal the different dynamic response behavior of autonomic nerve in ST and RT. The results show that the information decomposition method is effective and can clearly distinguish the leading causal direction of forward feedback and backward feedback when heart rate and blood pressure interact with each other, and it can also reflect the change of signal predictability before and after HUT.
【作者单位】： 中国医学科学院基础医学研究所北京协和医学院基础学院;中国生物医学工程学会;
【基金】：国家自然科学基金(81071225,81471746)
【分类号】：R540.4
，
本文编号：2442337
[Abstract]:In this paper, the coupling between RR interval (RRI) and systolic blood pressure (SBP) (SBP) induced by upright tilt (HUT) before and after posture change and different velocity changes were studied from two angles of view: dynamic and steady state. The data were obtained from the Phsio Net-published physiological response database (PRCP), which contained continuous ECG and arterial blood pressure signals recorded by 10 healthy subjects (5 males and 5 females) during HUT. Slow-velocity postural changes (ST) and rapid postural (RT) increased from horizontal supine to 75 掳tilt between 50 s and 2 s, respectively. After extracting the beat-by-beat RRI and SBP data, the time series of RRI and SBP are analyzed jointly by means of time-frequency analysis and information decomposition, combined with time-domain and short-time fractal index (伪 1). The results of information decomposition analysis showed that all significant differences were concentrated in the backward feedback loop (0.416 卤0.067 vs 0.626 卤0.127) in which baroreflex induced heart rate changes (0.416 卤0.067 vs 0.626 卤0.127) after SBP and RRI), ST. The SBP-RRI coupling of the baroreflex branch is increased. But in the direction of RRI and SBP, HUT had little effect on it. Before St and RT, there was no significant difference in all similar indexes. The steady state after St and RT, although there was no significant difference in RRI, was higher than that after ST. After RT, the coefficient of variation of RRI increased significantly (0.054 卤0.014 vs 0.074 卤0.027) and 伪 1 decreased significantly (1.45 卤0.25vs 1.28 卤0.27). At the same time, the results of cross-time-frequency analysis reveal the different dynamic response behavior of autonomic nerve in ST and RT. The results show that the information decomposition method is effective and can clearly distinguish the leading causal direction of forward feedback and backward feedback when heart rate and blood pressure interact with each other, and it can also reflect the change of signal predictability before and after HUT.
【作者单位】： 中国医学科学院基础医学研究所北京协和医学院基础学院;中国生物医学工程学会;
【基金】：国家自然科学基金(81071225,81471746)
【分类号】：R540.4
，
本文编号：2442337
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