首页> 外文期刊>Autonomic neuroscience: basic & clinical >Non-linear dynamics of cardiovascular system in humans exposed to repetitive apneas modeling obstructive sleep apnea: aggregated time series data analysis.
【24h】

Non-linear dynamics of cardiovascular system in humans exposed to repetitive apneas modeling obstructive sleep apnea: aggregated time series data analysis.

机译:暴露于重复性呼吸暂停建模阻塞性睡眠呼吸暂停的人群中心血管系统的非线性动力学:汇总时间序列数据分析。

获取原文
获取原文并翻译 | 示例
           

摘要

OBJECTIVE: Testing the hypothesis that alterations in non-linear dynamics of the cardiovascular variability appear in healthy, awake subjects during voluntary apnea. SUBJECTS AND METHODS: Ten young subjects performed 20 apneas 60 s each separated by 1 min free breathing. Inter-beat interval (IBI) measured as RR-interval in ECG, systolic (SYS) and diastolic (DIAS) arterial blood pressure. stroke volume (SV), cardiac output (CO) and total peripheral resistance (TPR) were non-invasively recorded and computed by Portapress 2 system. Correlation dimension according to Grassberger-Proccacia algorithm (CD) and ratio of % determinism versus % recurrence (RDR) computed from recurrence plot according to Webber and Zbiluth [J. Appl. Physiol. 76 (1994) 965] were used as the indices of chaos and complexity. Sequential time series of cardiovascular variables in consecutive 60-s apneas and inter-apnea free breathings were separately windowed and aggregated. CD and RDR of aggregated apneic time series were compared with CD and RDR values of aggregated time series of inter-apnea free breathing, 10 min at rest and 10 min recovery. Reliability of the aggregation method of sequential time series was tested on transformed simulated data generated by Lorenz model. Error in CD and RDR estimation did not exceed 5% and 1%. respectively. RESULTS: CD of cardiovascular variables computed from aggregated apneas was significantly reduced and RDR augmented versus control and recovery periods. CD and RDR values of inter-apnea phases were in between those in control and during apneas. Time domain linear variance (SD) was increased during aggregated apneas. CONCLUSIONS: Signal dynamics dependent windowing and data aggregation could be a useful tool for non-linear analysis of short repeatable sequential time series; time domain linear variability of the cardiovascular dynamics is augmented while complexity reduced during apneic chemoreceptor stimulation; alterations in non-linear dynamics of cardiovascular variables during apneas in healthy normotensive subjects may suggest an early sign of a mechanism implicated in arterial hypertension in OSAS.
机译:目的:检验以下假设:健康,清醒的受试者在自愿性呼吸暂停期间,心血管变异性的非线性动力学发生改变。受试者和方法:十名年轻受试者进行60 s呼吸暂停20秒,每次呼吸间隔1分钟。节拍间隔(IBI)以ECG,收缩压(SYS)和舒张压(DIAS)动脉血压中的RR间隔来衡量。通过Portapress 2系统无创记录并计算每搏输出量(SV),心输出量(CO)和总外周阻力(TPR)。根据Grassberger-Proccacia算法(CD)的相关维数,以及根据Webber和Zbiluth从重复图计算出的确定性百分率与复发百分率(RDR)之比[J.应用生理学。 [76(1994)965]被用作混沌和复杂性的指标。将连续60 s呼吸暂停和无呼吸暂停的自由呼吸中心血管变量的顺序时间序列分别进行窗口化和汇总。将累积呼吸暂停时间序列的CD和RDR与无呼吸暂停,自由呼吸,休息10分钟和恢复10分钟的累积时间序列的CD和RDR值进行比较。对Lorenz模型生成的转换后的模拟数据测试了时序时间序列聚合方法的可靠性。 CD和RDR估计中的误差分别不超过5%和1%。分别。结果:与对照和恢复期相比,从总呼吸暂停计算出的心血管变量CD显着降低,RDR增加。呼吸暂停间期的CD和RDR值介于对照呼吸暂停和呼吸暂停期间。在累积呼吸暂停期间,时域线性方差(SD)增加。结论:依赖信号动力学的窗口和数据聚合可能是对短的可重复序列时间序列进行非线性分析的有用工具。在呼吸暂停化学感受器刺激过程中,心血管动力学的时域线性可变性增加,而复杂性降低;健康正常血压受试者呼吸暂停期间心血管变量非线性动力学的改变可能暗示了OSAS中涉及动脉高血压的机制的早期迹象。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号