Cysarz Dirk, Van Leeuwen Peter, Edelhäuser Friedrich, Montano Nicola, Somers Virend K, Porta Alberto
Integrated Curriculum for Anthroposophic Medicine, University of Witten/Herdecke, Germany. Institute for Integrative Medicine, University of Witten/Herdecke, Germany.
Physiol Meas. 2015 Apr;36(4):643-57. doi: 10.1088/0967-3334/36/4/643. Epub 2015 Mar 23.
Traditional measures of heart rate variability (HRV) in the time or frequency domain (e.g. standard deviation of normal-to-normal intervals, SDNN, or the high frequency component of spectral analysis, HF) may be used to track vagal and sympathetic modulation directed to the sinus node. In this study, we assess the ability of symbolic analysis to monitor cardiac autonomic regulation during two autonomic challenges (phenylephrine and nitroprusside; low and high dose of atropine). To assess the effect of the coarse graining procedure, symbolic series obtained from four different transformations over the original series and the series of successive differences of the original values. The analysis focused on patterns of length 3 and exploited a redundancy reduction strategy to group patterns into a small number of families. It turns out that each symbolic series created by the four transformations still contained sufficient dynamical features to quantify differences of cardiovascular changes during the pharmacological challenges. The symbolic series created by transformations of the beat-to-beat interview, i.e RR interval series, showed that patterns without variations (0V) appear more often during a high dose of atropine compared to rest or to a low dose of atropine. Furthermore, patterns with two unlike variations (2UV) appear more often during a low dose of atropine and less often during a high dose of atropine. Differences of nitroprusside and phenylephrine could also be assessed by patterns with these variations. In conclusion, the changes of cardiovascular regulation during pharmacological challenges can be assessed by the analysis of symbolic dynamics derived from the RR interval series independently of the specific symbolic transformation.
传统的心率变异性（HRV）时域或频域测量指标（如正常到正常间期的标准差，SDNN，或频谱分析的高频成分，HF）可用于追踪作用于窦房结的迷走神经和交感神经调节。在本研究中，我们评估符号分析在两种自主神经刺激（去氧肾上腺素和硝普钠；低剂量和高剂量阿托品）期间监测心脏自主神经调节的能力。为了评估粗粒化过程的效果，从原始序列的四种不同变换以及原始值的逐次差分序列中获得符号序列。分析聚焦于长度为3的模式，并采用冗余减少策略将模式分组为少量类别。结果表明，由这四种变换创建的每个符号序列仍包含足够的动态特征，以量化药理学刺激期间心血管变化的差异。由逐搏间期序列（即RR间期序列）变换创建的符号序列表明，与休息或低剂量阿托品相比，高剂量阿托品期间无变化的模式（0V）出现得更频繁。此外，具有两种不同变化（2UV）的模式在低剂量阿托品期间出现得更频繁，而在高剂量阿托品期间出现得较少。硝普钠和去氧肾上腺素的差异也可以通过这些变化的模式来评估。总之，药理学刺激期间心血管调节的变化可以通过对RR间期序列衍生的符号动力学分析来评估，而与特定的符号变换无关。
