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Biotic Patterns of Heart Rate Variation in Depressed and Psychotic Subjects

机译：抑郁和精神病患者心率变化的生物模式

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This article presents novel quantitative methods to study R to R interval (RRI) series that identify their characteristic pattern of organization, Bios, and their variation in psychiatric illness. In this study twenty-four hour series of RRI were extracted from Holier recordings of healthy subjects (N = 74) and small groups of patients with affective depression or psychosis. These data were analyzed with recurrence and statistical methods. In all subjects, RRI series showed complexes (clusters of recurrences), such as those observed with mathematically-generated biotic series but not in chaotic or random series. RRI series from healthy persons showed diversification (increase in variance with the duration of the series analyzed), novelty (less recurrence isometry than copies randomized by shuffling), causal order (more consecutive isometry than shuffled copies), and asymmetric statistical distribution. These imprints of creative processes are characteristic of mathematical Bios, and are absent in chaos. Bios can be distinguished from random walk series by the nonrandom pattern of the series of differences between heartbeats, as well as by measures of consecutive isometry and of partial autocorrelation. These defining characteristics of Bios are significant signs of health. In comparison with healthy controls, psychiatric patient groups showed more isometry and more consecutive isometry than healthy subjects. Psychiatric patients also showed no diversification. This study highlights the process that produces heart rate variation as being non-stationary and creative (bios, not equilibrium or chaos) and causal (not stochastically generated by the coexistence of multiple factors). These results thus are significant regarding psychiatric health.
机译：本文提供了新颖的定量方法来研究R到R间隔（RRI）系列，以确定其特征性组织模式，Bios及其在精神疾病中的变异。在这项研究中，从健康受试者（N = 74）和少数患有情感抑郁或精神病的患者的Holier录音中提取了24小时RRI系列。这些数据用递归和统计方法进行了分析。在所有受试者中，RRI系列均显示复合物（复发簇），例如使用数学生成的生物序列观察到的复合物，但未显示混沌或随机序列。来自健康人的RRI系列显示出多样化（随分析序列的持续时间增加而变化），新颖性（与通过改组随机复制的副本相比，复发等距更少），因果顺序（比经过改组的副本更连续等距）和不对称统计分布。这些创造过程的烙印是数学Bios的特征，并且在混乱中不存在。 Bios可以通过心跳之间差异序列的非随机模式以及连续等距测度和部分自相关的测量值，与随机游走序列区分开。 Bios的这些定义特征是健康的重要标志。与健康对照组相比，精神病患者组显示出比健康受试者更多的等轴测图和更连续的等轴测图。精神病患者也没有表现出多样化。这项研究突出了导致心率变化的过程，该过程既不稳定又富有创造力（生物，而不是平衡或混乱），并且是因果关系（不是由多种因素共存随机产生的）。因此，这些结果对于精神健康非常重要。

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