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Physiological basis of fractal complexity properties of heart rate variability in man

机译:男子心率变异性的分形复杂性的生理基础

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摘要

The diagnostic and prognostic power of the fractal complexity measure ‘α’ of detrended fluctuation analysis (DFA) has remained mysterious because there has been no explanation of its meaning, particularly in relation to spectral analysis. First, we present a mathematical analysis of the meaning of α, in weighted power-spectral terms. Second, we test this hypothesis and observe correlations between DFA-based and weighted spectral methods of 0.97 (P < 0.0001) for α1 and 0.98 (P < 0.0001) for α2. Third, we predict mathematically that even in conventional (unweighted) spectral analysis there should be approximate counterparts to DFA, namely that α1 and α2 behave broadly in proportion to the conventional (unweighted) ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, where HF is high frequency, LF is low frequency and VLF is very low frequency. Fourth, we test this hypothesis by physiologically manipulating spectral ratios in healthy volunteers in two ways. The effect of 0.1 Hz controlled breathing on LF/(HF + LF) correlates markedly with the effect on α1 (r = 0.73, P = 0.01); the effect on VLF/(LF + VLF) correlates markedly with that on α2 (r = 0.76, P < 0.01). Likewise, with voluntary periodic breathing the reduction in α2 correlates strongly with that in VLF/(LF + VLF) (r = 0.88, P < 0.001); effects on α1 and LF/(HF + LF) again clearly correlate (r = 0.73, P = 0.01). Finally, we examine published literature to identify previously undiscussed evidence of the relationship between α1 and LF/(HF + LF). We conclude that the α1 and α2 indices are simply frequency-weighted versions of the spectral ratios LF/(HF + LF) and VLF/(LF + VLF), respectively, multiplied by two (giving a range of 0-2). We can now understand fractal manifestations of physiological abnormalities: depressed baroreflex sensitivity → low LF/HF → low LF/(HF + LF) → low α1, while periodic breathing → high VLF/LF → high VLF/(LF + VLF) → high α2. Prognostic associations of α are no longer mysterious.
机译:去趋势波动分析(DFA)的分形复杂性度量“α”的诊断和预后能力仍然是个谜,因为还没有解释其含义,特别是在频谱分析方面。首先,我们用加权功率谱术语对α的含义进行数学分析。其次,我们检验了这一假设,并观察到基于DFA的加权方法和加权光谱方法分别对α1为0.97(P <0.0001)和对α2为0.98(P <0.0001)。第三,我们在数学上进行预测,即使在常规(未加权)光谱分析中,DFA也应有近似的对应物,即α1和α2与常规(未加权)比率LF /(HF + LF)和VLF /(LF + VLF),其中HF是高频,LF是低频,VLF是非常低频。第四,我们通过两种方式对健康志愿者的生理频谱比率进行生理检验来检验这一假设。 0.1 Hz控制呼吸对LF /(HF + LF)的影响与对α1的影响显着相关(r = 0.73,P = 0.01);对VLF /(LF + VLF)的影响与对α2的影响显着相关(r = 0.76,P <0.01)。同样,在自愿性周期性呼吸中,α2的减少与VLF /(LF + VLF)的减少密切相关(r = 0.88,P <0.001);对α1和LF /(HF + LF)的影响再次明确相关(r = 0.73,P = 0.01)。最后,我们检查了已发表的文献,以找出以前未讨论过的有关α1和LF /(HF + LF)之间关系的证据。我们得出的结论是,α1和α2指数分别是频谱比LF /(HF + LF)和VLF /(LF + VLF)的简单频率加权形式,然后乘以2(范围为0-2)。现在我们可以了解生理异常的分形表现:压抑压力反射敏感性→低LF / HF→低LF /(HF + LF)→低α1,而定期呼吸→高VLF / LF→高VLF /(LF + VLF)→高α2。 α的预后关联不再神秘。

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