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Sensitivity of detrended fluctuation analysis applied to heart rate variability of preterm newborns

机译:趋势波动分析在早产儿心率变异性中的敏感性

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Detrended fluctuation analysis (DFA), a fractal analysis method which is widely used in heart rate variability (HRV) studies, is used to analyze the scaling behaviour of RR interval series of preterm neonates. The average scaling behaviour, calculated using 30000 RR intervals (3 - 4 hours), is characterized by a scaling exponent of 1.4 ± 0.1 at small scales (n ≤ 20) and a smaller exponent of 1.0 ± 0.1 at larger scales. It is shown that the scaling behaviour is not constant over such long segments and how heart rate patterns, associated with specific physiological mechanisms, contribute to the observed variation of the scaling exponents. The effect of the two most important patterns, spikes (either due to faulty peak detection or true decelerations in heart rate) and periodic fluctuations, on the scaling behaviour is investigated.
机译:去趋势波动分析(DFA)是一种分形分析方法,广泛用于心率变异性(HRV)研究,用于分析早产儿RR间隔系列的缩放行为。使用30000 RR间隔(3-4小时)计算出的平均缩放比例行为的特征是,在小比例缩放(n≤20)时缩放比例为1.4±0.1,在大比例缩放时则为1.0±0.1。结果表明,在如此长的时间段内,缩放行为并不恒定,并且与特定生理机制相关的心率模式如何促进缩放指数的变化。研究了两个最重要的模式,尖峰(由于错误的峰值检测或心率的真正减慢)和周期性波动对缩放行为的影响。

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