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用于估计5个月大婴儿心率变异性的Porges算法、快速傅里叶变换和自回归谱分析的方法学比较。

A methodological comparison of the Porges algorithm, fast Fourier transform, and autoregressive spectral analysis for the estimation of heart rate variability in 5-month-old infants.

作者信息

Poliakova Natalia, Dionne Ginette, Dubreuil Etienne, Ditto Blaine, Pihl Robert O, Pérusse Daniel, Tremblay Richard E, Boivin Michel

机构信息

School of Psychology, Laval University, Québec City, Québec, Canada; CHU de Québec Research Center, Québec City, Québec, Canada.

出版信息

Psychophysiology. 2014 Jun;51(6):579-83. doi: 10.1111/psyp.12194. Epub 2014 Feb 24.

DOI:10.1111/psyp.12194
PMID:24611569
Abstract

Little empirical evidence exists on the comparability of heart rate variability (HRV) quantification methods commonly used in infants. The aim was to compare three methods of HRV estimation: (1) fast Fourier transform (FFT), (2) autoregressive (AR), and (3) the Porges methods. HRV was estimated in 63 healthy 5-month-old infants. HRV parameters were strongly correlated across methods (.92-.99) but yielded significantly different mean HRV estimates (Porges method > FFT > AR). There was no systematic bias over the whole range of values between the two spectral approaches, while differences between the Porges method and the spectral estimates were systematically greater for larger values. Additional comparative studies are needed to explore the between-method agreement across a range of physiological conditions.

摘要

关于婴儿常用心率变异性(HRV)量化方法的可比性,现有的实证证据很少。目的是比较三种HRV估计方法:(1)快速傅里叶变换(FFT),(2)自回归(AR),以及(3)波格斯方法。对63名健康的5个月大婴儿进行了HRV估计。HRV参数在各方法间具有强相关性(0.92 - 0.99),但得出的平均HRV估计值显著不同(波格斯方法>FFT>AR)。在两个频谱方法的整个值范围内没有系统偏差,而对于较大的值,波格斯方法与频谱估计之间的差异系统性地更大。需要进行更多的比较研究,以探讨在一系列生理条件下各方法之间的一致性。

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