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如何使用心率变异性:长期心电图中幼儿和成人迷走神经活动的量化。

How to Use Heart Rate Variability: Quantification of Vagal Activity in Toddlers and Adults in Long-Term ECG.

机构信息

Division of Physiology, Otto Loewi Research Center, Medical University of Graz, 8010 Graz, Austria.

Institute of Medical Engineering, Graz University of Technology, 8010 Graz, Austria.

出版信息

Sensors (Basel). 2020 Oct 21;20(20):5959. doi: 10.3390/s20205959.

Abstract

Recent developments in noninvasive electrocardiogram (ECG) monitoring with small, wearable sensors open the opportunity to record high-quality ECG over many hours in an easy and non-burdening way. However, while their recording has been tremendously simplified, the interpretation of heart rate variability (HRV) data is a more delicate matter. The aim of this paper is to supply detailed methodological discussion and new data material in order to provide a helpful notice of HRV monitoring issues depending on recording conditions and study populations. Special consideration is given to the monitoring over long periods, across periods with different levels of activity, and in adults versus children. Specifically, the paper aims at making users aware of neglected methodological limitations and at providing substantiated recommendations for the selection of appropriate HRV variables and their interpretation. To this end, 30-h HRV data of 48 healthy adults (18-40 years) and 47 healthy toddlers (16-37 months) were analyzed in detail. Time-domain, frequency-domain, and nonlinear HRV variables were calculated after strict signal preprocessing, using six different high-frequency band definitions including frequency bands dynamically adjusted for the individual respiration rate. The major conclusion of the in-depth analyses is that for most applications that implicate long-term monitoring across varying circumstances and activity levels in healthy individuals, the time-domain variables are adequate to gain an impression of an individual's HRV and, thus, the dynamic adaptation of an organism's behavior in response to the ever-changing demands of daily life. The sound selection and interpretation of frequency-domain variables requires considerably more consideration of physiological and mathematical principles. For those who prefer using frequency-domain variables, the paper provides detailed guidance and recommendations for the definition of appropriate frequency bands in compliance with their specific recording conditions and study populations.

摘要

近年来,小型可穿戴传感器在非侵入式心电图(ECG)监测方面取得了进展,为长时间、轻松且无负担地记录高质量 ECG 提供了机会。然而,虽然它们的记录已经大大简化,但心率变异性(HRV)数据的解读却是一个更为微妙的问题。本文旨在提供详细的方法讨论和新的数据材料,以便根据记录条件和研究人群提供有关 HRV 监测问题的有益通知。特别关注长时间监测、活动水平不同的时间段以及成人和儿童的监测。具体而言,本文旨在让用户意识到被忽视的方法学限制,并为选择适当的 HRV 变量及其解释提供有根据的建议。为此,详细分析了 48 名健康成年人(18-40 岁)和 47 名健康幼儿(16-37 个月)的 30 小时 HRV 数据。在严格的信号预处理后,计算了时域、频域和非线性 HRV 变量,并使用了包括动态调整个体呼吸率的频带在内的六种不同高频带定义。深入分析的主要结论是,对于大多数需要在不同情况下和活动水平下进行长期监测的应用,时域变量足以了解个体的 HRV,从而了解生物体对日常生活不断变化的需求的动态适应。要选择和解释频域变量,需要更多地考虑生理和数学原理。对于那些喜欢使用频域变量的人,本文提供了详细的指导和建议,以根据其特定的记录条件和研究人群定义适当的频带。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/be99/7589813/40cc098740e7/sensors-20-05959-g001.jpg

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