A study of heart rate variability as sleep apnoea predictor over two different databases

Veronica Peiteado-Brea, D. Álvarez-Estévez, V. Moret-Bonillo
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引用次数: 3

Abstract

The main aim of this work is to study the consistency of ECG-based approaches for the screening of apnoeic patients, which are based on estimation of the Heart Rate Variability (HRV) by computing the so called High Frequency to Low Frequency (HF/LF) ratio. Different intervals and thresholds proposed in the literature for the previous ratio are compared with those found by the authors, and tested on two different databases. While more studies need to be launched on this area, our results suggest that patient classification according to this approach suffers from high variability and is widely dependent of the set of patients used for the tests.
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在两个不同的数据库中对心率变异性作为睡眠呼吸暂停预测因子的研究
这项工作的主要目的是研究基于心电图筛选呼吸暂停患者的方法的一致性,这些方法是基于通过计算所谓的高频与低频(HF/LF)比率来估计心率变异性(HRV)。将文献中提出的不同区间和阈值与作者的发现进行了比较,并在两个不同的数据库上进行了测试。虽然需要在这一领域开展更多的研究,但我们的研究结果表明,根据这种方法进行的患者分类存在高度可变性,并且广泛依赖于用于测试的患者组。
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