A spike correction approach for variability analysis of heart rate sick infants
A spike correction approach for variability analysis of heart rate sick infants
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DOI：
10.1016/j.physa.2015.10.018
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发表时间：
2016-02-15
影响因子：
3.3
通讯作者：
du Plessis, Adre
中科院分区：
文献类型：
--
作者：
Govindan, R. B.;Al-Shargabi, Tareq;du Plessis, Adre
在重症监护监测中，心率（HR）为患病婴儿的自主神经功能提供了有价值的见解。然而，监测和临床护理的强度，如插管、吸引、切静脉以及常规运动，为连续信号的污染创造了一个不利的环境。这些伪影通常表现为HR信号中的尖峰，干扰了HR的表征和随后的评估。在研究中通常需要去除事后尖峰，但在临床监测中是不可行的。我们提出了一个两步的过程来纠正人力资源数据中的峰值。步骤1包括两个子步骤，用于去除向上偏转和向下偏转的尖峰。在步骤2中，对于不同的epsilon值，我们重复步骤1，并计算未校正的HR与校正后的HR之间差异的均方根（RMS）。显示最小RMS值或两个或多个epsilon值的相同RMS值的校正HR被认为是最佳校正数据。我们将这种方法应用于5个早产儿的HR数据。我们表明，在未校正的尖峰和校正的尖峰HR得到的光谱功率之间存在显著差异。(C) 2015 Elsevier B.V.版权所有
In critical care monitoring, the heart rate (HR) offers valuable insight into the autonomic function of sick infants. However, the intensity of monitoring and clinical care such as intubation, suctioning, and venesection as well as routine movement, create a hostile environment for contamination of continuous signals. These artifacts usually present as spikes in the HR signal, which interfere with the characterization and subsequent evaluation of the HR. Post hoc spike removal is commonly required in research studies but is not feasible in clinical monitoring. We propose a two-step process to correct spikes in HR data. Step 1 comprises of two sub-steps to remove the spikes with upward deflection and downward deflection. In Step 2, we repeat Step 1, for different epsilon values and calculate root mean square (RMS) of the difference between the uncorrected HR and the corrected HR. The corrected HR that displayed either the smallest RMS value or the same RMS values for two or more epsilon values is considered optimally corrected data. We demonstrate the application of this approach to HR data collected from 5 preterm infants. We show that there is a significant difference between the spectral powers obtained for spike uncorrected and spike corrected HR. (C) 2015 Elsevier B.V. All rights reserved.