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首页> 外文期刊>Early human development >Heart rate variability during REM and non-REM sleep in preterm neonates with and without abnormal cardiorespiratory events.
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Heart rate variability during REM and non-REM sleep in preterm neonates with and without abnormal cardiorespiratory events.

机译:患有和没有异常心肺事件的早产儿在REM和非REM睡眠期间的心率变异性。

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摘要

AIM: Analyse heart rate variability (HRV) of preterm neonates undergoing a polysomnography in relation to the occurrence of abnormal cardiorespiratory events on one hand and the type of sleep states on the other hand. METHODS: To quantify nonlinear HRV, the numerical noise titration technique is used, adapted to neonatal heart rate data. HRV is calculated for 30 preterm neonates with mean post-conceptional age of 36.4weeks, divided into three groups according to the occurrence of abnormal events during the polysomnographies and the eventual home monitoring. RESULTS: Periods of non-REM sleep have lower noise limit values and can be distinguished significantly from periods of REM sleep and from the total recording period. The presence of abnormal events does not influence this finding. Significant differences between groups are only found during non-REM segments by means of the noise limit value computed via numerical noise titration while the linear HRV parameters were not able to discriminate. CONCLUSION: ECG measurement of a relatively short non-REM sleep period without specific abnormal events is sufficient to define a mature cardiorespiratory pattern in preterm infants.
机译:目的:分析发生多导睡眠图的早产新生儿的心率变异性(HRV),一方面与异常心肺事件的发生有关,另一方面与睡眠状态的类型有关。方法:为了量化非线性HRV,使用了适用于新生儿心率数据的数值噪声滴定技术。计算30例早孕婴儿的HRV,其平均受孕后年龄为36.4周,根据多导睡眠监测期间异常事件的发生情况以及最终的家庭监护将其分为三组。结果:非快速眼动睡眠时期具有较低的噪声极限值,并且可以与快速眼动睡眠时期和总记录时间区分开来。异常事件的存在不会影响此发现。仅在非快速眼动段期间,才可通过数字噪声滴定计算出的噪声极限值来发现组之间的显着差异,而线性HRV参数则无法区分。结论:心电图测量相对较短的非快速眼动睡眠时间,无特定异常事件,足以确定早产儿的成熟心肺模式。

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