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腹式运动评估新生儿呼吸和睡眠的推导:一项探索性研究。

The Derivation of Epigastric Motion to Assess Neonatal Breathing and Sleep: An Exploratory Study.

机构信息

Department of Pediatrics, University of Lübeck, Lubeck, Germany.

New Buisness Development, Drägerwerk AG und Co KGaA, Lubeck, Germany.

出版信息

Klin Padiatr. 2024 Jul;236(4):240-246. doi: 10.1055/a-2135-2163. Epub 2023 Sep 6.

DOI:10.1055/a-2135-2163
PMID:37673092
Abstract

INTRODUCTION

New non-medical monitors are offered for respiration monitoring of neonates. Epigastric motion during sleep was investigated by means of a wearable tracker in parallel to clinical monitoring.

COHORT

23 hospitalised neonates ready for discharge.

METHODS

A 3-axes-accelerometer and -gyroscope was placed in a standard epigastric position. Between two routine care rounds signals were recorded in parallel to monitoring of impedance pneumography (IP), ECG and pulse oximetry. Motion signals vs. time charts were evaluated using 10-min episodes and semiquantitatively assigned to breathing signal quality, regular breathing, periodic breathing and confounding artefacts. The results were compared with the impedance pneumographic data.

RESULTS

26 recordings (mean duration: 210 min/infant) were conducted without bradycardia or apnea alarm. The gestational age at birth ranged 28.9 to 41.1 and at recording from 35.6 to 42.3 postmenstrual weeks. Motion patterns of quiet sleep with regular breathing, periodic breathing and active sleep with confounding body movements were found. The longitudinal and transversal gyroscope axes resulted in best signal quality. Periodic breathing was found in up to 80% of episodes and decreased inversely with gestational age showing significantly more periodic breathing in preterm infants. Respiration signals of the gyroscope vs. IP showed a low bias and highly variating frequencies.

CONCLUSIONS

Standardized motion trackers may detect typical neonatal breathing and body-motion-patterns, that could help to classify neonatal sleep. Respiratory rates can only be determined during quiet sleep.

摘要

简介

新的非医疗监测器可用于监测新生儿的呼吸。本研究通过可穿戴追踪器在与临床监测并行的情况下,对睡眠期间的上腹部运动进行了研究。

队列

23 名准备出院的住院新生儿。

方法

将三轴加速度计和陀螺仪放置在上腹部的标准位置。在两次常规护理轮班之间,与阻抗式肺量计(IP)、心电图和脉搏血氧饱和度监测同时记录信号。使用 10 分钟的片段评估运动信号与时间图表,并将其半定量分配给呼吸信号质量、规则呼吸、周期性呼吸和干扰伪影。将结果与阻抗式肺量计数据进行比较。

结果

在没有心动过缓和呼吸暂停警报的情况下进行了 26 次记录(平均持续时间:每个婴儿 210 分钟)。出生时的胎龄范围为 28.9 至 41.1 周,记录时的胎龄为 35.6 至 42.3 周。发现了安静睡眠时的规则呼吸、周期性呼吸和活跃睡眠时的干扰身体运动的运动模式。纵向和横向陀螺仪轴产生了最佳的信号质量。周期性呼吸在多达 80%的发作中被发现,并且随着胎龄的增加而减少,早产儿中周期性呼吸明显更多。与 IP 相比,陀螺仪的呼吸信号显示出较低的偏差和高度变化的频率。

结论

标准化运动追踪器可检测到典型的新生儿呼吸和身体运动模式,这有助于对新生儿睡眠进行分类。只有在安静睡眠期间才能确定呼吸频率。

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