A new algorithm for detecting central apnea in neonates.
A new algorithm for detecting central apnea in neonates.
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DOI：
10.1088/0967-3334/33/1/1
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发表时间：
2012-01
影响因子：
3.2
通讯作者：
Delos JB
中科院分区：
文献类型：
--
作者：
Lee H;Rusin CG;Lake DE;Clark MT;Guin L;Smoot TJ;Paget-Brown AO;Vergales BD;Kattwinkel J;Moorman JR;Delos JB
早产儿呼吸暂停（AOP）是一个重要的和常见的临床问题，往往是在NICU出院的限速过程。使用现有的胸阻抗监测准确检测临床上重要的新生儿呼吸暂停发作是临床上的当务之急。该技术依赖于当肺部充满空气（一种高阻抗物质）时阻抗的变化。然而，一个潜在的混杂因素是血液流经心脏。因此，呼吸暂停期间的心脏信号可能被误认为是呼吸。我们在这里报告了一种新的滤波器，以消除心脏信号的胸部阻抗，采用了一种新的呼吸暂停技术，最适合消除心率信号，允许改善呼吸暂停检测。我们还开发了一种呼吸暂停检测方法，采用心脏滤波后的胸部阻抗。该方法已被应用到一个大型的数据库的生理信号，我们证明，相比目前使用的监视器，新的方法给呼吸暂停检测大幅改善。
Apnea of prematurity (AOP) is an important and common clinical problem, and is often the rate-limiting process in NICU discharge. Accurate detection of episodes of clinically important neonatal apnea using existing chest impedance monitoring is a clinical imperative. The technique relies on changes in impedance as the lungs fill with air, a high impedance substance. A potential confounder, however, is blood coursing through the heart. Thus the cardiac signal during apnea might be mistaken for breathing. We report here a new filter to remove the cardiac signal from the chest impedance that employs a novel resampling technique optimally suited to remove the heart rate signal, allowing improved apnea detection. We also develop an apnea detection method that employs the chest impedance after cardiac filtering. The method has been applied to a large database of physiological signals, and we prove that, compared to the presently-used monitors, the new method gives substantial improvement in apnea detection.