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通过心音描记术测量数据的详细分析来扩展非侵入性胎儿监测。

Extended noninvasive fetal monitoring by detailed analysis of data measured with phonocardiography.

机构信息

Faculty of Information Technology, P´azm´any P´eterCatholic University, Budapest, Hungary.

出版信息

IEEE Trans Biomed Eng. 2011 Jan;58(1):64-70. doi: 10.1109/TBME.2010.2071871. Epub 2010 Sep 2.

Abstract

This paper presents a complex heuristic method for the evaluation of fetal heart sounds, applying simultaneously several algorithms, where the autocorrelation technique has been completed with the wavelet transform and the matching pursuit methods. In this way, a more reliable heart rate variability can be achieved and further parameters of the cardiac operation can be assessed in addition to the conventional cardiotocographic examination. This also comprises those parameters, which can be investigated only with long-term or continuous monitoring, and those, which rely on a very accurate estimation of the heart rate variability. The proposed method provides a way for assessing fetal heart murmurs, which is a completely new possibility for monitoring the well-being of the fetus.

摘要

本文提出了一种用于评估胎儿心音的复杂启发式方法,同时应用了几种算法,其中自相关技术与小波变换和匹配追踪方法相结合。通过这种方式,可以实现更可靠的心率变异性,并在传统的胎心监护检查之外评估心脏操作的进一步参数。这还包括那些只能通过长期或连续监测进行研究的参数,以及那些依赖于对心率变异性进行非常准确估计的参数。所提出的方法为评估胎儿心杂音提供了一种途径,这是监测胎儿健康的一种全新可能性。

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