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A Method for the Estimation of the Timing of Heart Sound Components Through Blind Source Separation in Multi-Source Phonocardiography

机译:多源心动图中通过盲源分离估计心音成分时序的方法

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Recently, phonocardiography (PCG) has gained importance as a diagnostic tool for cardiovascular diseases. In particular, the measurement of the time of occurrence of heart sounds may be of interest, in the clinical context, for the analysis of the electromechanical coupling of the heart. To date, though, there is no standardization concerning the positioning of the microphone probe over the chest, and this causes low accuracy and consistency in the measured timing values. Multi-source phonocardiography is a promising approach to face the stated issue. In this work, we present a methodology to estimate the latency of the components of the two main heart sounds towards the corresponding R-wave peak based on the Blind Source Separation (BSS) of the contributions of the left and right side of the heart. We tested our algorithm on a sample population of 12 subjects over 10-minute long recordings of three simultaneous PCG signals and one electrocardiographic (ECG) signal for reference. Results show that the approach is robust with respect to the usage of different algorithms to perform BSS (FastICA, JADE). The measured timing values are consistent with what measured by means of a single-source algorithm we previously developed. This methodology looks promising in terms of obtaining accurate measurements of the time of occurrence of heart sound components and may have an impact in the clinical context.
机译:最近,心音描记法(PCG)作为心血管疾病的诊断工具已变得越来越重要。特别地,在临床情况下,对于心脏的机电耦合的分析,心音发生时间的测量可能是感兴趣的。但是,迄今为止,还没有关于麦克风探针在胸上的定位的标准化方法,这导致了所测定时值的低准确性和一致性。多源心动图是解决上述问题的一种有前途的方法。在这项工作中,我们提出了一种方法,用于根据心脏左右两侧的贡献的盲源分离(BSS)来估计两个主要心音分量朝相应的R波峰的潜伏时间。我们在12位受试者的样本人口中测试了我们的算法,这些受试者在10分钟的长记录中同时记录了三个PCG信号和一个心电图(ECG)信号,以供参考。结果表明,该方法相对于使用不同算法执行BSS(FastICA,JADE)而言是可靠的。测得的时序值与我们先前开发的通过单源算法测得的时序值一致。就获得心音成分发生时间的准确测量而言,该方法看起来很有希望,并且可能在临床环境中产生影响。

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