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An Algorithm for Classification of Opening Snaps and Third Heart Sounds Based On Wavelet Decomposition

机译：一种基于小波分解的打开捕捉和第三心声分类的算法

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Mitral stenosis is generally caused by a rheumatic heart disease, and leads to enlargement of the left atrium and weakened atrium walls. It is often manifested through the heart sound known as opening snap (OS). However, the OS sounds very similar to the third heart sound (S3). In this paper, we propose an algorithm to differentiate between these two sounds. The algorithm is based on a wavelet-based feature, and is tested on preliminary data from thirty recordings containing either OS or S3. The results of the analysis showed that that the proposed method attains 92.9% sensitivity and 93.8% specificity. The analysis also showed that the algorithm is sensitive to the choice of the wavelet function and the decomposition level. Nevertheless, these results encourage further investigations of the proposed approach and its capability to differentiate these clinically relevant cases.
机译：二尖瓣狭窄通常是由风湿性心脏病引起的，并导致左心房和弱化心房壁的扩大。它通常表现为通过称为打开的心声（OS）。但是，OS听起来与第三心声非常相似（S3）。在本文中，我们提出了一种算法来区分这两个声音。该算法基于基于小波的特征，并且在包含OS或S3的三十次记录的初步数据上测试。分析结果表明，所提出的方法达到92.9％的灵敏度和93.8％的特异性。该分析还表明，该算法对小波函数的选择和分解级别敏感。然而，这些结果鼓励进一步调查所提出的方法及其能力来区分这些临床相关案件。

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