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首页> 外文期刊>Medical and Biological Engineering and Computing: Journal of the International Federation for Medical and Biological Engineering >Utilizing wavelet transform and support vector machine for detection of the paradoxical splitting in the second heart sound.
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Utilizing wavelet transform and support vector machine for detection of the paradoxical splitting in the second heart sound.

机译:利用小波变换和支持向量机检测第二心音中的矛盾分裂。

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摘要

Paradoxical splitting occurs when pulmonic valve (P2) closes before the aortic valve (A2). This causes second heart sound (S2) to be a single sound during inspiration and split during exhalation. Etiology delay in aortic closure: aortic stenosis, volume overload of left ventricle (LV), conduction defects in LV, and left bundle branch block (LBBB). In this article, a method was proposed in early detection of a reverse in the appearance of A2 and P2 within S2. This method is based on the time-frequency maps obtained with the continuous wavelet transform (CWT), namely, the Meyer wavelet. A number of patients with LBBB and others with fitted pacemakers were studied. The above method is combined with the support vector machine (SVM) and performance of this method is evaluated using classification accuracy (Ca), sensitivity (Se), specificity, positive, and negative predicted values. Results show that it is relatively easy to detect the reverse in A2 and P2 and the Ca and Se is 90.97 and 94.44%, respectively, for the sample of 42 patients whose data were collected from the Cardiology Department at Brighton and Sussex University Hospital in England.
机译:当肺动脉瓣(P2)在主动脉瓣(A2)之前关闭时,就会发生自相矛盾的分裂。这导致第二心音(S2)在吸气期间成为单一声音,在呼气期间分裂。病因延迟主动脉关闭:主动脉瓣狭窄,左心室(LV)的体积超负荷,LV的传导缺陷和左束支传导阻滞(LBBB)。在本文中,提出了一种早期检测S2中A2和P2外观反转的方法。该方法基于通过连续小波变换(CWT)获得的时频图,即Meyer小波。研究了许多LBBB患者和其他装有起搏器的患者。将上述方法与支持向量机(SVM)结合,并使用分类精度(Ca),灵敏度(Se),特异性,正负预测值评估该方法的性能。结果表明,从英国布莱顿和苏塞克斯大学医院心内科收集的42例患者样本中,A2和P2的反向检测相对容易,Ca和Se分别为90.97%和94.44%。 。

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