PubMed · 13622015
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B NAJDANOVIC, M KORAC. [Selective phonocardiography].. https://pubmed.ncbi.nlm.nih.gov/13622015/
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The aim of this prospective study was to investigate, using echocardiography, the relationship between heart murmurs found in the neonatal period and atrial septal defect (ASD). Heart murmurs were detected in 115 of 5124 term neonates within 1 month after birth. The babies were followed by echocardiographic examination with attention to the atrial septal area. Heart murmurs of 11 term neonates (9.6%) were associated with interatrial shunts consistent with ASD. The defect closed spontaneously in 7 out of the 11 neonates by 18 months of age. Two neonates showed evidence of right ventricular overload from early infancy. This study showed that nearly 1 neonate in 10 with a heart murmur up to 1 month after birth had an interatrial shunt associated with ASD. We concluded that the absence of a flap sign (valve-like openings of the defects) affects the development of the heart murmur of ASD found in the neonatal period.
It is acknowledged that the first heart sound S1 consists of two major, high-frequency components M1 and T1, corresponding, respectively, to the vibrations of the mitral and tricuspid valves and their surrounding tissues following valve closure in early systole. In this study, the matching pursuit (MP) method was used to decompose S1 into a series of time-frequency atoms. M1 and T1 were separated from the parameterised atoms of S1. The first two dominant frequencies of M1 were identified and used as features of a linear classifier to diagnose mitral valve abnormality. This method was applied to two sets of S1 data recorded from 15 patients with normal, and 15 patients with abnormal, bioprosthetic mitral valves, respectively. It was found that the two features exhibit significant differences between the normal and abnormal sets (p< 0.001). Using these two features, a correct classification of 93% was obtained. In addition, when the Wigner distribution of S1 was calculated from the decomposed atoms and compared with a spectrogram, the MP method provided better results. The study demonstrates that the MP method may be a promising technique for heart sound analysis.
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