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Separation of heart sounds and heart murmurs by Hilbert transform envelogram

机译:希尔伯特变换包络图分离心音和心脏杂音

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摘要

Heart sounds and murmurs provide crucial diagnosis information for several heart diseases such as natural or prosthetic valve dysfunction and heart failure. Many pathological conditions of the cardiovascular system cause murmurs and aberrations in heart sounds. Phonocardiography provides the clinician with a complementary tool to record the heart sounds heard during auscultation. The advancement of intra-cardiac phonocardiography, combined with modern digital processing techniques, has strongly renewed researchers' interest in studying heart sounds and murmurs. This paper presents an algorithm for the detection of heart sounds (the first and second sounds, S1 and S2) and heart murmurs. The segmentation algorithm is based on the detection of the envelope of the phonocardiogram signal by the Hilbert transform technique, which is used to extract a smooth envelogram which enable one to apply the tests necessary for temporal localization of heart sounds and heart murmurs.
机译:心音和杂音为几种心脏病(例如自然或人工瓣膜功能障碍和心力衰竭)提供重要的诊断信息。心血管系统的许多病理状况都会引起心音杂音和畸变。心音描记法为临床医生提供了一种辅助工具,用于记录听诊期间听到的心音。心脏内心动描记法的发展与现代数字处理技术的结合,极大地激发了研究人员对研究心音和杂音的兴趣。本文提出了一种用于检测心音(第一和第二声音,S1和S2)和心脏杂音的算法。分割算法基于希尔伯特变换技术对心电图信号的包络的检测,该技术用于提取平滑的信封图,使人们能够应用心音和心脏杂音的时间定位所必需的测试。

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