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Spectral analysis of heart valve sound for detection of prosthetic heart valve diseases

机译:心脏瓣膜声音的频谱分析以检测人工心脏瓣膜疾病

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The spectral analysis of heart valve sound is a noninvasive diagnostic method known to be useful in evaluating the state of the heart valve function. This may provide early detection of valve calcification, thrombus or destruction, since previous studies have shown that the dominant frequency peak moved to a high frequency area when natural heart valve leaflets were calcified, stiffened or destroyed. However, it is important for a heart valve sound diagnostic system to find a proper spectral analysis method on phonocardiography. Until now, conventional frequency analyses such as the Fourier transform or autoregressive spectral estimation technique have been used to estimate spectral components of a phonocardiogram, but they are inappropriate because the signal frequency is assumed to remain constant during the transform interval. To overcome this problem, in this study, FOS (Fast Orthogonal Search)
机译:心脏瓣膜声音的频谱分析是一种已知用于评估心脏瓣膜功能状态的非侵入性诊断方法。由于以前的研究表明,当自然心脏瓣膜小叶钙化,变硬或被破坏时,主频峰移至高频区域,因此可以提早发现瓣膜钙化,血栓或破坏。然而,对于心脏瓣膜声音诊断系统而言,找到合适的心音图谱分析方法很重要。到目前为止,已经使用了诸如傅立叶变换或自回归频谱估计技术之类的常规频率分析来估计心电图的频谱分量,但是由于假定信号频率在变换间隔内保持恒定,因此它们是不合适的。为了克服这个问题,在本研究中,使用FOS(快速正交搜索)

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