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Detection of Mechanical Prosthetic Heart Valve Dysfunction Using Spectrum Estimation and Time-Scale Techniques

机译:使用频谱估计和时标技术检测机械人工心脏瓣膜功能障碍

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The diagnostic features in recorded heart sounds with mechanical prosthetic heart valves (either mitral or aortic heart valve) were investigated by using spectral estimation and Discrete Wavelet Transform (DWT) techniques. Results showed that for patients with mechanical prosthetic heart valve, it is possible to identify the normal patients, the perivalvular leakage patients and the valve obstruction patients via combined spectral and time-scale features, and experiments also demonstrated that neither spectral feature nor time-scale feature separately could solve the identification problem.
机译:通过使用频谱估计和离散小波变换(DWT)技术研究了机械人工心脏瓣膜(二尖瓣或主动脉心脏瓣膜)记录的心音中的诊断特征。结果表明,对于机械性人工心脏瓣膜患者,可以通过频谱和时间尺度特征的组合来识别正常患者,牙周渗漏患者和瓣膜阻塞的患者,并且实验还表明,频谱特征和时间尺度都没有单独使用功能可以解决识别问题。

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