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FFT Techniques for the Spectral Analysis of Prosthetic Heart Valve Sounds

机译:人工心脏瓣膜声音频谱分析的FFT技术

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摘要

Sounds produced by prosthetic heart valves are known to contain diagnostic information regarding the structural and functional integrity of their components. Analog techniques for processing prosthetic valve phonocardiograms have met with limited success in extracting this information, because of their poor spectral resolution and lack of versatility. Numerical methods of signal processing overcome most of these limitations, but the need for a computer to implement numerical methods raises the question of cost-effectiveness in many applications. Numerical analysis of prosthetic valve signals has therefore received very little attention outside the academic and laboratory context. Cost reductions in computer hardware arising from the use of micro-processors, make it possible to envisage dedicated clinical instruments for processing prosthetic valve sounds in view of assessing overall valve performance and detecting component degradation at an early stage. Basic spectral considerations for the design of such instruments are discusses in this paper.
机译:已知由人工心脏瓣膜产生的声音包含有关其组件的结构和功能完整性的诊断信息。由于其较差的频谱分辨率和缺乏通用性,处理人工瓣膜心电图的模拟技术在提取此信息方面取得了有限的成功。信号处理的数值方法克服了大多数这些局限性,但是对计算机实施数值方法的需求提出了许多应用中成本效益的问题。因此,在学术和实验室环境之外,人工瓣膜信号的数值分析很少受到关注。考虑到评估总体瓣膜性能并在早期检测出组件退化,使用微处理器导致计算机硬件成本的降低,可以设想出用于处理人工瓣膜声音的专用临床器械。本文讨论了此类仪器设计的基本光谱注意事项。

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