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Analysis and classification of heart sounds with mechanical prosthetic heart valves based on Hilbert-Huang transform.

机译:基于Hilbert-Huang变换的机械人工心脏瓣膜对心音的分析和分类。

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摘要

Auscultation is a widely used technique by cardiologists. In potentially deadly heart diseases, such as natural heart valve dysfunction or even heart failure, auscultation is one of the most reliable, cheap and successful techniques. However, the acoustic signals contain information that cannot be easily perceived and analyzed by the human ear. Signal processing and pattern recognition techniques thus could be introduced to tackle this problem.
机译:听诊是心脏病专家广泛使用的技术。在潜在的致命心脏病中,例如自然的心脏瓣膜功能失调,甚至是心力衰竭,听诊是最可靠,便宜和成功的技术之一。然而,声信号包含人耳不容易察觉和分析的信息。因此可以引入信号处理和模式识别技术来解决这个问题。

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