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首页> 外文期刊>Expert Systems with Application >Classification of aorta Doppler signals using variable coded-hierarchical
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Classification of aorta Doppler signals using variable coded-hierarchical

机译：使用可变编码分层对主动脉多普勒信号进行分类

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摘要

In this study, Doppler signals, recorded from the output of aorta valve of 80 patients, were transferred to personal computer via 16 bit sound card. The fast Fourier transform (FFT) method was applied to the recorded signal from each patient. Since FFT method inherently cannot offer a good spectral resolution at highly turbulent blood flows, it sometimes causes wrong interpretation of cardiac Doppler signals. In order to avoid this problem, two known diseased heart signals such as aorta stenosis and aorta insufficiency were introduced to two different genetic fuzzy systems. The disadvantages arise from these two different genetic fuzzy systems were eliminated by using the new genetic fuzzy system which is proposed in this study. The proposed genetic fuzzy system is called as variable coded-hierarchical genetic fuzzy system. As a result, it is shown that the proposed system decreases the computational time since it uses less genes.
机译：在这项研究中，从80位患者的主动脉瓣输出中记录的多普勒信号通过16位声卡传输到个人计算机。快速傅里叶变换（FFT）方法应用于来自每个患者的记录信号。由于FFT方法固有地无法在高度湍流的血流中提供良好的频谱分辨率，因此有时会引起对心脏多普勒信号的错误解释。为了避免该问题，将两种已知的患病心脏信号（例如主动脉瓣狭窄和主动脉瓣关闭不全）引入到两个不同的遗传模糊系统中。通过使用本研究提出的新的遗传模糊系统，消除了这两种不同的遗传模糊系统所产生的缺点。所提出的遗传模糊系统称为可变编码分层遗传模糊系统。结果表明，由于该系统使用较少的基因，因此减少了计算时间。

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