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首页> 外文期刊>Journal of mechanics in medicine and biology >ANALYSIS OF CAROTID ARTERIAL DOPPLERSIGNALS USING STFT AND WIGNER-VILLEDISTRIBUTION (WVD)
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ANALYSIS OF CAROTID ARTERIAL DOPPLERSIGNALS USING STFT AND WIGNER-VILLEDISTRIBUTION (WVD)

机译:使用STFT和WIGNER-VILLE分布(WVD)分析颈动脉多普勒信号

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The study presented in this paper is concerned with the analysis of the ultrasound Doppler signal of the carotid arteries in the time-frequency domain using the short time Fourier transform (STFT) and the Wigner-Ville distribution (WVD). This study is carried out in order to investigate the behavior of the spectral broadening index (SBI) derived from spectra obtained using these methods. The variations in the shape of the Doppler power spectra as a function of time are presented in the form of sonograms in order to determine the degree of primitive carotid artery stenosis. The obtained results show a qualitative improvement in the appearance of the sonograms generated using the WVD over the STFT. However, despite this qualitative improvement the WVD suffers from some drawbacks: the presence of the cross terms which are primarily due to its quadratic nature. The application of the Choi-Williams distribution (CWD) in this analysis shows a noticeable reduction of these cross terms, improving therefore thequality of the sonograms. From these generated sonograms, the ultrasound frequency envelopes are extracted. The maximum and the mean frequencies in these envelopes are used to determine the SBI. The magnitude of the GWD-SBI is significantly greater than that of the STFT-SBI. In addition, there is a correlation between the SBIs obtained using the STFT and the CWD and the degree of severity of stenosis measured by 2D Doppler imaging.
机译:本文涉及的研究涉及使用短时傅立叶变换(STFT)和Wigner-Ville分布(WVD)在时频域内分析颈动脉超声多普勒信号。进行这项研究是为了研究从使用这些方法获得的光谱得出的光谱加宽指数(SBI)的行为。多普勒功率谱的形状随时间的变化以超声图的形式呈现,以确定原始颈动脉狭窄的程度。获得的结果表明,使用WVD在STFT上生成的超声图在质量上得到了改善。但是,尽管在质量上有所改进,但WVD仍存在一些缺点:交叉项的存在主要是由于其二次性质。 Choi-Williams分布(CWD)在此分析中的应用显示出这些交叉项的明显减少,因此提高了超声图的质量。从这些生成的超声图中,提取超声频率包络。这些包络中的最大频率和平均频率用于确定SBI。 GWD-SBI的幅度明显大于STFT-SBI的幅度。此外,在使用STFT和CWD获得的SBI与通过2D多普勒成像测量的狭窄严重程度之间存在相关性。

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