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Spectral broadening of ophthalmic arterial Doppler signals using STFT and wavelet transform.

机译:使用STFT和小波变换对眼动脉多普勒信号进行频谱加宽。

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In this study, short-time Fourier transform (STFT) and wavelet transform (WT) were used for spectral analysis of ophthalmic arterial Doppler signals. Using these spectral analysis methods, the variations in the shape of the Doppler spectra as a function of time were presented in the form of sonograms in order to obtain medical information. These sonograms were then used to compare the applied methods in terms of their frequency resolution and the effects in determination of spectral broadening in the presence of ophthalmic artery stenosis. A qualitative improvement in the appearance of the sonograms obtained using the WT over the STFT was noticeable. Despite the qualitative improvement in the individual sonograms, no quantitative advantage in using the WT over the STFT for the determination of spectral broadening index was obtained due to the poorer variance of the wavelet transform-based spectral broadening index and the additional computational requirements of the wavelet transform.
机译:在这项研究中,短时傅立叶变换(STFT)和小波变换(WT)被用于眼动脉多普勒信号的频谱分析。使用这些频谱分析方法,多普勒频谱形状随时间的变化以超声图的形式呈现,以获得医学信息。然后将这些超声图用于比较所用方法的频率分辨率以及在存在眼动脉狭窄的情况下确定光谱展宽的效果。使用WT在STFT上获得的超声图的外观在质量上得到了明显改善。尽管各个超声图在质量上有所改善,但由于基于小波变换的谱展宽指数的方差较差,并且小波的附加计算要求,使用WT优于STFT来确定谱展宽指数没有获得定量优势。转变。

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