Ubeyli Elif Derya, Güler Inan
Department of Electronics and Computer Education, Faculty of Technical Education, Gazi University, 06500 Teknikokullar, Ankara, Turkey.
Comput Biol Med. 2004 Jun;34(4):345-54. doi: 10.1016/S0010-4825(03)00093-3.
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.
在本研究中,短时傅里叶变换(STFT)和小波变换(WT)被用于眼科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声谱图的形式呈现,以便获取医学信息。然后,这些声谱图被用于比较所应用的方法在频率分辨率以及存在眼科动脉狭窄时确定频谱展宽方面的效果。使用WT获得的声谱图在外观上相较于STFT有明显的定性改善。尽管单个声谱图有定性改善,但由于基于小波变换的频谱展宽指数方差较差以及小波变换的额外计算需求,在使用WT而非STFT确定频谱展宽指数方面未获得定量优势。