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STFT or CWT for the detection of Doppler ultrasound embolic signals

机译:STFT或CWT用于检测多普勒超声栓塞信号

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Aiming reliable detection and localization of cerebral blood flow and emboli, embolic signals were added to simulated middle cerebral artery Doppler signals and analysed. Short-time Fourier transform (STFT) and continuous wavelet transform (CWT) were used in the evaluation. The following parameters were used in this study: the powers of the embolic signals added were 5, 6, 6.5, 7, 7.5, 8 and 9 dB; the mother wavelets for CWT analysis were Morlet, Mexican hat, Meyer, Gaussian (order 4) and Daubechies (orders 4 and 8); and the thresholds for detection (equated in terms of false positive, false negative and sensitivity) were 2 and 3.5 dB for the CWT and STFT, respectively. The results indicate that although the STFT allows accurately detecting emboli, better time localization can be achieved with the CWT. Among the CWT, the current best overall results were obtained with Mexican Hat mother wavelet, with optimal results for sensitivity (100% detection rate) for nearly all emboli power values studied.
机译:为了可靠地检测和定位脑血流和栓子,将栓子信号添加到模拟的大脑中动脉多普勒信号中并进行分析。在评估中使用了短时傅立叶变换(STFT)和连续小波变换(CWT)。在这项研究中使用了以下参数:添加的栓塞信号的功率为5、6、6.5、7、7.5、8和9 dB;用于CWT分析的母小波为Morlet,墨西哥帽,Meyer,Gaussian(4阶)和Daubechies(4和8阶); CWT和STFT的检测阈值(分别为假阳性,假阴性和灵敏度)分别为2和3.5 dB。结果表明,尽管STFT可以准确检测栓子,但CWT可以实现更好的时间定位。在CWT中,当前最佳的总体结果是通过墨西哥帽母小波获得的,对于几乎所有研究的栓塞功效值,灵敏度(100%检出率)均达到最佳结果。

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