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    • 3. 发明申请
    • APPARATUS AND METHOD FOR ADAPTIVE TIME-FREQUENCY ANALYSIS
    • 自适应时频分析的装置和方法
    • US20120089372A1
    • 2012-04-12
    • US13242471
    • 2011-09-23
    • Sun-Hua PaoYio-Wha ShauChieh-Neng Young
    • Sun-Hua PaoYio-Wha ShauChieh-Neng Young
    • G06F19/00
    • G06F17/14
    • An apparatus and a method for adaptive adaptive time-frequency analysis are suitable for nonlinear and nonstationary signal analyses. The method includes the following steps. A plurality of positions of local extrema of a signal is determined. Average frequencies between the local extrema and mean energy distribution corresponding thereto are estimated according to the positions of the local extrema of the signal. The estimated instantaneous energy distribution of the signal is determined by way of optimization according to each of the mean energy distribution between the local extrema. Finally, an instantaneous frequency of the signal is estimated according to the estimated instantaneous energy distribution of the signal.
    • 自适应时频分析的装置和方法适用于非线性和非平稳信号分析。 该方法包括以下步骤。 确定信号的局部极值的多个位置。 根据信号的局部极值的位置来估计与其对应的局部极值和平均能量分布之间的平均频率。 通过根据局部极值之间的每个平均能量分布的优化来确定信号的估计瞬时能量分布。 最后,根据估计的信号瞬时能量分布来估计信号的瞬时频率。
    • 8. 发明授权
    • Quantitative non-invasive method for detecting degree of malignancy in tumors and application thereof
    • 用于检测肿瘤恶性程度的定量非侵入性方法及其应用
    • US08047993B2
    • 2011-11-01
    • US11099570
    • 2005-04-06
    • Yio-Wha ShauFon-Jou HsiehKing-Jen ChangSun-Hua PaoChiung-Nein Chen
    • Yio-Wha ShauFon-Jou HsiehKing-Jen ChangSun-Hua PaoChiung-Nein Chen
    • A61B5/05G06K9/00
    • A61B8/08A61B5/021A61B8/04
    • Disclosed is a method for detecting the degree of malignancy in tumors noninvasively, which comprises the steps of: using a Power Doppler ultrasound unit to scan a tumor and capture sequential color imagines in a complete heartbeat cycle, and choosing an area of interest (AREA_ROI) from the images; labeling pixels reflecting signals of bloodflow in the imagines during one heartbeat cycle to contour an area of tumor blood vessels (AREA_vessel); calculating a difference of PDVI between maximal systolic pressure and diastolic pressure during the heartbeat cycle to obtain tumor differential vascularity index (TDVI), in which PDVI is the ratio obtained by dividing pixels of AREA_vessel by a total area in the section of AREA_ROI; and determining the degree of malignancy by the TDVI. The method of the present invention can be applied to monitor the response of tumor to clinical treatment.
    • 公开了一种用于非侵入性地检测肿瘤恶性程度的方法,其包括以下步骤:使用功率多普勒超声单元扫描肿瘤并捕获完整心跳周期中的连续彩色想象,并选择感兴趣区域(AREA_ROI) 从图像; 标记在一个心跳周期中反映想象中血流信号的像素,以轮廓肿瘤血管的区域(AREA_vessel); 计算心跳周期内最大收缩压和舒张压之间的PDVI差异,以获得肿瘤差异血管指数(TDVI),其中PDVI是通过将AREA_vessel的像素除以AREA_ROI部分的总面积获得的比率; 并确定TDVI的恶性程度。 本发明的方法可用于监测肿瘤对临床治疗的反应。
    • 10. 发明申请
    • Signal Processing Method for Hierarchical Empirical Mode Decomposition and Apparatus Therefor
    • 用于分层经验模式分解的信号处理方法及其设备
    • US20100179974A1
    • 2010-07-15
    • US12684446
    • 2010-01-08
    • Sun-Hua PaoChien-Lun Tseng
    • Sun-Hua PaoChien-Lun Tseng
    • G06F17/14G06F17/10G06F7/00
    • G06F17/14
    • A signal processing method for performing hierarchical empirical mode decomposition (H-EMD) and an apparatus therefor are provided. In an embodiment, when empirical mode decomposition is performed on an input signal, an artificial assisting signal and the input signal are combined to assist the search for extrema and frequency reduction is performed in each iteration to eliminate the artificial assisting signal and make mode decomposition convergent so as to avoid mode mixing. In addition, in an embodiment, a hierarchical decomposition method is provided to decompose the input signal into a fewer number of fundamental modes. For needs in application, one of the fundamental modes can be further decomposed to produce a number of supplementary modes. In an embodiment, the H-EMD with appropriate frequency reduction can result in modes substantially independent of the form or the way of envelopes and can be applied to decompose multi-dimensional signals.
    • 提供一种用于执行分级经验模式分解(H-EMD)的信号处理方法及其装置。 在一个实施例中,当对输入信号执行经验模式分解时,组合人造辅助信号和输入信号以辅助搜索极值,并且在每次迭代中执行频率降低以消除人造辅助信号并使模式分解收敛 以避免模式混合。 此外,在一个实施例中,提供了一种分级分解方法来将输入信号分解成较少数量的基本模式。 对于应用需要,其中一种基本模式可以进一步分解,产生多种辅助模式。 在一个实施例中,具有适当频率降低的H-EMD可以导致基本上独立于包络的形式或方式的模式,并且可以应用于分解多维信号。