Wavelet modeling paradigms for cardiovascular physiological signal interpretation
    1.
    发明授权
    Wavelet modeling paradigms for cardiovascular physiological signal interpretation 失效
    心血管生理信号解释的小波模型范例

    公开(公告)号:US08595164B2

    公开(公告)日:2013-11-26

    申请号:US13014791

    申请日:2011-01-27

    IPC分类号: G06E3/00 G06E1/00

    摘要: Described herein is a method of processing a cardiovascular physiological signal, comprising: decomposing the cardiovascular physiological signal into a first plurality of wavelet coefficients using a wavelet transform; selecting a second plurality of wavelet coefficients from the first plurality of wavelet coefficients, the second plurality being a subset of the first plurality; classifying or clustering the cardiovascular physiological signal into one of a plurality of predetermined classes based on the second plurality of wavelet coefficients using an artificial neural network.

    摘要翻译: 本文描述了一种处理心血管生理信号的方法,包括:使用小波变换将心血管生理信号分解成第一多个小波系数; 从所述第一多个小波系数中选择第二多个小波系数,所述第二多个小波系数是所述第一多个小波系数的子集; 基于使用人造神经网络的第二多个小波系数,将心血管生理信号分类或聚类成多个预定类别之一。

    NOVEL WAVELET MODELING PARADIGMS FOR CARDIOVASCULAR PHYSIOLOGICAL SIGNAL INTERPRETATION
    2.
    发明申请
    NOVEL WAVELET MODELING PARADIGMS FOR CARDIOVASCULAR PHYSIOLOGICAL SIGNAL INTERPRETATION 失效
    心脏血管生理信号解释的新型小波变换模型

    公开(公告)号:US20120197831A1

    公开(公告)日:2012-08-02

    申请号:US13014791

    申请日:2011-01-27

    IPC分类号: G06N3/02

    摘要: Described herein is a method of processing a cardiovascular physiological signal, comprising: decomposing the cardiovascular physiological signal into a first plurality of wavelet coefficients using a wavelet transform; selecting a second plurality of wavelet coefficients from the first plurality of wavelet coefficients, the second plurality being a subset of the first plurality; classifying or clustering the cardiovascular physiological signal into one of a plurality of predetermined classes based on the second plurality of wavelet coefficients using an artificial neural network.

    摘要翻译: 本文描述了一种处理心血管生理信号的方法,包括:使用小波变换将心血管生理信号分解成第一多个小波系数; 从所述第一多个小波系数中选择第二多个小波系数,所述第二多个小波系数是所述第一多个小波系数的子集; 基于使用人造神经网络的第二多个小波系数,将心血管生理信号分类或聚类成多个预定类别之一。