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Feature selection for cardiac arrhythmia classification and screening

机译:心律失常分类和筛查的特征选择

摘要

A method of measuring biological signals of a person including obtaining physiological signals; converting the physiological signals to an energy entropy signal, determining one or more statistical features based on the energy entropy signal, and selecting and combining two or more of the features. The features include two or more of: Shannon entropy of power spectral density (PSD) of energy entropy; minimum envelopes of three axis signals; minimum Shannon entropy of PSD of three axis entropies; standard deviation of interbeat intervals (IBIs); differences of median filtered IBIs; determinism of recurrence plot of energy entropy; Kurtosis of energy entropy; minimum peak-to-peak amplitude three axis signals; peak-to-peak amplitude of energy entropy; laminarity of recurrence plot of energy entropy; Shannon entropy of horizontal structures in recurrence plot of energy entropy; standard deviation of time-averaged spectrogram; minimum standard deviation of peak positions in spectrogram; and minimum standard deviation of peak widths in spectrogram.
机译:一种测量人的生物信号的方法,包括获得生理信号;将生理信号转换为能量熵信号,基于能量熵信号确定一个或多个统计特征,并选择和组合两个或多个特征。其特征包括两个或两个以上:能量熵的功率谱密度(PSD)的香农熵;三轴信号的最小包络;三轴熵PSD的最小香农熵;层间间隔的标准偏差(IBIs);中值滤波IBI的差异;能量熵递推图的确定性;能量熵峰度;最小峰间振幅三轴信号;能量熵的峰间振幅;能量熵递推图的层流性;能量熵递推图中水平结构的香农熵;时间平均谱图的标准偏差;光谱图中峰位的最小标准偏差;谱图中峰宽的最小标准偏差。

著录项

  • 公开/公告号US11311201B2

    专利类型

  • 公开/公告日2022-04-26

    原文格式PDF

  • 申请/专利权人 SAMSUNG ELECTRONICS CO. LTD.;

    申请/专利号US201916672176

  • 发明设计人 YELEI LI;XIN SUI;

    申请日2019-11-01

  • 分类号A61B5/024;G16H50/20;A61B5;A61B5/316;A61B5/363;

  • 国家 US

  • 入库时间 2022-08-25 00:45:23

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