首页> 外国专利> ELECTROCARDIOGRAPHY SIGNAL WAVEFORM FEATURE POINT EXTRACTION METHOD AND DEVICE

ELECTROCARDIOGRAPHY SIGNAL WAVEFORM FEATURE POINT EXTRACTION METHOD AND DEVICE

机译:心电图信号波形特征点提取方法及装置

摘要

An electrocardiography signal waveform feature point extraction method, comprising QRS wave point, P wave point and T wave point position determination: processing an electrocardiography signal via a smooth wavelet transform (S2), determining a QRS wave embodiment optimal target layer and a T and P wave embodiment optimal target layer (S3), finding maximum value and minimum value pairs of the corresponding target layers (S4), removing maximum value and minimum value pairs which do not meet requirements (S5), performing error detection and miss detection on an R wave point position, obtaining a final R wave point position (S7), determining Q wave point and S wave point positions (S8), and determining P wave point and T wave point positions (S9). The QRS wave point, T wave point and P wave point position determination all use the smooth wavelet transform, and compared to a discrete wavelet transform, the smooth wavelet transform effectively avoids resolution damage during scale increasing without movement deformation, thereby effectively solving the problem in the prior art.
机译:一种心电信号波形特征点提取方法,包括QRS波点,P波点和T波点位置确定:通过平滑小波变换(S2)处理心电图信号,确定QRS波实施例的最佳目标层以及T和P波形实施例最佳目标层(S3),找到相应目标层的最大值和最小值对(S4),去除不满足要求的最大值和最小值对(S5),对R执行错误检测和遗漏检测波形点位置,获得最终的R波形点位置(S7),确定Q波形点和S波形点位置(S8),以及确定P波形点和T波形点位置(S9)。 QRS波点,T波点和P波点位置确定均使用平滑小波变换,与离散小波变换相比,平滑小波变换有效地避免了在比例缩放过程中没有运动变形的情况下分辨率的损害,从而有效地解决了问题。现有技术。

著录项

  • 公开/公告号WO2017148452A1

    专利类型

  • 公开/公告日2017-09-08

    原文格式PDF

  • 申请/专利权人 SHENZHEN IKINLOOP TECHNOLOGY CO. LTD;

    申请/专利号WO2017CN79425

  • 发明设计人 ZHENG HUIMIN;

    申请日2017-04-05

  • 分类号A61B5/0456;A61B5/0472;A61B5;

  • 国家 WO

  • 入库时间 2022-08-21 13:29:57

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