Detection and monitoring of atrial fibrillation
    1.
    发明授权
    Detection and monitoring of atrial fibrillation 有权
    心房颤动的检测和监测

    公开(公告)号:US09408576B2

    公开(公告)日:2016-08-09

    申请号:US14267177

    申请日:2014-05-01

    Abstract: Enhanced real-time realizable AF algorithm for accurate detection of, and discrimination between, NSR, AF, PVC, and PAC. The method of these teachings includes an AF detection method having a modified Poincare approach in order to differentiate various patterns of PAC and PVC from NSR and AF. The method of these teachings can also apply to the Kullback-Leibler divergence or the Turning Point Ratio (TPR) to differentiate between various patterns of PAC and PVC from NSR and AF.

    Abstract translation: 增强型实时可实现AF算法,用于NSR,AF,PVC和PAC的精确检测和辨别。 这些教导的方法包括具有修改的庞加莱方法的AF检测方法,以便将PAC和PVC的各种图案与NSR和AF区分开。 这些教导的方法也可以应用于Kullback-Leibler发散度或转折点比(TPR),以区分不同类型的PAC和PVC与NSR和AF。

    Detection and monitoring of atrial fibrillation

    公开(公告)号:US10285601B2

    公开(公告)日:2019-05-14

    申请号:US15985912

    申请日:2018-05-22

    Abstract: A real-time arrhythmia discrimination method is used in smartphones, which can discriminate between NSR, AF, PACs and PVCs using pulsatile time series collected from a smartphone's camera. To increase the sensitivity of AF detection and add the new capabilities of PVC and PAC identification, the arrhythmia discrimination method of these teachings combines Root Mean Square of Successive RR Differences (RMSSD), Shannon Entropy (ShE) and turning point ratio (TPR), with the Poincare plot, and utilizes the features of pulse rise/fall time and amplitude for arrhythmia discrimination.

    DETECTION AND MONITORING OF ATRIAL FIBRILLATION

    公开(公告)号:US20180271389A1

    公开(公告)日:2018-09-27

    申请号:US15985912

    申请日:2018-05-22

    CPC classification number: A61B5/02405 A61B5/0464 A61B5/6898 A61B5/7282

    Abstract: A real-time arrhythmia discrimination method is used in smartphones, which can discriminate between NSR, AF, PACs and PVCs using pulsatile time series collected from a smartphone's camera. To increase the sensitivity of AF detection and add the new capabilities of PVC and PAC identification, the arrhythmia discrimination method of these teachings combines Root Mean Square of Successive RR Differences (RMSSD), Shannon Entropy (ShE) and turning point ratio (TPR), with the Poincare plot, and utilizes the features of pulse rise/fall time and amplitude for arrhythmia discrimination.

    Detection and monitoring of atrial fibrillation

    公开(公告)号:US09986921B2

    公开(公告)日:2018-06-05

    申请号:US14702601

    申请日:2015-05-01

    CPC classification number: A61B5/02405 A61B5/0464 A61B5/6898 A61B5/7282

    Abstract: A real-time arrhythmia discrimination method is used in smartphones, which can discriminate between NSR, AF, PACs and PVCs using pulsatile time series collected from a smartphone's camera. To increase the sensitivity of AF detection and add the new capabilities of PVC and PAC identification, the arrhythmia discrimination method of these teachings combines Root Mean Square of Successive RR Differences (RMSSD), Shannon Entropy (ShE) and turning point ratio (TPR), with the Poincare plot, and utilizes the features of pulse rise/fall time and amplitude for arrhythmia discrimination.

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