DISCRIMINATING BETWEEN TACHYCARDIAS OF VENTRICULAR ORIGIN AND SUPRA ENTRICULAR ORIGIN, METHODS AND APPARATUS
    1.
    发明申请
    DISCRIMINATING BETWEEN TACHYCARDIAS OF VENTRICULAR ORIGIN AND SUPRA ENTRICULAR ORIGIN, METHODS AND APPARATUS 有权
    鉴别静脉原始EN EN EN EN AND AND AND US US US US US US US US US US US US US US US US US US US US US US

    公开(公告)号:US20100249626A1

    公开(公告)日:2010-09-30

    申请号:US12412808

    申请日:2009-03-27

    IPC分类号: A61B5/0464

    摘要: An active medical device able to discriminate between tachycardias of ventricular origin and of supra-ventricular origin. Two distinct temporal components (UnipV, BipV) are obtained corresponding to two EGM signals of ventricular electrograms. The diagnosis operates in at least two-dimensional space to determine, from the variations of one temporal component as a function of the other temporal component, a 2D characteristic representative of a heart beat and, this, for a reference beat collected in Sinus Rhythm (SR) in the absence of tachycardia episodes, and for a heart beat in Tachycardia. The discrimination of the tachycardia type, VT or SVT, is then realized by a classifier operating a comparison of the two current and reference 2D characteristics.

    摘要翻译: 一种能够区分心室起搏的心动过速和超心室起源的活跃的医疗装置。 对应于心室电图的两个EGM信号获得两个不同的时间分量(UnipV,BipV)。 诊断操作在至少二维空间中,以从作为另一个时间分量的函数的一个时间分量的变化确定代表心跳的2D特征,并且对于在窦性节律中收集的参考节拍( SR),无心动过速,心动过速时心跳。 然后通过操作两个电流和参考2D特征的比较的分类器来实现对心动过速类型VT或SVT的区分。

    SIGNAL AVERAGING
    6.
    发明申请
    SIGNAL AVERAGING 有权
    信号平均

    公开(公告)号:US20140067279A1

    公开(公告)日:2014-03-06

    申请号:US14115235

    申请日:2012-05-04

    IPC分类号: A61B5/00

    摘要: A method (500) can comprise performing principal component analysis (PCA) on data corresponding to a subset of a plurality of signals and a selected template to generate a virtual lead and an optimized template (530). The method can also comprise calculating a cross correlation on the virtual lead and the optimized template to determine a strength of linear dependence between the virtual lead and the optimized template to determine regions of interest (ROIs) of the virtual lead (540). The method can further comprise detecting peak correlation coefficients in the virtual lead (550). The method can still further comprise comparing the amplitude of each of the ROIs of the virtual lead with the selected template to determine an error between the template and each ROI of the virtual lead (560). The method can yet further comprise averaging the ROIs to generate averaged data (570).

    摘要翻译: 方法(500)可以包括对与多个信号的子集对应的数据和所选择的模板执行主成分分析(PCA),以生成虚拟引导和优化的模板(530)。 该方法还可以包括计算虚拟引线和优化模板上的互相关,以确定虚拟引线和优化模板之间的线性依赖性的强度,以确定虚拟引线(540)的感兴趣区域(ROI)。 该方法还可以包括检测虚拟引线中的峰值相关系数(550)。 该方法还可以包括将虚拟引线的每个ROI的幅度与所选择的模板进行比较,以确定模板与虚拟引线的每个ROI之间的误差(560)。 该方法还可以包括平均ROI以产生平均数据(570)。

    Device for analysis of a signal, in particular a physiological signal such as an ECG signal
    7.
    发明授权
    Device for analysis of a signal, in particular a physiological signal such as an ECG signal 失效
    用于分析信号的装置,特别是诸如ECG信号的生理信号

    公开(公告)号:US07359749B2

    公开(公告)日:2008-04-15

    申请号:US10712976

    申请日:2003-11-13

    IPC分类号: A61B5/04

    摘要: A device for analyzing a physiological signal, such as an electrocardiogram or electrogram, that was previously collected, filtered, sampled and digitized. The device memorizes the digitized signal and analyzes it by decomposing the signal into a plurality of N parameterized bump functions, where each bump function is a continuous function defined by three successive intervals, respectively, a first monotonic parameterized function, an affine function, and a second monotonic parameterized function, with one of the monotonic parameterized functions being increasing and the other decreasing. The parameterized functions are preferably half-Gaussian functions, and the affine function preferably has a null slope. Each N bump function is classified by recognizing at least one parameter characteristic of each wave, and allotting a standardized label, selected among a plurality of predetermined labels, according to one or to more of the characteristic parameters thus recognized.

    摘要翻译: 用于分析先前收集,过滤,采样和数字化的生理信号(例如心电图或电描记图)的装置。 该设备存储数字化信号并通过将信号分解为多个N个参数化凸块函数来分析数字化信号,其中每个凸起函数是由三个连续间隔分别定义的连续函数,第一单调参数化函数,仿射函数和 第二单调参数化函数,其中一个单调参数化函数增加,另一个递减。 参数化函数优选为半高斯函数,并且仿射函数优选地具有零斜率。 通过根据所识别的一个或多个特征参数识别每个波的至少一个参数特征并分配从多个预定标签中选择的标准化标签来对每个N凸起函数进行分类。

    Signal averaging
    9.
    发明授权
    Signal averaging 有权
    信号平均

    公开(公告)号:US09504427B2

    公开(公告)日:2016-11-29

    申请号:US14115235

    申请日:2012-05-04

    摘要: A method (500) can comprise performing principal component analysis (PCA) on data corresponding to a subset of a plurality of signals and a selected template to generate a virtual lead and an optimized template (530). The method can also comprise calculating a cross correlation on the virtual lead and the optimized template to determine a strength of linear dependence between the virtual lead and the optimized template to determine regions of interest (ROIs) of the virtual lead (540). The method can further comprise detecting peak correlation coefficients in the virtual lead (550). The method can still further comprise comparing the amplitude of each of the ROIs of the virtual lead with the selected template to determine an error between the template and each ROI of the virtual lead (560). The method can yet further comprise averaging the ROIs to generate averaged data (570).

    摘要翻译: 方法(500)可以包括对与多个信号的子集对应的数据和所选择的模板执行主成分分析(PCA),以生成虚拟引导和优化的模板(530)。 该方法还可以包括计算虚拟引线和优化模板上的互相关,以确定虚拟引线和优化模板之间的线性依赖性的强度,以确定虚拟引线(540)的感兴趣区域(ROI)。 该方法还可以包括检测虚拟引线中的峰值相关系数(550)。 该方法还可以包括将虚拟引线的每个ROI的幅度与所选择的模板进行比较,以确定模板与虚拟引线的每个ROI之间的误差(560)。 该方法还可以包括平均ROI以产生平均数据(570)。