首页> 外国专利> Cardiac monitoring device, wearable defibrillator and method therefor for distinguishing cardiac events from noise in an electrocardiogram (ECG) signal

Cardiac monitoring device, wearable defibrillator and method therefor for distinguishing cardiac events from noise in an electrocardiogram (ECG) signal

机译:心脏监测装置,可穿戴的除纤颤器及其方法,用于将心脏事件与心电图(ECG)信号中的噪声区分开

摘要

A cardiac monitoring device includes: at least one sensing electrode for obtaining an electrocardiogram (ECG) signal from a patient; a processing unit comprising at least one processor operatively coupled to the at least one sensing electrode; and at least one non-transitory computer-readable medium comprising program instructions that, when executed by the at least one processor, causes the cardiac monitoring device to: obtain the ECG signal from the at least one sensing electrode; determine a transformed ECG signal based on the ECG signal; extract at least one value representing at least one feature of the transformed ECG signal; provide the at least one value to determine a score associated with the ECG signal, thereby providing an ECG-derived score; compare the ECG-derived score to a predetermined threshold score determined by machine learning; and provide an indication of a cardiac event if the ECG-derived score is one of above or below the predetermined threshold score determined by the machine learning.
机译:一种心脏监测装置,包括:至少一个感测电极,用于从患者获得心电图(ECG)信号;以及一种处理单元,包括至少一个可操作地耦合到所述至少一个感测电极的处理器;至少一种非暂时性计算机可读介质,其包括程序指令,当所述程序指令由所述至少一个处理器执行时,所述程序指令使所述心脏监护装置:根据所述心电信号确定变换后的心电信号;提取至少一个表示转换后的ECG信号的至少一个特征的值;提供至少一个值以确定与ECG信号相关联的分数,从而提供源自ECG的分数;将ECG得出的分数与机器学习确定的预定阈值分数进行比较;并且如果ECG派生的分数高于或低于机器学习确定的预定阈值分数之一,则提供心脏事件的指示。

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