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Method and apparatus for screening electrocardiographic (ECG) data

机译:用于筛选心电图(ECG)数据的方法和设备

摘要

A time saving automatic screening system for detection, measurement, analysis and plotting of electrocardiographic (ECG) signals employing arrhythmia analysis programs on long term ambulatory (Holter) recordings to assess the ECG signals and categorize the recorded data as either artifact, ventricular ectopic, superventricular ectopic, unknown or normal and to calculate a level of confidence that the category as chosen is a correct assessment. A system is disclosed that thresholds the occurrences of each category as well as the level of confidence to determine if significant abnormalities have occurred in the recording process, the hearts arrhythmia, or the heartbeat morphology. The method and apparatus disclosed make it possible to identify and screen out entire long term (Holter) ECG recordings containing no significant abnormalities in the hearts arrhythmia or the beat morphology. Thus, the cost of Holter scanning is greatly reduced by reserving for manual scanning only those recordings that contain significant abnormalities in the hearts arrhythmia or the beat morphology.
机译:一种节省时间的自动筛选系统,用于对心电图(ECG)信号进行检测,测量,分析和绘图,该方法使用心律失常分析程序对长期动态(Holter)记录进行评估,以评估ECG信号并将记录的数据分类为伪影,心室异位,心室上皮异位,未知或正常,并计算所选类别为正确评估的置信度。公开了一种系统,其对每个类别的发生以及置信度进行阈值确定在记录过程,心脏心律不齐或心跳形态中是否发生了明显的异常。所公开的方法和设备使得有可能识别和筛选出在心律不齐或搏动形态上不包含明显异常的整个长期(Holter)ECG记录。因此,通过仅保留那些在心律不齐或搏动形态上有明显异常的记录进行手动扫描,可以大大降低动态心电图的扫描成本。

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