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Temporal correction of detected R-peaks in ECG signals: A crucial step to improve QRS detection algorithms

机译:对心电图信号中检测到的R峰进行时间校正:改进QRS检测算法的关键步骤

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In the last decade the interest for heart rate variability analysis has increased tremendously. Related algorithms depend on accurate temporal localization of the heartbeat, e.g. the R-peak in electrocardiogram signals, especially in the presence of arrhythmia. This localization can be delivered by numerous solutions found in the literature which all lack an exact specification of their temporal precision. We implemented three different state-of-the-art algorithms and evaluated the precision of their R-peak localization. We suggest a method to estimate the overall R-peak temporal inaccuracy-dubbed beat slackness-of QRS detectors with respect to normal and abnormal beats. We also propose a simple algorithm that can complement existing detectors to reduce this slackness. Furthermore we define improvements to one of the three detectors allowing it to be used in real-time on mobile devices or embedded hardware. Across the entire MIT-BIH Arrhythmia Database, the average slackness of all the tested algorithms was 9ms for normal beats and 13ms for abnormal beats. Using our complementing algorithm this could be reduced to 4ms for normal beats and to 7ms for abnormal beats. The presented methods can be used to significantly improve the precision of R-peak detection and provide an additional measurement for QRS detector performance.
机译:在过去的十年中,对心率变异性分析的兴趣大大增加。相关的算法取决于心跳的准确的时间定位,例如心电图信号中的R峰,尤其是在心律不齐的情况下。可以通过文献中找到的许多解决方案来实现这种定位,这些解决方案都缺乏对其时间精度的精确说明。我们实施了三种不同的最新算法,并评估了其R峰定位的精度。我们建议一种方法来估计相对于正常和异常搏动的QRS检测器的总体R峰时间不准确度配音的搏动松弛。我们还提出了一种简单的算法,可以补充现有的检测器以减少这种松弛。此外,我们定义了对三个检测器之一的改进,使其可以在移动设备或嵌入式硬件上实时使用。在整个MIT-BIH心律失常数据库中,所有测试算法的平均松弛时间对于正常心律为9ms,对于异常心律为13ms。使用我们的补充算法,对于正常拍子,可以将其减少到4毫秒;对于异常拍子,可以将其减少到7毫秒。提出的方法可用于显着提高R峰检测的精度,并为QRS检测器性能提供额外的测量。

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