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Impact of arrhythmias on heart rate variability-strategies to deal with imperfect clinical data

机译:心律失常对心率变异性策略的影响以应对不完善的临床数据

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By introducing differing degrees and quality of ectopic beats into clinical data files, the considerable impact of arrhythmias on heart rate variability is demonstrated. Arrhythmias can be removed by either of three approaches proposed, each having variable fidelity with respect to restoring time and frequency domain indices of heart rate variability. Methods devised for the correction of the RR-interval time series substitute the ectopy associated RR-intervals by either a constant RR-interval, identical to the last normal value prior to the ectopic beat (Method I), by the mean value of the total sum of ectopy-associated RR-intervals (Method II) or by values generated by cubic splining and interpolation over the duration of the arrhythmia (Method III). It is shown that splining with interpolation is the overall best technique of overcoming undesired segments in data files with complex arrhythmias. The other techniques, however, have their own merits, particularly when only little ectopy is present.
机译:通过在临床数据文件中引入不同程度和质量的异位搏动,证明了心律不齐对心率变异性的巨大影响。心律失常可以通过提出的三种方法中的任何一种来消除,每种方法在恢复心率变异性的时域和频域指标方面具有可变的保真度。为校正RR间隔时间序列而设计的方法用与异位搏动之前的最后一个正常值相同的恒定RR间隔替换了与ectopy相关的RR间隔(方法I),用总和的平均值代替与心律失常相关的RR间隔之和(方法II),或在心律不齐的持续时间内通过三次样条和插值生成的值(方法III)。结果表明,使用插值进行样条化是克服复杂心律不齐的数据文件中不需要的段的整体最佳技术。但是,其他技术各有千秋,特别是在只有很少的异位的情况下。

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