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False alarms during patient monitoring in clinical intensive care units are highly related to poor quality of the monitored electrocardiogram signals

机译:在临床重症监护室进行患者监护期间的虚假警报与所监测的心电图信号质量较差有关

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Electrocardiograms (ECGs) recorded from patients in intensive care were investigated to quantify any relationship between ECG signal quality and false monitoring alarms. False alarms are a considerable problem for nursing and medical staff as they distract from clinical care, and are also a problem for patients as they disturb rest, which is important for clinical recovery. ECG and alarm data were obtained for 750 patient alarms from the PhysioNet database. The final 8 s period before the alarm was triggered was investigated. All but one ECG channel in 38 ECG recordings with out-of-range data were associated with false positive alarms (p < 0.0001). The frequency contributions for baseline (BL) instability, electromyogram (EMG) muscle noise, and high frequency (HF) noise were calculated. For all three frequency bands, the contributions associated with false positive alarms were very significantly greater than for true positive alarms (p < 0.0001). The greatest difference was for BL with a mean level for false positive alarms 4.0 times greater than for true positive alarms, followed by EMG and HF at 1.6 times and 1.4 times respectively. These results confirm that attention needs to be taken to improve ECG signal quality to reduce the frequency of clinical false alarms, and hence improve conditions for clinical staff and patients.
机译:对从重症监护患者中记录的心电图(ECG)进行了研究,以量化ECG信号质量与虚假监视警报之间的任何关系。对于护理和医护人员来说,虚假警报是一个相当大的问题,因为它们分散了临床护理的注意力,而对于患者而言,由于他们干扰了休息,这也是一个问题,这对于临床康复很重要。从PhysioNet数据库获取了750例患者警报的ECG和警报数据。调查了触发警报之前的最后8 s时间。 38个心电图记录中超出范围的数据中,除一个心电图通道外,所有其他通道均与误报相关(p <0.0001)。计算了基线(BL)不稳定性,肌电图(EMG)肌肉噪声和高频(HF)噪声的频率贡献。在所有三个频段上,与误报有关的贡献都比对正报有关的贡献大得多(p <0.0001)。最大的差异是BL,假阳性警报的平均水平是真阳性警报的4.0倍,其次是EMG和HF,分别为1.6倍和1.4倍。这些结果表明,需要注意改善ECG信号质量,以减少临床虚假警报的频率,从而改善临床人员和患者的状况。

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