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The Effect of Signal Quality on Six Cardiac Output Estimators

机译:信号质量对六个心输出估计的影响

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The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the MIMIC II database. Thermodilution CO (TCO) was the gold standard. A total of 121 records with 1,497 TCO measurements were used. Six lumped-parameter and systolic area CO estimators were tested, using ABP features and a robust heart rate (HR) estimate. Signal quality indices for ABP and HR were calculated using previously described metrics. For retrospective analysis, results showed that the Liljestrand method yielded the lowest error for all levels of signal quality. Increasing signal quality decreased error and only marginally reduced the amount of available data, as a signal quality level of 90% preserved sufficient data for almost continuous CO estimation. At the recommended signal quality thresholds, the lowest gross root mean square normalized error (RMSNE) was found to be 15.4% (or 0.74 L/min) and average RMSNE was 13.7% (0.71 L/min).
机译:使用来自模拟II数据库的数据评估信号质量对动脉血压(ABP)的心输出(CO)估计的精度的影响。 Thermoduitution Co(TCO)是金标准。共使用121条带有1,497次TCO测量的记录。使用ABP特征和强大的心率(HR)估计来测试六个集合参数和收缩系区域CO估算。使用先前描述的指标计算ABP和HR的信号质量索引。对于回顾性分析,结果表明Liljestrand方法产生了所有级别的信号质量误差。增加信号质量降低误差,并且只有略微降低可用数据的量,作为90%的信号质量水平保留了几乎连续CO估计的足够数据。在推荐的信号质量阈值下,发现最低的根均线规范化误差(RMSNE)为15.4%(或0.74L / min),平均rmsne为13.7%(0.71L / min)。

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