信号质量对6种心输出量估计器的影响。

Computers in cardiology Pub Date : 2009-01-01
T Chen, Gd Clifford, Rg Mark
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引用次数: 0

摘要

使用MIMIC II数据库的数据评估信号质量对从动脉血压(ABP)估计心输出量(CO)准确性的影响。热稀释CO (TCO)是黄金标准。总共使用了121条记录和1497个TCO测量值。使用ABP特征和鲁棒心率(HR)估计,测试了六个集总参数和收缩面积CO估计器。ABP和HR的信号质量指数使用先前描述的指标计算。回顾性分析结果表明,Liljestrand方法对所有级别的信号质量产生的误差最低。提高信号质量降低了误差,只略微减少了可用数据量,因为90%的信号质量水平为几乎连续的CO估计保留了足够的数据。在推荐的信号质量阈值下,发现最低的总均方根归一化误差(RMSNE)为15.4%(或0.74 L/min),平均RMSNE为13.7% (0.71 L/min)。
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The Effect of Signal Quality on Six Cardiac Output Estimators.

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).

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