A robust approach toward recognizing valid arterial-blood-pressure pulses.
A robust approach toward recognizing valid arterial-blood-pressure pulses.
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DOI：
10.1109/titb.2009.2034845
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发表时间：
2010-01
期刊：
影响因子：
--
通讯作者：
Hu X
中科院分区：
文献类型：
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作者：
Asgari S;Bergsneider M;Hu X
为了避免后续处理中的伪影和噪声，提出了一种基于奇异值分解（SVD）的投影方法来验证动脉血压（ABP）信号。在加州大学洛杉矶分校医疗中心住院的51名患者中收集了567次有效的ABP心跳，并进行了投影。然后，我们将所提出的投影方法与先前开发的算法的性能进行了比较；信号异常指数；这是一种基于值和趋势的方法，在清除ABP波形方面已被证明是有效的。测试数据集由1336个10秒ABP片段（18472个ABP节拍）组成，有效和无效脉冲随机选择自多参数重症监护智能监测（MIMIC II）数据库。基于波形形状验证信号的投影方法获得了99.06%的真阳性率（TPR）；比SAI高5.43%；假阳性率（FPR）为7.69%；比SAI低17.38%。将一些基于SAI值的异常条件整合到基于SVD的方法的验证过程中，将FPR降低到3.92%，而TPR保持在99.05%的高比率，进一步提高了方法的性能。
We propose a projection method based on Singular Value Decomposition (SVD) to validate Arterial Blood Pressure (ABP) signal in order to avoid artifacts and noise in subsequent processing. The projection has been done on 567 validated ABP beats collected from 51 patients hospitalized in UCLA medical center. Then we compare the performance of the proposed projection method with that of a previously developed algorithm; Signal Abnormality Index (SAI); which is a value and trend based approach and has shown to be effective in cleaning the ABP waveforms. The testing dataset consists of 1336 ten-second ABP segments (18472 ABP beats) of both valid and invalid pulses selected randomly from Multi-Parameter Intelligent Monitoring for Intensive Care (MIMIC II) database. The proposed projection approach which validates the signal based on the shape of the waveform achieves a True Positive Rate (TPR) of 99.06%; 5.43% higher than that of the SAI; and a False Positive Rate (FPR) of 7.69%; 17.38% lower than that of SAI. Integration of some of the SAI value based abnormality conditions to the validation process of SVD based method can further improve the performance by reducing the FPR to 3.92% while keeping the TPR at the high rate of 99.05%.