Signal Quality Estimation With Multichannel Adaptive Filtering in Intensive Care Settings
Signal Quality Estimation With Multichannel Adaptive Filtering in Intensive Care Settings
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DOI：
10.1109/tbme.2012.2204882
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发表时间：
2012-09-01
影响因子：
4.6
通讯作者：
Mark, Roger G.
中科院分区：
文献类型：
--
作者：
Silva, Ikaro;Lee, Joon;Mark, Roger G.
生理波形的信号质量估计是现实世界数据自动化处理的重要初始步骤。本文提出了一种基于自适应多通道预测的通用点逐点信号质量指标（SQI），该指标不依赖于从目标波形中提取形态学特征。将这种新的SQI应用于光容积描记图（PPG）、动脉血压（ABP）测量和心电图表明，SQI与1361个多通道波形时代的信噪比（通过添加高斯白噪声模拟）和主观的人类素质评估单调相关。在受试者工作特征（ROC）曲线分析中，人类“不良”质量标签为阳性，“良好”质量标签为阴性，ROC曲线下的面积为0.86 （PPG）、0.82 （ABP）和0.68 （ECG）。
A signal quality estimate of a physiological waveform can be an important initial step for automated processing of real-world data. This paper presents a new generic point-by-point signal quality index (SQI) based on adaptive multichannel prediction that does not rely on ad hoc morphological feature extraction from the target waveform. An application of this new SQI to photo-plethysmograms (PPG), arterial blood pressure (ABP) measurements, and ECG showed that the SQI is monotonically related to signal-to-noise ratio (simulated by adding white Gaussian noise) and to subjective human quality assessment of 1361 multichannel waveform epochs. A receiver-operating-characteristic (ROC) curve analysis, with the human "bad" quality label as positive and the "good" quality label as negative, yielded areas under the ROC curve of 0.86 (PPG), 0.82 (ABP), and 0.68 (ECG).