Optimal Signal Quality Index for Photoplethysmogram Signals.
Optimal Signal Quality Index for Photoplethysmogram Signals.
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DOI：
10.3390/bioengineering3040021
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发表时间：
2016-09-22
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影响因子：
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通讯作者：
Elgendi M
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作者：
Elgendi M
光电体积描记图 (PPG) 是一种与组织中血液脉动量相关的无创循环信号，通常由脉搏血氧计收集。通过移动设备收集的 PPG 信号很容易出现伪影，从而对测量精度产生负面影响，从而可能导致大量误导性诊断。鉴于越来越多地使用移动设备来收集 PPG 信号，开发最佳信号质量指数 (SQI) 对于对这些设备的信号质量进行分类至关重要。八个 SQI 的开发和测试基于：灌注、峰度、偏度、相对功率、非平稳性、过零、熵和收缩波检测器的匹配。两名独立注释者对所有 PPG 数据进行注释（106 条记录，每条 60 秒），第三名专家对差异进行裁决。独立注释者用以下标签之一标记每个 PPG 信号：优秀、可接受或不适合诊断。所有指数均使用马氏距离、线性判别分析、二次判别分析和留一交叉验证的支持向量机进行比较。偏度指数在区分优秀 PPG 和可接受、可接受结合不合格和不合格记录方面优于其他七个指标，总分分别为 86.0%、87.2% 和 79.1%。
A photoplethysmogram (PPG) is a noninvasive circulatory signal related to the pulsatile volume of blood in tissue and is typically collected by pulse oximeters. PPG signals collected via mobile devices are prone to artifacts that negatively impact measurement accuracy, which can lead to a significant number of misleading diagnoses. Given the rapidly increased use of mobile devices to collect PPG signals, developing an optimal signal quality index (SQI) is essential to classify the signal quality from these devices. Eight SQIs were developed and tested based on: perfusion, kurtosis, skewness, relative power, non-stationarity, zero crossing, entropy, and the matching of systolic wave detectors. Two independent annotators annotated all PPG data (106 recordings, 60 s each) and a third expert conducted the adjudication of differences. The independent annotators labeled each PPG signal with one of the following labels: excellent, acceptable or unfit for diagnosis. All indices were compared using Mahalanobis distance, linear discriminant analysis, quadratic discriminant analysis, and support vector machine with leave-one-out cross-validation. The skewness index outperformed the other seven indices in differentiating between excellent PPG and acceptable, acceptable combined with unfit, and unfit recordings, with overall scores of 86.0%, 87.2%, and 79.1%, respectively.