光体积描记图(PPG)是与组织中的血液脉动量相关的非侵入性循环信号,并且通常由脉搏血氧计收集。通过移动设备收集的PPG信号容易出现伪影,对测量精度产生负面影响。这可能导致大量误导性诊断。鉴于移动设备收集PPG信号的使用迅速增加,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。基于以下条件开发和测试了八个SQIs:灌注,峰度,偏斜度,相对功率,非平稳性,过零点,熵,和收缩压波探测器的匹配。两个独立的注释器注释了所有PPG数据(106条记录,各60秒)和第三位专家进行了分歧裁决。独立注释器用以下标签之一标记每个PPG信号:可接受或不适合诊断。使用马氏距离比较所有指标,线性判别分析,二次判别分析,和带留一交叉验证的支持向量机。偏度指数在区分优秀PPG和可接受PPG方面优于其他七个指数,可接受加上不适合,和不合适的录音,总体F1得分为86.0%,87.2%,79.1%,分别。
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 F 1 scores of 86.0%, 87.2%, and 79.1%, respectively.