Assessment of photoplethysmogram signal quality using morphology integrated with temporal information approach
Assessment of photoplethysmogram signal quality using morphology integrated with temporal information approach
复制标题
使用形态学与时间信息方法相结合的光电体积描记图信号质量评估
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
Yuan
中科院分区：
文献类型：
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作者：
Xuxue Sun;Ping Yang;Yuan
从用于远程家庭医疗保健的可穿戴设备测量的光电体积描记器（PPG）信号通常被运动伪影破坏，运动伪影通常导致生理特征的错误提取并导致用于监测的错误医疗决策。在本文中，我们提出了一种创新的方法，它结合了信号序列中的时间变异性信息的形态特征，以评估信号质量，并拒绝无意义的段，显着污染的文物，旨在提高衍生的重要生理特征的准确性。使用我们实验室收集的PPG信号的实验结果表明，我们的机制可以达到98.92%的准确率。
Photoplethysmograph (PPG) signal measured from wearable devices for tele-home healthcare is often corrupted by motion artifacts which often cause false extraction of physiological features and lead to erroneous medical decision for monitoring. In this paper we propose an innovative method which combines the morphological characteristics with temporal variability information in the signal series to assess the signal quality and to reject the meaningless segments that are significantly contaminated by artifacts aiming at improving the accuracy of derived vital physiological features. Experimental results using PPG signals collected in our lab demonstrate that our mechanism can achieve an accuracy of 98.92%.