Annu Int Conf IEEE Eng Med Biol Soc. 2021 Nov;2021:5625-5630. doi: 10.1109/EMBC46164.2021.9630595.
Photoplethysmography (PPG) is a non-invasive and economical technique to extract vital signs of the human body. Although it has been widely used in consumer and research grade wrist devices to track a user's physiology, the PPG signal is very sensitive to motion which can corrupt the signal's quality. Existing Motion Artifact (MA) reduction techniques have been developed and evaluated using either synthetic noisy signals or signals collected during high-intensity activities - both of which are difficult to generalize for real-life scenarios. Therefore, it is valuable to collect realistic PPG signals while performing Activities of Daily Living (ADL) to develop practical signal denoising and analysis methods. In this work, we propose an automatic pseudo clean PPG generation process for reliable PPG signal selection. For each noisy PPG segment, the corresponding pseudo clean PPG reduces the MAs and contains rich temporal details depicting cardiac features. Our experimental results show that 71% of the pseudo clean PPG collected from ADL can be considered as high quality segment where the derived MAE of heart rate and respiration rate are 1.46 BPM and 3.93 BrPM, respectively. Therefore, our proposed method can determine the reliability of the raw noisy PPG by considering quality of the corresponding pseudo clean PPG signal.
光电容积脉搏波描记术（PPG）是一种从人体提取生命体征的非侵入性和经济的技术。虽然它已经被广泛应用于消费者和研究级别的腕式设备来跟踪用户的生理状况，但 PPG 信号对运动非常敏感，运动可能会损坏信号的质量。已经开发并评估了现有的运动伪影（MA）减少技术，这些技术要么使用合成噪声信号，要么使用高强度活动期间采集的信号，但这两种方法都很难推广到实际场景中。因此，在进行日常活动（ADL）时收集现实的 PPG 信号，以开发实用的信号去噪和分析方法是很有价值的。在这项工作中，我们提出了一种自动的伪清洁 PPG 生成过程，用于可靠的 PPG 信号选择。对于每个噪声 PPG 段，相应的伪清洁 PPG 减少了 MA，并包含丰富的时间细节，描绘了心脏特征。我们的实验结果表明，从 ADL 中采集的 71%的伪清洁 PPG 可以被认为是高质量的片段，从中得出的心率和呼吸率的 MAE 分别为 1.46 BPM 和 3.93 BrPM。因此，我们提出的方法可以通过考虑相应的伪清洁 PPG 信号的质量来确定原始噪声 PPG 的可靠性。
