Modulation Model of the Photoplethysmography Signal for Vital Sign Extraction
Modulation Model of the Photoplethysmography Signal for Vital Sign Extraction
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DOI：
10.1109/jbhi.2020.3013811
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发表时间：
2021-04-01
影响因子：
7.7
通讯作者：
Wang, Quanzeng
中科院分区：
文献类型：
--
作者：
Chen, Mingliang;Zhu, Qiang;Wang, Quanzeng
本文介绍了一种调幅调频（AM-FM）模型来表征光体积脉搏波（PPG）信号。该模型表明，PPG信号频谱包含一个主导频率成分-心率（HR），该频率成分由两侧两个较弱的频率成分保护；从主导成分到保护成分的距离代表呼吸速率（RR）。在此模型的基础上，提出了一种通过搜索主频率分量和两个保护分量来估计HR和RR的有效算法。所提出的方法在频域估计RR，比现有技术基于时间特征对加性噪声具有更强的鲁棒性。实验分别对接触式传感器（血氧计）和非接触式可见成像传感器（彩色摄像机）采集的两种PPG信号进行实验。来自非接触式传感器的PPG信号比来自接触式传感器的信号噪声大得多。实验结果证明了该算法的有效性，包括在相对嘈杂的场景下。
This paper introduces an amplitude and frequency modulation (AM-FM) model to characterize the photoplethysmography (PPG) signal. The model indicates that the PPG signal spectrum contains one dominant frequency component - the heart rate (HR), which is guarded by two weaker frequency components on both sides; the distance from the dominant component to the guard components represents the respiratory rate (RR). Based on this model, an efficient algorithm is proposed to estimate both HR and RR by searching for the dominant frequency component and two guard components. The proposed method is performed in the frequency domain to estimate RR, which is more robust to additive noise than the prior art based on temporal features. Experiments were conducted on two types of PPG signals collected with a contact sensor (an oximeter) and a contactless visible imaging sensor (a color camera), respectively. The PPG signal from the contactless sensor is much noisier than the signal from the contact sensor. The experimental results demonstrate the effectiveness of the proposed algorithm, including under relatively noisy scenarios.