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首页> 美国卫生研究院文献>Healthcare Technology Letters >Use of zero-frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal
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Use of zero-frequency resonator for automatically detecting systolic peaks of photoplethysmogram signal

机译：使用零频谐振器自动检测光电容积描记图信号的收缩峰

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This work investigates the application of zero-frequency resonator (ZFR) for detecting systolic peaks of photoplethysmogram (PPG) signals. Based on the authors’ studies, they propose an automated noise-robust method, which consists of the central difference operation, the ZFR, the mean subtraction and averaging, the peak determination, and the peak rejection/acceptance rule. The method is evaluated using different kinds of PPG signals taken from the standard MIT-BIH polysomnographic database and Complex Systems Laboratory database and the recorded PPG signals at their Biomedical System Lab. The method achieves an average sensitivity (Se) of 99.95%, positive predictivity (Pp) of 99.89%, and overall accuracy (OA) of 99.84% on a total number of 116,673 true peaks. Evaluation results further demonstrate the robustness of the ZFR-based method for noisy PPG signals with a signal-to-noise ratio (SNR) ranging from 30 to 5 dB. The method achieves an average Se = 99.76%, Pp = 99.84%, and OA = 99.60% for noisy PPG signals with a SNR of 5 dB. Various results show that the method yields better detection rates for both noise-free and noisy PPG signals. The method is simple and reliable as compared with the complexity of signal processing techniques and detection performance of the existing detection methods.
机译：这项工作研究零频率谐振器（ZFR）在检测光电容积描记图（PPG）信号的收缩峰中的应用。根据作者的研究，他们提出了一种自动的噪声稳健方法，该方法包括中心差运算，ZFR，均值减法和均值，峰确定以及峰抑制/接受规则。使用从标准MIT-BIH多导睡眠图数据库和复杂系统实验室数据库中获取的各种PPG信号，以及在其生物医学系统实验室中记录的PPG信号，对方法进行评估。该方法在总共116,673个真实峰上实现了99.95％的平均灵敏度（Se），99.89％的正预测性（Pp）和99.84％的总体准确度（OA）。评估结果进一步证明了基于ZFR的方法对噪声PPG信号的信噪比（SNR）为30至5 dB的鲁棒性。对于SNR为5 dB的有噪声的PPG信号，该方法可实现平均Se = 99.76％，Pp = 99.84％和OA = 99.60％。各种结果表明，该方法对无噪声和有噪声的PPG信号均具有更好的检测率。与信号处理技术的复杂性和现有检测方法的检测性能相比，该方法简单可靠。

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