Communications Technology Group, Aragón Institute of Engineering Research, IIS Aragón, Universidad de Zaragoza, Zaragoza, Spain.
Med Biol Eng Comput. 2013 Feb;51(1-2):233-42. doi: 10.1007/s11517-012-0954-0. Epub 2012 Sep 21.
A method for deriving respiration from the pulse photoplethysmographic (PPG) signal is presented. This method is based on the pulse width variability (PWV), and it exploits the respiratory information present in the pulse wave velocity and dispersion. It allows to estimate respiration signal from only a pulse oximeter which is a cheap and comfortable sensor. Evaluation is performed over a database containing electrocardiogram (ECG), blood pressure (BP), PPG, and respiratory signals simultaneously recorded in 17 subjects during a tilt table test. Respiratory rate estimation error is computed obtaining of 1.27 ± 7.81% (0.14 ± 14.78 mHz). For comparison purposes, we have also obtained a respiratory rate estimation from other known methods which involve ECG, BP, or also PPG signals. In addition, we have also combined respiratory information derived from different methods which involve only PPG signal, obtaining a respiratory rate error of -0.17 ± 6.67% (-2.16 ± 12.69 mHz). The presented methods, PWV and combination of PPG derived respiration methods, avoid the need of ECG to derive respiration without degradation of the obtained estimates, so it is possible to have reliable respiration rate estimates from just the PPG signal.
提出了一种从脉搏光体积描记图 (PPG) 信号中提取呼吸的方法。该方法基于脉搏波速度变化 (PWV),利用了脉搏波速度和分散度中存在的呼吸信息。它仅通过脉搏血氧仪即可估计呼吸信号,而脉搏血氧仪是一种廉价且舒适的传感器。在包含同时记录在 17 位受试者在倾斜台测试期间的心电图 (ECG)、血压 (BP)、PPG 和呼吸信号的数据库上进行了评估。通过计算获得的呼吸率估计误差为 1.27±7.81%(0.14±14.78 mHz)。为了进行比较,我们还从涉及 ECG、BP 或 PPG 信号的其他已知方法中获得了呼吸率估计值。此外,我们还结合了仅涉及 PPG 信号的不同方法得出的呼吸信息,获得了呼吸率误差为-0.17±6.67%(-2.16±12.69 mHz)。所提出的方法 PWV 和 PPG 衍生的呼吸方法的组合避免了需要 ECG 来进行呼吸而不会降低获得的估计值,因此仅通过 PPG 信号就可以进行可靠的呼吸率估计。