IEEE Trans Biomed Eng. 2019 Feb;66(2):311-318. doi: 10.1109/TBME.2018.2837499. Epub 2018 May 17.
The purpose of this paper is to demonstrate that a new algorithm for estimating arterial oxygen saturation can be effective even with data corrupted by motion artifacts (MAs).
OxiMA, an algorithm based on the time-frequency components of a photoplethysmogram (PPG), was evaluated using 22-min datasets recorded from 10 subjects during voluntarily-induced hypoxia, with and without subject-induced MAs. A Nellcor OxiMax transmission sensor was used to collect an analog PPG while reference oxygen saturation and pulse rate (PR) were collected simultaneously from an FDA-approved Masimo SET Radical RDS-1 pulse oximeter.
The performance of our approach was determined by computing the mean relative error between the PR/oxygen saturation estimated by OxiMA and the reference Masimo oximeter. The average estimation error using OxiMA was 3 beats/min for PR and 3.24% for oxygen saturation, respectively.
The results show that OxiMA has great potential for improving the accuracy of PR and oxygen saturation estimation during MAs.
This is the first study to demonstrate the feasibility of a reconstruction algorithm to improve oxygen saturation estimates on a dataset with MAs and concomitant hypoxia.
本文旨在证明，即使存在运动伪影（MA）干扰，一种新的动脉血氧饱和度估计算法仍然有效。
采用基于光容积脉搏波（PPG）时频分量的 OxiMA 算法，对 10 名自愿性低氧受试者在有和无受试者诱发 MA 时的 22 分钟数据集进行评估。Nellcor OxiMax 传输传感器采集模拟 PPG，同时从经过 FDA 批准的 Masimo SET Radical RDS-1 脉搏血氧仪同步采集参考血氧饱和度和脉搏率（PR）。
通过计算 OxiMA 估计的 PR/血氧饱和度与参考 Masimo 血氧仪之间的平均相对误差来确定我们方法的性能。使用 OxiMA 的平均估计误差分别为 PR 3 次/分钟和血氧饱和度 3.24%。
结果表明，OxiMA 有潜力提高 MA 期间 PR 和血氧饱和度估计的准确性。
这是第一项研究，证明了在存在 MA 和伴随低氧的数据集上，重建算法改善血氧饱和度估计的可行性。
