[基于运动噪声重建的动态血氧和度测量研究与凸组合最小平均平方自适应波器结合]
Linjia Zhang1, Xiaomin Yu1,2, Jian Lin3
1Key Laboratory of Biomedical Effect of Physical Field and Instrument, School of Electrical and Electronic Engineering, Chengdu University of Information Technology, Chengdu 610225, P. R. China.
这项研究引入了一种新的算法,通过减少光聚光学 (PPG) 信号中的运动噪声来提高脉冲氧计的准确性. 该方法有效地计算动态氧和,即使在运动期间.
科学领域:
- 生物医学工程 生物医学工程
- 信号处理 信号处理
- 可穿戴技术可穿戴技术
背景情况:
- 光电脉冲氧计易受光电脉冲氧计 (PPG) 信号中的运动工件 (MA) 的影响,影响准确性.
- 精确的动态氧和度测量对于监测患者健康至关重要,特别是在体力活动期间.
研究的目的:
- 开发和验证用于检测和减轻PPG信号中运动噪声的算法.
- 为了提高由便携式光电脉冲氧计获得的动态氧和度测量的准确性.
主要方法:
- 一个运动噪声参考信号的重建,使用完整的适应性噪声和经验模式分解组合,与多级别调配相结合.
- 在PPG信号中消除MA,通过凸组合最小平均平方自适应波器.
- 使用过的PPG信号计算动态氧和值.
主要成果:
- 模拟的步行和慢跑条件显示了低平均绝对误差 (MAE),分别为0.05和0.07.
- 平均绝对百分比误差 (MAPE) 为0.05%和0.07%,表明准确度很高.
- 达到了0.9712的高整体皮尔森相关系数,表明与参考值有很强的一致性.
结论:
- 拟议的算法有效地减少了损坏的PPG信号中的运动工件.
- 该方法显示了在便携式脉冲氧计中提高动态氧和度测量的准确性的巨大潜力.
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