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基于适应性重量的空间平均化方法用于成像光电聚光学成像.

JongSong Ryu1,2, HyonSam Ryu3, Shili Liang1

  • 1Northeast Normal University, School of Physics, Changchun, China.

Journal of biomedical optics
|September 1, 2023
PubMed
概括

这项研究引入了自适应空间平均方法,以改善使用成像光电显微镜 (iPPG) 的非接触式心率监测. 该技术增强了脉冲信号质量,用于准确的生理测量.

关键词:
适应性的体重适应性的体重.影像摄影的光电磁共振学.信号与噪声的比率.空间平均的空间平均值.感兴趣的子区域.

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科学领域:

  • 生物医学工程 生物医学工程
  • 信号处理 信号处理
  • 遥感 遥感 遥感 遥感

背景情况:

  • 影像光电脉冲扫描 (iPPG) 提供非接触式生理监测,但由于噪音而受到低质量的脉冲信号的影响.
  • 准确测量像心率 (HR) 这样的生理参数需要高保真性IPPG信号.

研究的目的:

  • 开发一种适应空间平均化方法,以提高iPPG信号质量.
  • 为了提高来自iPPG信号的生理参数估计的准确性.

主要方法:

  • 一个面部感兴趣区域 (ROI) 被分为七个子ROI (sROI).
  • 大致HR是从每个sROI计算出来的,其次是SNR计算.
  • 根据SNR,向sROI分配适应权重,以产生高质量的脉冲信号.

主要成果:

  • 拟议的方法与使用自收集和公共 (PURE) 数据库的其他技术进行了验证.
  • 与现有方法相比,在各种分辨率和条件下显示出优异的脉冲信号质量.

结论:

  • 适应空间平均方法显著改善了iPPG脉冲信号质量.
  • 增强的信号质量有助于更准确地测量生理参数,包括HR和HR可变性.