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相关概念视频

Pulse rhythm01:30

Pulse rhythm

782
Pulse rhythm refers to the pattern of pulsations within specific intervals, offering valuable insights into the regularity or irregularity of the heart's beats as observed through the pattern of pulsation within specific intervals. A regular pulse exhibits a consistent heart rate with uniform waveforms and pulsation force, variations of which can be classified as normal, weak, or bounding.
Conversely, an irregular pulse pattern is termed dysrhythmia, stemming from disruptions in cardiac...
782

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相关实验视频

Updated: Jun 22, 2025

Semi-automated Optical Heartbeat Analysis of Small Hearts
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使用多谱IPPG技术的高精度心率检测与深度学习算法相结合.

Yu Wang1,2, Yu Ren1,2, Tingting Wang1,2

  • 1School of Physics, Changchun University of Science and Technology, Changchun, China.

Journal of biophotonics
|June 27, 2024
PubMed
概括
此摘要是机器生成的。

这项研究引入了一种新的多光谱视频方法,用于准确的非接触式心率 (HR) 检测. 开发的IPPGResNet18神经网络有效地监控HR在运动期间,优于传统方法.

关键词:
IPPG技术是IPPG的技术之一.卷积神经网络是一种卷积神经网络.心率检测检测器的心率检测器多光谱成像技术多光谱成像技术

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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
  • 计算机视觉 计算机视觉

背景情况:

  • 图像光电显微镜 (IPPG) 是一种非接触式的生理参数检测方法,广泛用于心率 (HR) 监测.
  • 传统的IPPG方法面临限制,包括狭窄的光谱范围和运动检测性能差.
  • 需要改进非接触式的人力资源监控解决方案,特别是在动态环境中.

研究的目的:

  • 提出一种先进的HR检测方法,利用多光谱视频和IPPG技术.
  • 开发和评估一个新的端到端神经网络 (IPPGResNet18),用于从面部多谱视频中实时估计HR.
  • 为了证明拟议方法在运动条件下准确检测HR的有效性.

主要方法:

  • 实施一种新的HR检测方法,将多光谱成像与IPPG技术相结合.
  • 开发一个端到端的神经网络,IPPGResNet18,从面部多谱视频进行实时HR评估.
  • 在专门的多光谱视频数据集上对IPPGResNet18模型的培训和验证.

主要成果:

  • IPPGResNet18模型取得了有希望的结果,MAE=2.793,RMSE=3.695和SD=3.707. 这两项结果均为可预见的.
  • 提出的基于多光谱视频的HR检测方法表现出高精度,特别是在运动状态下.
  • 定量分析显示,估计和实际HR值之间存在很高的一致性 (p = 0.304).

结论:

  • 提出的基于多光谱视频的IPPG方法为准确的非接触式HR检测提供了显著的进步.
  • IPPGResNet18神经网络为实时HR监控提供了强大的解决方案,即使在主体移动时也是如此.
  • 这项技术显然优于传统的实时HR监控方法在体育活动期间.