[基于频率调节和多尺度时空建模的远程心率估计方法]
Shenyang Sui1, Yongxiong Wang1, Mengqing Geng1
1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, P. R. China.
概括
这项研究引入了一种新的远程心率估计方法,使用频率调节和多尺度建模来克服运动工件和个体变异,显著提高数据集的准确性.
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:
- 远程光波立体图 (rPPG) 容易在现实环境中发现运动物体和生理变异.
- 现有的rPPG方法与噪声和个体差异作斗争,限制了它们的实际应用.
研究的目的:
- 开发一种先进的rPPG方法,能够应对复杂的环境干扰和个体生理差异.
- 为了提高远程心率估计的稳定性和跨数据集的概括性.
主要方法:
- 一个频率调节的正常化模块被设计为通过强调主导的心率频率来抑制噪音.
- 一个多层次的时空特征融合模块,具有多尺度的卷积和跨层集成,捕获各种生理信号.
- 在时空建模中使用动态加权来改进长期依赖性分析.
主要成果:
- 拟议的方法证明了跨数据集的卓越性能,减少了rPPG心率估计中的平均绝对误差 (MAE).
- 在培训PURE和测试UBFC-rPPG时,MAE从1.31降至1.28.
- 在UBFC-rPPG训练和PURE测试时,MAE从0.97降至0.82,超过了最先进的方法.
结论:
- 频率调节和多尺度时空建模方法显著提高了rPPG的准确性和稳定性.
- 该方法在复杂的现实场景中为远程心率监测提供了更好的稳定性和可用性.
- 这项工作推进了rPPG方法,特别是在具有挑战性的条件下基于脉冲波的心率估计.
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