模型和盲源分离融合的运动鲁棒视频心率检测
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TN911. 7 TP751. 1 TH79

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国家自然科学基金面上项目(62171176,62271186)、中央高校基本科研业务费专项( JZ2021HGPA0061)、安徽省重点研发计划项目(202104d07020005)资助


Motion-robust heart rate measurement from videos via combining model with blind source separation
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    摘要:

    远程光电容积描记法(rPPG)是一种基于视频的非接触心率检测技术,由于其携带的血容量脉搏(BVP)信号幅值微弱 易受运动噪声影响。 本文提出一种融合色差模型和盲源分离的运动鲁棒视频心率检测技术。 一方面,对每个感兴趣区域 (ROIs)采用色差模型并时延构建多通道数据集,凸显准周期变量同时抑制无规律运动噪声;另一方面,采用联合盲源分离提取 共同包含于两个数据集中的 BVP 源分量向量(SCVs),筛选合适的 SCV 确定为 BVP 信号,从而计算心率值。 所提方法在数据库 UBFC-RPPG 和 ECG-Fitness 上验证并与其他方法对比,在剧烈运动场景下性能最佳,心率 HRmae = 9. 93 bpm,HRrmse = 16. 17 bpm, 相关系数 r = 0. 75,为 rPPG 技术的实用化进程提供了解决思路。

    Abstract:

    Remote photoplethysmography ( rPPG) is a video-based and the non-contact heart rate ( HR) detection technique that is susceptible to motion noise due to weak amplitudes of blood volume pulse signal that carries, making it challenging to accurately detect video-based HR values in motion scenarios. This article studies HR estimation based on a combination of chrominance ( CHROM) signals and joint blind source separation (JBSS). On the one hand, CHROM is applied to each facial region of interest (ROI) and timedelay operation is followed by constructing two multi-channel datasets, which can highlight quasi-periodic variables while suppressing irregular motion noises. On the other hand, JBSS technique is applied to the generated two datasets to extract the common underlying source component vectors (SCVs), where the one indicating BVP signal is selected and the HR is measured. The proposed method is evaluated on two public databases UBFC-RPPG and ECG-Fitness, and compared with several other typical methods. The results show that the method achieves the best performance of HR estimation during the dramatic sport situation, with HRmae = 9. 93 bpm, HRrmse = 16. 17 bpm and r = 0. 75. It provides a solution for the practical applications of the rPPG technology.

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成 娟,武梦影,宋仁成,刘 羽,陈 勋.模型和盲源分离融合的运动鲁棒视频心率检测[J].仪器仪表学报,2023,44(8):289-298

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  • 在线发布日期: 2023-12-19
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