To Investigate the Feasibility of Palm-Video-Based IPPG Technique

Rui Wu, Haoyuan Gao, Chao Zhang, Xiao-pei Wu
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Abstract

Resting heart rate is an independent predictor of cardiovascular disease and all-cause mortality from cardiovascular disease. Imaging photoplethysmography (IPPG) provides a more comfortable environment for heart rate estimation than electrocardiography and photoplethysmography. However, existing studies usually focus on the videos of facial skin, rather than the other skin regions. In our research, we collected the videos containing face and palm simultaneously and compared the reliability of blood volume pulse (BVP) signals extracted from facial and palmar regions. We also collected the videos containing palms in different age groups and calculated the signal-to-noise ratio (SNR) to analyze the BVP signal quality extracted from palms of different ages. Based on the video data from 17 subjects, the experimental results showed that the heart rate estimated in the palmar region is more reliable than that in the facial region. This study also revealed that the quality of palmer BVP signal extracted from the elderly is higher than that extracted from the young.
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探讨基于手掌视频的IPPG技术的可行性
静息心率是心血管疾病和心血管疾病全因死亡率的独立预测因子。成像光容积脉搏波(IPPG)提供了一个比心电图和光容积脉搏波更舒适的环境来估计心率。然而,现有的研究通常集中在面部皮肤的视频,而不是其他皮肤区域。在我们的研究中,我们同时收集了包含面部和手掌的视频,并比较了从面部和手掌区域提取的血容量脉冲(BVP)信号的可靠性。我们还收集了不同年龄段棕榈树的视频,并计算了信噪比(SNR),分析了不同年龄段棕榈树提取的BVP信号质量。基于17个被试的视频数据,实验结果表明掌区心率的估计比面部心率的估计更可靠。本研究还发现,从老年人中提取的palmer BVP信号质量高于从年轻人中提取的。
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