基于外周血流估计的视频交感神经唤醒评估
Video-based sympathetic arousal assessment via peripheral blood flow estimation
AI总结：
本文提出利用RGB摄像头测量面部或手部外周血流来推断交感神经唤醒，并构建了21人数据集，验证了该方法与金标准EDA的中位相关性达0.57-0.63，表明前额、手指或手掌是最佳测量部位。
摘要：
皮肤电活动（EDA）被认为是交感神经活动的标准标志物。然而，传统的EDA测量需要电极与皮肤稳定接触。能否仅使用光学传感器（如RGB摄像头）来测量交感神经唤醒？本文提出了一种新方法，通过光学方式测量面部或手部的外周血流来推断交感神经唤醒。我们贡献了一个自采集的21名参与者的数据集，包含参与者面部和手掌的同步视频以及金标准EDA和光电容积脉搏波（PPG）信号。我们的结果表明，我们能够测量与金标准EDA密切相关的周围交感神经反应。仅使用参与者手掌或前额的视频，或来自前额或手指的PPG信号，我们推断的信号与金标准EDA之间的中位相关系数为0.57至0.63。我们还表明，交感神经唤醒最好从前额、手指或手掌推断得出。
英文摘要：
Electrodermal activity (EDA) is considered a standard marker of sympathetic activity. However, traditional EDA measurement requires electrodes in steady contact with the skin. Can sympathetic arousal be measured using only an optical sensor, such as an RGB camera? This paper presents a novel approach to infer sympathetic arousal by measuring the peripheral blood flow on the face or hand optically. We contribute a self-recorded dataset of 21 participants, comprising synchronized videos of participants' faces and palms and gold-standard EDA and photoplethysmography (PPG) signals. Our results show that we can measure peripheral sympathetic responses that closely correlate with the ground truth EDA. We obtain median correlations of 0.57 to 0.63 between our inferred signals and the ground truth EDA using only videos of the participants' palms or foreheads or PPG signals from the foreheads or fingers. We also show that sympathetic arousal is best inferred from the forehead, finger, or palm.
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