Braun Björn, McDuff Daniel, Baltrusaitis Tadas, Holz Christian
Department of Computer Science, ETH Zürich, Switzerland.
University of Washington, USA.
Biomed Opt Express. 2023 Nov 30;14(12):6607-6628. doi: 10.1364/BOE.507949. eCollection 2023 Dec 1.
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.
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保持稳定接触。能否仅使用光学传感器（如RGB摄像头）来测量交感神经兴奋？本文提出了一种通过光学测量面部或手部外周血流来推断交感神经兴奋的新方法。我们贡献了一个由21名参与者组成的自记录数据集，包括参与者面部和手掌的同步视频以及金标准EDA和光电容积脉搏波描记法（PPG）信号。我们的结果表明，我们能够测量与真实EDA密切相关的外周交感神经反应。仅使用参与者手掌或额头的视频或来自额头或手指的PPG信号，我们推断出的信号与真实EDA之间的中位数相关性为0.57至0.63。我们还表明，从额头、手指或手掌最能推断出交感神经兴奋。
