Department of Physics, Faculty of Science, University of Zakho, Zakho, Iraq.
Department of Physics, College of Science, University of Duhok, Duhok, Iraq.
Skin Res Technol. 2021 Jul;27(4):582-588. doi: 10.1111/srt.12989. Epub 2020 Dec 30.
BACKGROUND/AIM: The skin conductance responses (SCRs) are a well-accepted indicator of physiological arousal for both research purposes and clinical approaches. The shape of SCRs is analyzed by various features. However, the estimation of how much (in %) one feature can explain another is still an open issue. The aim of this study was to assess whether variation in one SCR feature predicts changes in other features.
Skin conductance (SC) was measured during relaxation and mental stress in 40 subjects. SCRs were induced by three external stimuli, which were deep breath, a mental arithmetic, task and a visual task.
The findings of this study showed that about 55% (R = 0.55) of the variation in the half recovery time (SCRs_rec 50%) can be explained by the rise time (SCRs_ris), whereas variation in amplitude of the skin conductance responses (SCRs_amp) and the skin conductance level (SCL) is independent and cannot be explained by the other features, as R values obtained from all analyses among these SCR features in average were lower 0.19.
The study results suggest that the two timing phases (SCRs_rec and SCRs_ris) are not completely independent from each other, although they might be governed by different sweating mechanisms (secretion and reabsorption). However, SCRs_amp and SCL were independent. These findings can help in choosing the optimal set of features of an automated system for processing EDA, which reflect the alterations in the activation level generated during an emotional episode.
背景/目的：皮肤电反应（SCR）是研究和临床方法中生理唤醒的一个公认指标。SCR 的形状通过各种特征进行分析。然而，一个特征可以解释另一个特征的程度（以百分比表示）的估计仍然是一个悬而未决的问题。本研究的目的是评估一个 SCR 特征的变化是否可以预测其他特征的变化。
在 40 名受试者的放松和心理压力期间测量皮肤电导。SCR 由三个外部刺激引起，分别是深呼吸、心算任务、任务和视觉任务。
本研究的结果表明，大约 55%（R=0.55）的半恢复时间（SCRs_rec 50%）变化可以用上升时间（SCRs_ris）来解释，而皮肤电导反应幅度（SCRs_amp）和皮肤电导水平（SCL）的变化是独立的，不能用其他特征来解释，因为从这些 SCR 特征的所有分析中获得的 R 值平均低于 0.19。
研究结果表明，两个时间阶段（SCRs_rec 和 SCRs_ris）彼此不完全独立，尽管它们可能受到不同的出汗机制（分泌和再吸收）的控制。然而，SCRs_amp 和 SCL 是独立的。这些发现可以帮助选择用于处理 EDA 的自动化系统的最佳特征集，这些特征反映了在情绪发作期间产生的激活水平的变化。
