Electrodermal activity processing: A convex optimization approach
Electrodermal activity processing: A convex optimization approach
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皮肤电活动处理：凸优化方法
DOI：
10.1109/embc.2014.6944077
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
L. Citi
中科院分区：
文献类型：
--
作者：
A. Greco;A. Lanatà;G. Valenza;E. Scilingo;L. Citi
本文报道了一种新的模型，基于凸优化方法的皮肤电导（SC）的皮肤电活动（EDA）的情感刺激的反应进行分析。从以前的评估方法的方法，这个新的模型提出了一个分解的SC到紧张和阶段的组成部分，通过凸优化问题的解决方案。以前的知识，EDA的生理占通过适当选择的约束和正则化。为了测试新方法的有效性，9名健康受试者的实验会话中，使用从IAPS数据库中收集的情感图片刺激设计和进行。实验会话包括一系列负效价高唤醒图像和一系列中性图像，中性和高唤醒图像的刺激间隔约为2秒。接下来，对从相位驱动器提取的一组特征和由模型估计的强直信号进行统计分析。结果表明，从模型中提取的相位驱动程序能够很好地区分唤醒会话和中性会话。相反，没有显着差异被发现的紧张成分。这一实验结果与文献一致，并证实了相位成分与自主神经系统交感神经活动的变化密切相关。虽然是初步的，这些结果是非常令人鼓舞的，未来的工作将取得进展，通过具体和控制实验进一步验证模型。
This paper reports on a novel model based on convex optimization methods for the analysis of the skin conductance (SC) as response of the electrodermal activity (EDA) to affective stimuli. Starting from previous assessed methodological approaches, this new model proposes a decomposition of SC into tonic and phasic components through the solution of a convex optimization problem. Previous knowledge about the physiology of the EDA is accounted for by means of an appropriate choice of constraints and regularizers. In order to test the effectiveness of the new approach, an experimental session in which 9 healthy subjects were stimulated using affective pictures gathered from the IAPS database was designed and carried out. The experimental session included series of negative-valence high-arousal images and series of neutral images, with an inter-stimulus interval of about 2 seconds for both neutral and high arousal pictures. Next, a statistical analysis was performed on a set of features extracted from the phasic driver and the tonic signal estimated by the model. Results showed that the phasic driver extracted from the model was able to strongly distinguish arousal sessions from neutral ones. Conversely, no significant difference was found for the tonic components. This experimental findings are consistent with the literature and confirm that the phasic component is strictly related to changes in the sympathetic activity of the autonomic nervous system. Although preliminary, these results are very encouraging and future work will progress to further validate the model through specific and controlled experiments.