Amirkabir University of Technology AUT Journal of Electrical Engineering 2588-2910 49 1 2017 06 01 Proposed new signal for real-time stress monitoring: Combination of physiological measures 11 18 822 10.22060/eej.2016.822 EN M. Saidi Research Center of Development Advanced Technologies, Khaje Nasir al din Tusi, Tehran, Iran H. Hassanpoor Research Center of Development Advanced Technologies, Khaje Nasir al din Tusi, Tehran, Iran Department of Biomedical Engineering, Amirkabir University of Technology, Tehran, Iran A. Azizi Lari Research Center of Development Advanced Technologies, Khaje Nasir al din Tusi, Tehran, Iran Journal Article 2015 04 28 Human stress is a physiological tension that appears when a person responds to mental, emotional, or physical chal-lenges. Detecting human stress and developing methods to manage it, has become an important issue nowadays. Au-tomatic stress detection through physiological signals may be a useful method for solving this problem. In most of the earlier studies, long-term time window was considered for stress detection. Continues and real-time representation of the stress level is usually done through one physiological signal. In this paper, a real-time stress monitoring system is pro-posed which shows the user a new signal for feedback stress level. This signal is combined of weighted features of gal-vanic skin response and photoplethysmography signals. The features are defined in 20-sec time windows. Correlation feature selection and linear regression methods are used for feature selection and feature combination respectively. Furthermore, a set of experiments was conducted for training and testing of the proposed model. The proposed model can represent the relative stress level perfectly and has 79% accuracy for classifying the stress and relaxation phases into two categories by a determined threshold. https://eej.aut.ac.ir/article_822_afda332245e2af431fb7b672a68b659d.pdf