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Information Journal Paper

Title

PROPOSED NEW SIGNAL FOR REAL-TIME STRESS MONITORING: COMBINATION OF PHYSIOLOGICAL MEASURES

Pages

  11-17

Abstract

 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. Auto-matic STRESS DETECTION through PHYSIOLOGICAL SIGNALS may be a useful method to solve this problem. In most of the earlier studies, long-term time window was considered for STRESS DETECTION. Continuous and a real-time representation of the stress level are 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 the combination of weighted features of galvanic 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 to train and test 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.

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    APA: Copy

    SAIDI, M., HASSANPOOR, H., & AZIZI LARI, A.. (2017). PROPOSED NEW SIGNAL FOR REAL-TIME STRESS MONITORING: COMBINATION OF PHYSIOLOGICAL MEASURES. AUT JOURNAL OF ELECTRICAL ENGINEERING, 49(1), 11-17. SID. https://sid.ir/paper/352275/en

    Vancouver: Copy

    SAIDI M., HASSANPOOR H., AZIZI LARI A.. PROPOSED NEW SIGNAL FOR REAL-TIME STRESS MONITORING: COMBINATION OF PHYSIOLOGICAL MEASURES. AUT JOURNAL OF ELECTRICAL ENGINEERING[Internet]. 2017;49(1):11-17. Available from: https://sid.ir/paper/352275/en

    IEEE: Copy

    M. SAIDI, H. HASSANPOOR, and A. AZIZI LARI, “PROPOSED NEW SIGNAL FOR REAL-TIME STRESS MONITORING: COMBINATION OF PHYSIOLOGICAL MEASURES,” AUT JOURNAL OF ELECTRICAL ENGINEERING, vol. 49, no. 1, pp. 11–17, 2017, [Online]. Available: https://sid.ir/paper/352275/en

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