A State-Space Approach for Detecting Stress from Electrodermal Activity

Dilranjan S. Wickramasuriya, Chaoxian Qi, Rose T. Faghih

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    The human body responds to neurocognitive stress in multiple ways through its autonomic nervous system. Increases in heart rate, salivary cortisol and skin conductance level are often observed accompanying high levels of stress. Stress can also take on different forms including emotional, cognitive and motivational. While a precise definition for stress is lacking, a pertinent issue is to quantify the state of psychological stress manifested in the nervous system. State-space models have previously been applied to estimate an unobserved neural state (e.g. learning, consciousness) from physiological signal measurements and data collected during behavioral experiments. In this paper, we relate stress to the probability that a phasic driver impulse occurs in skin conductance signals. We apply state-space modeling to extracted binary measures to continuously track a stress level across episodes of cognitive and emotional stress as well as relaxation. Results demonstrate a promising approach for tracking stress through wearable devices.

    Original languageEnglish (US)
    Title of host publication40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages3562-3567
    Number of pages6
    ISBN (Electronic)9781538636466
    DOIs
    StatePublished - Oct 26 2018
    Event40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Honolulu, United States
    Duration: Jul 18 2018Jul 21 2018

    Publication series

    NameProceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS
    Volume2018-July
    ISSN (Print)1557-170X

    Other

    Other40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
    Country/TerritoryUnited States
    CityHonolulu
    Period7/18/187/21/18

    ASJC Scopus subject areas

    • Signal Processing
    • Biomedical Engineering
    • Computer Vision and Pattern Recognition
    • Health Informatics

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