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https://hdl.handle.net/123456789/116| Τύπος: | Άρθρο σε επιστημονικό περιοδικό |
| Τίτλος: | Review on psychological stress detection using biosignals |
| Συγγραφέας: | [EL] Γιαννακάκης, Γιώργος[EN] Giannakakis, Giorgos [EL] Γρηγοριάδης, Δημήτρης[EN] Grigoriadis, Dimitris [EL] Γιαννακάκη, Κατερίνα[EN] Giannakaki, Katerina [EL] Σημαντιράκη, Ολυμπία[EN] Simantiraki, Olympia [EL] Ρονιώτης, Αλέξανδρος[EN] Roniotis, Alexandros [EL] Τσικνάκης, Εμμανουήλ[EN] Tsiknakis, Manolis |
| Ημερομηνία: | 09/07/2019 |
| Περίληψη: | This review investigates the effects of psychological stress on the human body measured through biosignals. When a potentially threatening stimulus is perceived, a cascade of physiological processes occurs mobilizing the body and nervous system to confront the imminent threat and ensure effective adaptation. Biosignals that can be measured reliably in relation to such stressors include physiological (EEG, ECG, EDA, EMG) and physical measures (respiratory rate, speech, skin temperature, pupil size, eye activity). A fundamental objective in this area of psychophysiological research is to establish reliable biosignal indices that reveal the underlying physiological mechanisms of the stress response. Motivated by the lack of comprehensive guidelines on the relationship between the multitude of biosignal features used in the literature and their corresponding behaviour during stress, in this paper, the impact of stress to multiple bodily responses is surveyed. Emphasis is put on the efficiency, robustness and consistency of biosignal data features across the current state of knowledge in stress detection. It is also explored multimodal biosignal analysis and modelling methods for deriving accurate stress correlates. This paper aims to provide a comprehensive review on biosignal patterns caused during stress conditions and reliable practical guidelines towards more efficient detection of stress. |
| Γλώσσα: | Αγγλικά |
| Τόπος δημοσίευσης: | Greece |
| Σελίδες: | 24 |
| DOI: | 10.1109/TAFFC.2019.2927337 |
| EISSN: | 1949-3045 |
| Θεματική κατηγορία: | [EL] Βιοϊατρική Μηχανική[EN] Medical Engineering |
| Λέξεις-κλειδιά: | stress; biosignals; physiological measures; EEG; ECG; EDA; HRV; stress response |
| Κάτοχος πνευματικών δικαιωμάτων: | © Copyright 2019 IEEE |
| Διατίθεται ανοιχτά στην τοποθεσία: | https://www.researchgate.net/publication/334352064_Review_on_psychological_stress_detection_using_biosignals |
| Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: | https://ieeexplore.ieee.org/document/8758154/keywords#keywords |
| Ηλεκτρονική διεύθυνση περιοδικού: | https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=5165369 |
| Τίτλος πηγής δημοσίευσης: | IEEE Transactions on Affective Computing |
| Σημειώσεις: | This study was partially supported by the Greek State Scholarships Foundation (IKY) scholarship programme and co-financed by the action entitled ”Reinforcement of Postdoctoral Researchers”, in the framework of the Opera- tional Programme ”Human Resources Development Pro- gram, Education and Lifelong Learning” of the NSRF 2014 – 2020 (Grant No: 2016-050-0503-7047). |
| Εμφανίζεται στις συλλογές: | Μεταδιδακτορικοί ερευνητές |
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