TY - GEN
T1 - Real Time Mental Stress Detection Through Breath Analysis
AU - Santos, Paulo
AU - Roth, Peter
AU - Fernandes, Jorge M.
AU - Fetter, Viktor
AU - Vassilenko, Valentina
N1 - The authors thank all volunteers for participating in the study. The work benefitted from the continuous support from the combined effort of NOVA School of Science and Technology, NMT, S.A. and Airbus Defence and Space GmbH. Partial support comes from Fundação para a Ciência e Tecnologia (FCT, Portugal) through the PhD grant (PD/BDE/ 114550/2016).
PY - 2020
Y1 - 2020
N2 - Modern work environment is changing from classic physiological to more psychological workloads. The capability to monitor biochemical processes within the human body positions breath analysis as a promising method to non-invasively and quickly detect mental stress. The present work aims to identify psychological stress biomarkers and breath profile changes after psychological interventions (PASAT or relaxing videos). In an exploratory study, 14 male participants followed a double cross-over randomized study which included two experimental sessions (stress and neutral/relax). GSR and HR were continuously measured to indicate physiological stress levels. NASA-TLX questionnaires were fulfilled to quantify individual stress. Breath samples were selectively collected by a recently developed advanced breath sampling prototype device and afterwards analyzed with a GC-IMS apparatus. Some promising results on mental stress detection were found and are presented and discussed in this paper.
AB - Modern work environment is changing from classic physiological to more psychological workloads. The capability to monitor biochemical processes within the human body positions breath analysis as a promising method to non-invasively and quickly detect mental stress. The present work aims to identify psychological stress biomarkers and breath profile changes after psychological interventions (PASAT or relaxing videos). In an exploratory study, 14 male participants followed a double cross-over randomized study which included two experimental sessions (stress and neutral/relax). GSR and HR were continuously measured to indicate physiological stress levels. NASA-TLX questionnaires were fulfilled to quantify individual stress. Breath samples were selectively collected by a recently developed advanced breath sampling prototype device and afterwards analyzed with a GC-IMS apparatus. Some promising results on mental stress detection were found and are presented and discussed in this paper.
KW - Breath analysis
KW - Galvanic Skin Response (GSR)
KW - Gas Chromatographic-Ion Mobility Spectrometer (GC-IMS) Paced Auditory Serial Addition Test (PASAT)
KW - Heart Rate (HR)
KW - Mental stress
KW - NASA Task Load Index (NASA-TLX)
KW - Volatile Organic Compounds (VOCs)
UR - http://www.scopus.com/inward/record.url?scp=85084795181&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-45124-0_39
DO - 10.1007/978-3-030-45124-0_39
M3 - Conference contribution
AN - SCOPUS:85084795181
SN - 978-3-030-45123-3
T3 - IFIP Advances in Information and Communication Technology
SP - 403
EP - 410
BT - Technological Innovation for Life Improvement - 11th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Farhadi, Nastaran
A2 - Lopes, Fábio
A2 - Pereira, Helena
PB - Springer
CY - Cham
T2 - 11th Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2020
Y2 - 1 July 2020 through 3 July 2020
ER -