- Poster presentation
- Open access
- Published:
Proposal of methodology for analysis of stress level based on EEG signals
BMC Proceedings volume 8, Article number: P62 (2014)
Stress can affect all people, regardless of age, gender or ethnicity. The human body utilizes stress as a response in three different situations, classified according to the way it generates physical, mental or emotional stress. It is important to notice that the nervous system evokes the same physiological responses, no matter what type of stress, and those responses cause a change of level in physical and cognitive performance. This paper presents an analysis methodology of the stress level using brain's signals captured by Electroencephalogram (EEG).
Professionals from Vitoria´s Fire Department, members of Projeto VIDA participate as volunteers. The EEG signals are captured through a cap placed over the volunteer's head in order to capture the brain´s signals, using electrodes specifically placed in the frontal cortex at positions Fp1, Fp2, F3 and F4. The results are analyzed together with the peripheral physiological signals, such as: heart beat rate (ECG), peripheral blood flow (at fingers and toes), skin conductance, breath rate and body temperature. A validation study is conducted through a comparison of data available in literature, as well as with evaluation conducted by a psychologist.
The results are analyzed in order to get a correlation between EEG signals and physical mental or emotional stress.
References
Hosseini SA, Khalilzadeh MA: Emotional Stress Recognition System Using EEG and Psychophysiological Signals: Using New Labelling Process of EEG Signals in Emotional Stress State. 2010, International Conference on Biomedical Engineering and Computer Science (ICBECS), 1-6. doi: 10.1109/ICBECS.2010.5462520
Phan KL, Wager T, Taylor SF, Liberzon I: Functonal neuroanatomy of emotion, a meta-analysis of emotion activation studies in PET and fMRI. Neuroimage. 2002, 16 (2): 331-348. 10.1006/nimg.2002.1087.
Reisman S: Measurement of physiological stress. Bioengineering Conference, 1997. Proceedings of the IEEE. 1997, 21-23. 21-22 May 1997 doi: 10.1109/NEBC.1997.594939, 23rd Northeast
Lewis M, Haviland-Jones JM, Barrett LF: Handbook of Emotions. 2010, New York: Guilford Press, 3
Molavi M, Bin Yunus J, Akbari E: Comparison of Different Methods for Emotion Classification. Modelling Symposium (AMS). 2012, Sixth Asia, 50-53. 29-31 May 2012 doi: 10.1109/AMS.2012.53
Author information
Authors and Affiliations
Rights and permissions
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
About this article
Cite this article
Pomer-Escher, A., Bastos-Filho, T. & Souza, M.D. Proposal of methodology for analysis of stress level based on EEG signals. BMC Proc 8 (Suppl 4), P62 (2014). https://doi.org/10.1186/1753-6561-8-S4-P62
Published:
DOI: https://doi.org/10.1186/1753-6561-8-S4-P62