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EEG based Classification of Long-term Stress Using Psychological Labeling

Sanay Muhammad Umar Saeed, Syed Muhammad Anwar, Humaira Khalid, Muhammad Majid, and Ulas Bagci
2020 Sensors  
Based on these results, it is concluded that alpha asymmetry may be used as a potential bio-marker for stress classification, when labels are assigned using expert evaluation.  ...  We found that support vector machine was best suited to classify long-term human stress when used with alpha asymmetry as a feature.  ...  Stress detection based on frontal alpha asymmetry was performed using the DEAP dataset, and classification was performed using SVM, KNN, and fuzzy KNN [27] .  ... 
doi:10.3390/s20071886 pmid:32235295 pmcid:PMC7180785 fatcat:jqmmhwqooje7zmb72j26rsguge

Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring

Eyad Talal Attar, Vignesh Balasubramanian, Ersoy Subasi, Mehmet Kaya
2021 IEEE Journal of Translational Engineering in Health and Medicine  
and alpha band power asymmetry.  ...  The ability to use stress-related EEG features in combination with correlated HRV features could help improve detecting stress and monitoring the progress of stress treatments/therapies.  ...  In addition, alpha band power asymmetry (F3, F4), and alpha band power asymmetry (Fp1, Fp2) amplified during stress.  ... 
doi:10.1109/jtehm.2021.3106803 pmid:34513342 pmcid:PMC8407658 fatcat:uvllbpr5lje7hj56ieq4iurvzi

Frontal brain asymmetry, childhood maltreatment, and low-grade inflammation at midlife

Camelia E. Hostinar, Richard J. Davidson, Eileen K. Graham, Daniel K. Mroczek, Margie E. Lachman, Teresa E. Seeman, Carien M. van Reekum, Gregory E. Miller
2017 Psychoneuroendocrinology  
The present study examined the association between resting frontal EEG asymmetry and systemic, low-grade inflammation and tested the diathesis-stress model by examining whether childhood maltreatment exposure  ...  interacts with resting frontal asymmetry in explaining inflammation.  ...  The authors' efforts on this manuscript were supported by grants from the National Institute of Child Health and Human Development (F32HD078048 and R01 HD058502), the National Institute on Aging (R01 AG018436  ... 
doi:10.1016/j.psyneuen.2016.10.026 pmid:27829190 pmcid:PMC5289285 fatcat:jeatojyzfrcipewbpavc6qpory

Classification of Human Emotions from Electroencephalogram (EEG) Signal using Deep Neural Network

Abeer Al-Nafjan, Manar Hosny, Areej Al-Wabil, Yousef Al-Ohali
2017 International Journal of Advanced Computer Science and Applications  
The proposed approach is compared to state-of-the-art emotion detection systems on the same dataset.  ...  We adapted DNN to identify human emotions of a given EEG signal (DEAP dataset) from power spectral density (PSD) and frontal asymmetry features.  ...  BCI systems based on emotion detection are considered as passive/involuntary control modality.  ... 
doi:10.14569/ijacsa.2017.080955 fatcat:vikff7cvu5aprep2olefkxxpbe

Assessment of Empathy in an Affective VR Environment using EEG Signals [article]

Maryam Alimardani, Angelica M. Tinga (1 and 2) Department of Cognitive Science and Artificial Intelligence, Tilburg University, The Netherlands, Department of Human Factors in Vehicle Automation, Institute for Road Safety Research, The Netherlands)
2020 arXiv   pre-print
Results showed a significant attenuation of alpha, theta and delta asymmetry in the frontal and central areas of the brain.  ...  Moreover, a significant relationship between participants' empathy scores and their frontal alpha asymmetry at baseline was found.  ...  Based on the research discussed above, we expected to find effects in the frontal and central areas of the brain, specifically in the asymmetry of the alpha band.  ... 
arXiv:2003.10886v1 fatcat:nezlll4nabhvja47zbdmlxwaam

A Review on Mental Stress Assessment Methods Using EEG Signals

Rateb Katmah, Fares Al-Shargie, Usman Tariq, Fabio Babiloni, Fadwa Al-Mughairbi, Hasan Al-Nashash
2021 Sensors  
In this paper, we review the existing EEG signal analysis methods on the assessment of mental stress.  ...  Mental stress is one of the serious factors that lead to many health problems. Scientists and physicians have developed various tools to assess the level of mental stress in its early stages.  ...  features, KNN Acc: 67.08% GA-based method beta, gamma PSD, HOC, Hjorth outperformed PCA in stress parameters, Frontal detection and gave better Asymmetry Alpha. classification accuracy using KNN classifier  ... 
doi:10.3390/s21155043 pmid:34372280 pmcid:PMC8347831 fatcat:4erw3rq67vgrxfp3t76y5hre74

Stress assessment based on EEG univariate features and functional connectivity measures

J F Alonso, S Romero, M R Ballester, R M Antonijoan, M A Mañanas
2015 Physiological Measurement  
Many common clinical methods to assess stress are based on the presence of specific hormones and on features extracted from different signals, including electrocardiogram, blood pressure, skin temperature  ...  The aim of this paper was to assess stress using EEG-based variables obtained from univariate analysis and functional connectivity evaluation.  ...  The results corresponding to the asymmetry index based on the EEG alpha power are listed in table 1.  ... 
doi:10.1088/0967-3334/36/7/1351 pmid:26015439 fatcat:7bcztm43qvfu7ldwqubwhyevkm

Frontal lobe real-time EEG analysis using machine learning techniques for mental stress detection

Omar AlShorman, Mahmoud Masadeh, Md Belal Bin Heyat, Faijan Akhtar, Hossam Almahasneh, Ghulam Md Ashraf, Athanasios Alexiou
2022 Journal of Integrative Neuroscience  
Accordingly, previous methods have been conducted to detect mental stress based on biological and biochemical effects.  ...  In this research study, the frontal lobes EEG spectrum analysis is applied to detect mental stress.  ...  [54] proposed a stress detection technique based on power ratio for the frontal lobe using EEG.  ... 
doi:10.31083/j.jin2101020 pmid:35164456 fatcat:kygaxfte4nh2ldup5ar4bqe62q

Multi-Parameter Physiological State Monitoring in Target Detection Under Real-World Settings

Yang Chang, Congying He, Bo-Yu Tsai, Li-Wei Ko
2021 Frontiers in Human Neuroscience  
In this study, we developed a physiological state indicator with five parameters that reflect the subject's real-time physiological states based on online EEG signal processing.  ...  such as one executing motor imagery tasks.  ...  Studies based on EEG indicate that attention can be estimated by detecting changes in alpha power activity, especially in the frontal lobe which is known to be responsible in regulating concentration  ... 
doi:10.3389/fnhum.2021.785562 pmid:35002658 pmcid:PMC8727696 fatcat:eyg64uxvjjdt5opuyahe35f6y4

Electroencephalography Correlates of Well-Being Using a Low-Cost Wearable System

Cédric Cannard, Helané Wahbeh, Arnaud Delorme
2021 Frontiers in Human Neuroscience  
Robust linear regression models did not reveal an association between well-being and alpha (8–13 Hz) asymmetry in the frontal regions, nor with the CoG.  ...  We then examined associations between well-being levels and the alpha center of gravity (CoG) as well as trait EEG asymmetries, in the frontal and temporoparietal (TP) areas.  ...  Moynihan et al. (2013) found that mindfulness-based stress reduction produced significant changes in executive and immune functions, as well as in left frontal alpha asymmetry scores.  ... 
doi:10.3389/fnhum.2021.745135 pmid:35002651 pmcid:PMC8740323 fatcat:45gryv3yivgbtb2djuri4cxxua

Discriminative power of EEG-based biomarkers in major depressive disorder: A systematic review

Claudia Greco, Olimpia Matarazzo, Gennaro Cordasco, Alessandro Vinciarelli, Zoraida Callejas, Anna Esposito
2021 IEEE Access  
Currently, the diagnosis of major depressive disorder (MDD) and its subtypes is mainly based on subjective assessments and self-reported measures.  ...  The initial papers' screening was based on titles and abstracts; then full texts of the identified articles were examined, and a synthesis of findings was developed using tables and thematic analysis.  ...  Kemp and colleagues [53] compared frontal and parietotemporal alpha asymmetry scores in MDD patients, post-traumatic stress disorder (PTDS) patients and healthy controls.  ... 
doi:10.1109/access.2021.3103047 fatcat:hrhog3ucsvc4bj26nnds32feya

A Review of Mental Stress and EEG Band Power

2022 International Journal of Nanotechnology and Nanomedicine  
This review demonstrates the power of frequency bands for mental stress and the behaviors of frequency bands based on medical and research experience.  ...  The autonomic nervous system is activated during mental stress. Posttraumatic stress disorder and Alzheimer's diseasearecommon brain stress disorders.  ...  The beta must be superior on the left than on the right [71] . Heightened beta asymmetry in the right hemisphere is indicative of anxiety or stress [72] .  ... 
doi:10.33140/ijnn.07.02.01 fatcat:pxplc56x4ba6zftp6hlsgzjhea

Biomarkers of intergenerational risk for depression: A review of mechanisms in longitudinal high-risk (LHR) studies

Rachel H. Jacobs, Jonathan L. Orr, Jennifer R. Gowins, Erika E. Forbes, Scott A. Langenecker
2015 Journal of Affective Disorders  
Limitations: Our review is based on relatively narrow inclusion and exclusion criteria.  ...  The inclusion of biomarkers of risk may lead to enhanced program efficiency by targeting those at greatest risk.  ...  Acknowledgements This paper is based on the following symposium presented at the 2012 annual meeting of the Society of Biological Psychiatry: M.M. Weissman & R.H.  ... 
doi:10.1016/j.jad.2015.01.038 pmid:25687188 pmcid:PMC4405143 fatcat:tdldobyqurc2vdmo4aubqvgfri

THE EFFECTS OF MUSIC ON STRESS

Soma Chaudhuri
2021 Zenodo  
Music has been reported to have direct effects on nervous system, immunological and endocrine system of the human body.  ...  Discussions on stress and its effects on human health are followed by the quantification of stress by EEG for identification and classification of stress.  ...  also been used as a feature to detect unique patterns of human stress ( N Sulaiman, et al. 2011 ).  ... 
doi:10.5281/zenodo.4626861 fatcat:os3cicuzabhmxi6nhzhbupz2pq

Machine Learning-Based Detection of High Trait Anxiety Using Frontal Asymmetry Characteristics in Resting-State EEG Recordings

Jan Gross, Filmon Mesgun, Janek Frick, Hermann Baumgartl, Ricardo Buettner
2021 Pacific Asia Conference on Information Systems  
Due to the rising prevalence and severe influence on society's physiological and mental health, anxiety has emerged globally as one of the most severe disorders.  ...  This study proposes a machine learning model that uses unfolded EEG spectra and frontal asym metric brain activity characteristics to diagnose anxiety tendencies.  ...  Acknowledgements We want to thank the reviewers and minitrack chairs, who provided very helpful comments on the refine ment of this paper.  ... 
dblp:conf/pacis/GrossMFBB21 fatcat:yxnzd62sjrdhtczfqm4s63lv4m
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