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Mental stress assessment using simultaneous measurement of EEG and fNIRS
Open accessAbstract
Previous studies reported mental stress as one of the major contributing factors leading to various diseases such as heart attack, depression and stroke. An accurate stress assessment method may thus be of importance to clinical intervention and disease prevention. We propose a joint independent component analysis (jICA) based approach to fuse simultaneous measurement of electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) on the prefrontal cortex (PFC) as a means of stress assessment. For the purpose of this study, stress was induced by using an established mental arithmetic task under time pressure with negative feedback. The induction of mental stress was confirmed by salivary alpha amylase test. Experiment results showed that the proposed fusion of EEG and fNIRS measurements improves the classification accuracy of mental stress by +3.4% compared to EEG alone and +11% compared to fNIRS alone. Similar improvements were also observed in sensitivity and specificity of proposed approach over unimodal EEG/fNIRS. Our study suggests that combination of EEG (frontal alpha rhythm) and fNIRS (concentration change of oxygenated hemoglobin) could be a potential means to assess mental stress objectively.
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Cited by
Review on Psychological Stress Detection Using Biosignals
Giannakakis, G., Grigoriadis, D., Giannakaki, K., Simantiraki, O., Roniotis, A., & Tsiknakis, M. (2022) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2019.2927337 · Cited by 764
Feature Extraction and Classification Methods for Hybrid fNIRS-EEG Brain-Computer Interfaces
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Human stress classification during public speaking using physiological signals
Arsalan, A., & Majid, M. (2021) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2021.104377 · Cited by 77
Kesedzic, I., Sarlija, M., Bozek, J., Popovic, S., & Cosic, K. (2021) · IEEE Sensors Journal · doi:10.1109/jsen.2020.3038032 · Cited by 29
Metadata
- Authors
- Al-Shargie, F., Kiguchi, M., Badruddin, N., Dass, S. C., Hani, A. F. M., & Tang, T. B.
- Venue
- Biomedical Optics Express
- Publisher
- Optica Publishing Group
- Published
- 2016-09-06
- Volume
- 7
- Issue
- 10
- Pages
- 3882
- ISSN
- 2156-7085 (ISSN-L)
- OpenAlex
- W2528351778
- Cited by
- 284
- References
- 100
- FWCI
- 24.19
- Type
- journal article
- Language
- en
- Open access
- gold
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- Al-Shargie, F., Kiguchi, M., Badruddin, N., Dass, S. C., Hani, A. F. M., & Tang, T. B. (2016). Mental stress assessment using simultaneous measurement of EEG and fNIRS. Biomedical Optics Express. https://doi.org/10.1364/boe.7.003882
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
