Despite clear evidence of connections between chronic stress, brain patterns, age and gender, few studies have explored stressor differences in stress detection. This paper presents a stressor-specific evaluation model conducted between stress levels and electroencephalogram(EEG) features. The overall complexity, chaos of EEG signals, and spectrum power of certain EEG bands from pre-frontal lobe(Fp1, Fp2 and Fpz) was analyzed. The results showed that different stressors can lead to varying degree of changes of frontal EEG complexity. Future study will build the stressor-specific evaluation model under considering the effects of gender and age. © Springer-Verlag 2013.
CITATION STYLE
Li, N., Hu, B., Chen, J., Peng, H., Zhao, Q., & Zhao, M. (2013). Investigation of chronic stress differences between groups exposed to three stressors and normal controls by analyzing EEG recordings. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8227 LNCS, pp. 512–521). https://doi.org/10.1007/978-3-642-42042-9_64
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