Abstract
Stress is one of the most common factors of everyday life. There is a plethora of different measures used to determine the physiological responses to stress. One of the most commonly used is the electroencephalogram (EEG). Power of various frequency bands in the EEG is often correlated with mental states of the measured subject. Particularly, decrease in the alpha band and increase in the beta range is related to the stressed, active state. In this research, a methodology to compare this common measures to the approach based on the instantaneous frequency’s slope (ifs) was proposed.
Generally, proposed methodology is as follows. Subject, while listening to quiet rain noise, is focused on solving very easy math problems (incrementing or decrementing one-digit numbers). Suddenly, loud one-second white noise is played in the earphones of a subject. This is treated as a stressor. For the time of the study, a 14-channel EEG monitor is measuring activity of the brain.
Obtained preliminary results, based on five participants, indicated that the ifs can be more statistically significant than common approaches in measuring the dynamics of the stress response.
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Author would like to express gratitude for all the participants which took part in this study.
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Łysiak, A. (2021). Instantaneous Frequency of the EEG as a Stress Measure - A Preliminary Research. In: Paszkiel, S. (eds) Control, Computer Engineering and Neuroscience. ICBCI 2021. Advances in Intelligent Systems and Computing, vol 1362. Springer, Cham. https://doi.org/10.1007/978-3-030-72254-8_11
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