IEEE trans: The relationship between emotional state, sleep quality, and resting state EEG: a research for graduate students

Students are a high-risk group experiencing the negative effects of stress, and stress is often accompanied by sleep deprivation
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According to a 2016 survey of 95,761 American college students, more than half of the participants reported that they had long-term stress, fatigue, and sleepiness during daytime activities; 30.

Concerns about academic performance, post-graduation plans and competitive pressures, as well as social insecurity, financial difficulties, and expectations from families are all causes of emotional fragility of students
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Long-term cognitive load may lead to an acute mental disorder called mental or neurological breakdown, which usually occurs in severe stress-induced anxiety or depression, and is characterized by the inability to complete daily activities and professional duties

Portable and wireless consumer-grade EEG devices have gained particular popularity in the past decade, because of the development of wearable sensor technology and the availability of computing power for the application of advanced signal processing algorithms
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Since the obvious changes in EEG signal characteristics are accompanied by changes in brain dynamics, it is possible to identify these changes by designing a passive or implicit brain-computer interface that can predict the cognitive state of the operator

This study used the Daily Sampling System (DSS) to longitudinally monitor the self-assessment fatigue, stress, and sleep quality of a group of graduate students throughout the semester.

DSS index change over time

This study collected 1835 daily reports from 18 subjects and 94 combined DASS-21 and EEG data sets.
The number of report samples for each subject (mean ± standard deviation) was 102 ± 20.
And 5.
2±1.
9
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The subjects began to participate in data collection when they were recruited

The signal quality of the EEG data collected in this study was checked, and 93 records were selected for subsequent analysis
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The obtained EEG samples were converted into success rate spectra with FFT, with a step size of 1hz in the range of 1-50hz, and grouped according to the relevant DASS-21 score

EEG test results of graduate students

In short, the subjective fatigue level of graduate students is positively correlated with stress and daytime sleepiness, and negatively correlated with sleep quality and duration, and mood and alertness when waking up
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The increase in depression, anxiety and stress levels in the experimental group was accompanied by significant changes in the power of the resting state EEG spectrum, indicating that there are electrophysiological markers that can be used to detect emotional arousal related states

In short, the subjective fatigue level of graduate students is positively correlated with stress and daytime sleepiness, and negatively correlated with sleep quality and duration, and mood and alertness when waking up

O.
Komarov, L.
-W.
Ko and T.
-P.
Jung, " Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students ," in  Associations Among Emotional State, Sleep Quality , the EEG and the Spectra Resting-State: A Longitudinal Study Graduate Students.
in the IEEE Transactions oN Neural Systems and Rehabilitation Engineering , Vol 28, NO.
4, PP 795-804, April 2020, DOI:.
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10.
1109 / TNSRE.
2020.
2972812 here message