Effects of Life Stress and Depression in Undergraduates on Suicidal Ideation

백선숙,; 하은호,; 류언나,; 송미승,

doi:10.4094/jkachn.2012.18.4.157

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…The SS value was computed based on the slope of the linear regression in the respective time window. All feature values were scaled between 0 and 1 using min-max normalization to improve classification performance (1).…”

Section: Feature Extraction and Classificationmentioning

confidence: 99%

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Effects of Daily Stress in Mental State Classification

Park

Dong

2020

IEEE Access

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An external stimulus, event, or environment that stresses an individual is called a stressor. Many mental stress detection studies have been focused on the discrimination of the mental state with and without the experimental stressor. However, the mental state in the absence of experimental stressors may not represent accurately the nonstress (baseline) state because people inherently experience considerable stress in their daily lives. Therefore, we assumed that stress detection could be improved more accurately by considering the daily stress. In this study, functional near-infrared spectroscopy (fNIRS) was measured in 41 healthy participants to quantify their prefrontal cortical oxygenation during performing a cognitive task as an experimental stressor, considering individual daily stress level based on the self-report. We then extracted six signal features, including the slope, mean, standard deviation, peak, skewness, and kurtosis of the oxygenated hemoglobin concentration. Using various feature combinations and time windows, we successfully managed to classify daily stress (high/low) and the mental state (task/rest) with support vector machine classifiers. Specifically, individual daily stress level can be easily discriminated with signal features from fNIRS. Moreover, mental state classification performance improved significantly when the daily stress level was handled separately. The findings of this study show the feasibility of the fNIRS-based daily stress classification and can be used in the future to design a robust mental stress management system for the assessment of daily stress in individuals.INDEX TERMS daily stress, functional near-infrared spectroscopy, stroop word color task, mental stress classification.

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Section: Feature Extraction and Classificationmentioning

confidence: 99%

“…Younger generations in their 20s are stressed every day owing to various academic, employment and office syndrome problems they face [1][2]. However, it is difficult for younger generations to be aware of the severity of mental stress on their health.…”

Section: Introductionmentioning

confidence: 99%