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Title:
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AN APPLICATION OF ROUGH SET ANALYSIS TO A PSYCHO-PHYSIOLOGICAL STRESS RESEARCH |
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Author(s):
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Shusaku Nomura , Santoso Handri , Yasuo Kudo |
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ISBN:
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978-972-8924-82-9 |
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Editors:
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Gunilla Bradley and Piet Kommers |
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Year:
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2009 |
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Edition:
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Single |
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Keywords:
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Rough set, POMS, IgA, Stress. |
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Type:
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Full Paper |
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First Page:
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91 |
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Last Page:
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97 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This study aims at an application of rough set theory to illustrate the relationship between human psychological and
physiological states. Recent behavioral medicine studies have revealed that various human secretory substances change
according to mental states. These substances, the hormones and immune substances, show temporal increase against
mental stress. Thus, it is frequently introduced as biomarkers of mental stress. The relationship between these biomarkers
and human chronic stresses or daily mental states was also suggested in the previous studies. However the results of these
studies were sometimes inconsistent with each other. Some technical reasons were indicated for this discrepancy. Among
that, we focused on the analysis technique investigating the relationship between human psychological state, i.e., scores
of a psychological scale, and physiological state, i.e., level of the secretory biomarkers. In this paper, we introduced
Rough Set analysis method in place of a conventional linear correlation analysis method. In the experiment, the salivary
secretory immunoglobulin A (IgA), which is a major stress biomarker, of 20 male students was assessed as a
physiological biomarker. Also, 65 items of psychological mood scale, “profile of mood states” (POMS), was assessed as
a psychological index. The result showed that some items strongly related with the IgA level, while few significant linear
correlation was obtained among them. |
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