By Topic

Data mining the relationship between psychological and physiological stress measurement using rough set analysis

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Shusaku Nomura ; Top-Runner Incubation Center for Academia-Industry Fusion, Nagaoka University of Technology, Japan ; Santoso Handri ; Yasuo Kudo

Recent behavioral medicine studies have revealed that some hormones secreted in human body sensitively changes according to his/her mental stress. Thus it is expected as an objective measurement of mental stress. However this newly developed interdisciplinary studies frequently showed inconsistent results. Some technical reasons were indicated for this discrepancy. Above all, we focused on the fact that in all these studies the only method introduced to estimate the relationship between the level of hormones and the subjective stress scale was the correlation analysis. In this study we employed Rough set analysis in place of conventional linear correlation analysis for mining the relationship between a subjective stress scale, “Profile of Mood Scale” (POMS), and a well known stress biomarker, salivary cortisol. As a developing result, numbers of items (inquiries in POMS) which relatively associated with cortisol level were found, whereas no significant linear correlation was obtained between them.

Published in:

Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on

Date of Conference:

10-13 Oct. 2010