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Chronic Stress Evaluation using Neuro-Fuzzy  

Hiroko Takeuchi (연세대학교 의공학과)
Haruyuki Minamitani (연세대학교 의공학과)
Publication Information
Journal of Biomedical Engineering Research / v.24, no.5, 2003 , pp. 465-471 More about this Journal
Abstract
The purpose of this research was to evaluate chronic stress using physiological parameters. Wistar rats were exposed to the sound stress for 14 days. Biosignals were acquired hourly. To develop a fuzzy inference system which can integrate physiological parameters. the parameters of the system were adjusted by the adaptive neuro-fuzzy inference system. Of the training dataset, input dataset was the physiological parameters from the biosignals and output dataset was the target values from the cortisol production. Physiological parameters were integrated using the fuzzy inference system. then 24-hour results were analyzed by the Cosinor method. Chronic stress was evaluated from the degree of circadian rhythm disturbance. Suppose that the degree of stress for initial rest period is 1. Then. the degree of stress after 14-day sound stress increased to 1.37, and increased to 1.47 after the 7-day recovery period. That is, the rat was exposed to 37%-increased amount of stress by the 14-day sound and did not recover after the 7-day recovery period.
Keywords
Stress; Biosignal; Neuro-fuzzy;
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