Multiscale entropy approach to physiological fatigue during long-term Web browsing

Physiological fatigue during long-term Web browsing was investigated by the entropy-based method. A noninvasive instrument was used to gather 8-hour continuous electrocardiography signals from subjects who were asked to answer the psychological fatigue questionnaire every 2 hours. These data were used to calculate the heart rate (HR), traditional sample entropy (SampEn), and multiscale entropy (MSE). HR decreased as the browsing task began, but increased slightly after 4.5 hours. The psychological fatigue score gradually increased, implying that more severe subjective fatigue was experienced as Web browsing proceeded. In contrast, the traditional SampEn first increased and then oscillated after 2.5 hours. The browsing time of 2.5 hours may be a clue to physiological fatigue. The MSE results showed that the cardiac dynamic systems of undergraduates and males were more complex than those of graduates and females, respectively. Thus, SampEn may have the potential for estimating physiological fatigue during long-term Web browsing. © 2009 Wiley Periodicals, Inc.

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