Combining multiple human physiological signals using fuzzy logic to determine stress caused by battle dress uniforms

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Abstract

Abstract: This study presents a novel stress index for clothing using physiological signals to estimate stress induced by battle dress uniforms (BDU) during physical activity. The approach uses a fuzzy logic-based nonlinear mapping to compute the stress from physiological signals. Ten healthy men performed a battery of physical activities in a controlled environment. Heart rate (HR), respiration rate (RR), skin temperature (ST), and galvanic skin response (GSR) were measured continuously for the participants during activity wearing three kinds of clothing (two BDUs and a control garment). The individual physiological responses were combined using a fuzzy-logic system to derive a stress measure called Clothed Activity Stress Index (CASI). Repeated measures ANOVA showed that the garments significantly (α =.05) affected the HR (p

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Periyaswamy, T., & Balasubramanian, M. (2022). Combining multiple human physiological signals using fuzzy logic to determine stress caused by battle dress uniforms. SN Applied Sciences, 4(11). https://doi.org/10.1007/s42452-022-05199-2

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