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Àç½ÇÀÚ ¿Â¿ÄèÀûÆò°¡¿¡¼ ÀÎüÀÇ »ý¸®Àû ¹ÝÀÀÀ»°í·ÁÇÑ ½É¹Úº¯À̵µ ÃøÁ¤ ¹× ºÐ¼® ¹æ¹ý ºñ±³ ¿¬±¸ / Comparative Study on the Measurement and Analysis Methods of Heart Rate Variability in Human Body for Occupants¡¯ Thermal Comfort Evaluation by Considering Physiological Response |
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ž翡³ÊÁö(Çѱ¹Å¾翡³ÊÁöÇÐȸ ³í¹®Áý), Vol.41 No.3 (2021-06) |
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½ÃÀÛÆäÀÌÁö(79) ÃÑÆäÀÌÁö(11) |
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½É¹Úº¯À̵µ; ¿Â¿ ÄèÀû; ECG¼¾¼; ¿þ¾î·¯ºí ¼¾¼ ; Heart rate variability; Thermal comfort; ECG sensor; Wearable sensor |
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Thermal comfort in humans has been evaluated using predicted mean vote (PMV) based onfactors such as clothing and activity levels of an individual to address their satisfaction with thethermal environment. However, PMV does not consider the physiological and psychologicalfactors associated with thermal comfort. A person may feel dissatisfied in an environment that isthermally comfortable for others; this can be calculated by applying heart rate variability (HRV)to the comfort index by measuring the ECG data of the body. Currently, various types ofwearable IoT sensors are available for measuring HRV characteristics. In this study, weanalyzed the HRV parameters in the human body to evaluate the thermal comfort of theoccupant. A data measurement and analysis method using different HRV sensors was developedto determine the feasibility of HRV as a physiological response to the thermal comfort model ofthe occupant. The characteristic changes in the measured HRV values were analyzed in standardindoor and outdoor environmental conditions. |