Effects of Ambient Temperature Change on EEG, Sleep Quality and Autonomic Functions in Healthy Subjects: to Explore the Mechanism and Representable Indices for Human Comfort during Sleep

• Main Authors: Yen-Ru Chen, 陳彥儒
• Other Authors: Cheryl C.H. Yang
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/6fjzz2

碩士 === 國立陽明大學 === 腦科學研究所 === 105 === Background: Thermal environment affect the sleep quality; however, there lacks the measurements for assessment of thermal environment during sleep. The thermal comfort during sleep still needs other objective parameters. Furthermore, it is also important to provide suitable environmental temperature for different sleep stages. Therefore, we want to investigate the influences of different environmental temperature on sleep-related physiological signals. Methods: This study is divided into two parts. Firstly, to measure the changes of autonomic nerves system (ANS) functions, electroencephalogram (EEG), electrocardiogram (EKG), and subjective feelings among different temperature during awake. Secondly, to explore the effects of different temperature on objective sleep quality. Analysis: The EEG, EKG data are received by miniature polysomnography, made by K&Y lab, and using FFT to analyze the ANS function and brain activity. Result: From the first part of experiment, we find the most comfortable temperature is 26 °C. When subjects in 26 °C, the Theta Power % is higher and Beta Power % is lower than other temperature. The RR variability in 22 °C, 24 °C is significant higher than in 26 °C and 28 °C. There is negative correlation between RR variability and temperature. (r = -0.309, P<0.01). In the second part of experiment, male subjects have significant longer slow wave sleep. But there is no significant different between subjective sleep quality questionnaire and the temperature. Conclusion: Different temperature will affect subjective feeling, physiological parameters, and sleep. According to the relationship between physiological parameters and subject questionnaire, we may build up the assessment of thermal comfort indices.