Monitoring of Biosignals during Sleeping and Estimation of Sleep State for the its Control

本研究的目的是开发一种可以监测睡眠状态的系统，并根据睡眠状态调整最佳的睡眠热环境。本研究主要探讨以下两个议题；1)发展新的睡眠状态估计方法，用生理测量代替传统的睡眠测谎仪测量；2)检查温度对睡眠状态的影响。对于1^<st>议程，我们使用了睡眠期间心率变异性的混沌分析。对KS熵、最大Liapunov指数和KS熵三个指标进行了检测，结果表明，在REM睡眠期间，KS熵和最大Liapunov指数较静醒睡眠显著增加，证明混沌分析可用于捕捉睡眠状态的变化。对于2^<和>议程，我们通过改变被褥内部的温度来检查睡眠状态的变化。结果表明，床上温度的变化会影响睡眠状态。这些结果表明，根据睡眠状态改变被褥内的温度可以获得更舒适的睡眠。另外，阐明了在睡眠中途唤醒是通过温度的变化来进行的，说明完全控制睡眠是可能的。

The purpose of this study is to develop a system which can monitor the sleep state all night, and make sleep thermal environment optimum according to the sleep state. In this study, following two agenda were examined ; 1) development of new sleep state estimation method using physiological measurement in place of conventional sleep polygraph measurement, 2) examination of the influence of temperature on the sleep state.As to the 1^<st> agenda we used chaotic analysis of heart rate variability during sleeping. Three indices of the KS entropy, the maximum Liapunov index and the KS entropy were examined and it was shows that the KS entropy and the maximum Liapunov index significantly increased during REM sleep in comparison with SWS sleep and it was proven that chaos analysis is useful to catch the change of sleep state.As to the 2^<nd> agenda we examined the change in sleep state by changing the temperature inside bed clothes. The result showed that the temperature change in the bed affected sleep state.These results show that more comfortable sleep can be attained by changing the temperature inside bed clothes according to sleep state. In addition, wake up in the halfway of sleep was clarified to be carried out by the change of temperature, and it was shows that total sleep control possible is possible.