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能够对睡眠状态进行全天候监测的系统，并根据睡眠状态来优化睡眠热环境。本研究主要研究了以下两个方面：1）用生理测量代替传统的睡眠多导仪测量，建立一种新的睡眠状态估计方法; 2）研究温度对睡眠状态的影响<st>。研究了KS熵、最大Liapunov指数和KS熵三个指标，结果表明，与慢波睡眠相比，REM睡眠时KS熵和最大Liapunov指数显著增加，证明了混沌分析对捕捉睡眠状态变化的有效<nd>性。结果表明，床内温度的变化对睡眠状态有影响，根据睡眠状态改变床内温度可以获得更舒适的睡眠。此外，在睡眠的中途醒来被澄清为通过温度的变化来进行，这表明完全睡眠控制是可能的。

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.