| Summary: | 碩士 === 中原大學 === 生物醫學工程研究所 === 100 === Poor quality of sleeping is a common problem in modern society. Inadequate time for sleeping or bad sleep quality can cause lethargy during daily routines, and even may result in diabetes, cardiovascular, hypertension and higher cholesterin. Listening to music is a way to help people falling asleep, further the system can be used to evaluate what specific music type can help in sleep quality implement. The main objective of the study is to develop a system that can assess the sleep quality based on total sleep time, sleep efficiency and sleep latency.
This study implemented a portable sleep quality assessment system, and which is consisting of a wearable physiological signal collection device, a data analysis software, and data storage subsystem. During sleep, user can use the wearable device to collect EEG, PPG and body movement status. For the sleep quality improvement by music research, the system generates music, and calculate the sleep assessment features. Also all the data will be stored in a database for later play back and checking.
Performance on the system shows it can wireless, and losslessly transmit all the data to remote pc. These data can be real time processed for delta wave detection, and head movement sensing. With these information, the total sleep time, sleep efficiency and sleep latency can be derived. Also the sleep depth can be measured. When the sleep depth to a certain degree, the music generated by the system will be ceased. The results valid the system in sleep quality assessment and its application for evaluating sleep improvement by music.
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