| Summary: | 碩士 === 國立陽明大學 === 醫學工程研究所 === 97 === Sleep quality refers both the subjective assessment given by the subject of how restorative and undisturbed his/her sleep has been and to a series of objective measures which may be derived from polygraphic recordings. There are many factors could affect the sleep quality like personal behaviors, personal sensation, environment factors, and physiological changes. However, the most commonly used objective measure of sleep quality is an index of sleep fragmentation which may be derived from all three types of recordings. To be compared, object measures of sleep quality cost high and had not necessarily concordant results with subject ones.
The aim of this study was to set up a new household sleep quality assessing system. This system was bases on one channel EEG signal to estimate the subjective measure of sleep quality. According to the signal recording, we could define the features of slow wave, alpha wave and spindles in time scale by using zero crossing method, Schimicek algorithm and RMS-amplitude for sleep staging. We used the one channel EEG data (Fpz-Cz) which was downloaded from Europe Data Format (EDF) sleep database to test the algorithm in our system. However, the results of our system had 81.67% accuracy from database hypnogram. Furthermore, we assessed more clinical sleep parameters, including total sleep time, sleep latency and percentage of light sleep, REM sleep and deep sleep to have an evaluation of household system by using sleeping quality score.
. The sleeping quality score in normal human is 2.63±1.30 (n=8) evaluating form EDF database and the score in the patients with sleep syndrome is -0.15±2.54 (n=13) evaluating form MIT-BIH database. It was indeed different between these two groups. Therefore, 24 sets of EEG signal from 21 participators (29.13±9.47 years old, 15 males/ 6 females) were used in our experiments and separated into 2 groups by objective sleep stage. One was participator with good-sleep quality and another was participator with bad-sleep quality group. The average score of good-sleep group was 2.61±1.29 and these of bad-sleep group was -0.5±1.22. Therefore, our system could provide an effective index to assess the evaluation of sleep quality.
According this study, we set up a household sleep quality system and help people to determine their sleep problem primarily and hope could raise living quality of human.
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