Analysis and Assessment of Sleep Quality Detection Algorithm based on Wearable Device

• Main Authors: Pin-Yi Lin, 林秤毅
• Other Authors: Ren-Guey Lee
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/w32z5s

碩士 === 國立臺北科技大學 === 電腦與通訊研究所 === 102 === Sleeping is important in people’s life, which is occupy one-third of life. People have to go to the hospital to detect the sleep disorder when something bad during sleep. Due to the complex procedure, we expect to develop a new system to detect sleep quality, which used few physiological parameters. Considering the limitations of wearable devices, the algorithms using relatively simple time-domain analysis. In addition, the system will combine with android environment to help people to understand self-condition easily. The overall hit rate was above 70% of sleep stage detection which was compared to MIT-BIH sleep database. And the MAPE of sleep efficiency verification with other system were 0.082% and 0.1365%. Compared to other systems, it can offer more accurate information.