Title :
Automatic prediction of sleep level during day time short nap
Author :
Wang, Bei ; Fu, Xiuyan ; Wang, Xingyu ; Nakamura, Masatoshi
Author_Institution :
Key Lab. of Adv. Control & Optimization for Chem. Processes, East China Univ. of Sci. & Technol., Shanghai, China
Abstract :
The day time nap sleep has the significant prophylactic function to our health and working efficiency. In this study, the prediction of sleep level for day time short nap was investigated. The ultimate purpose was to develop the automatic analysis technique for nap sleep interpretation. Firstly, the conditional probabilities of sleep stage awake, stage 1 and stage 2 were calculated for the consecutive data segments based on a set of parameters. Secondly, the sleep level of next data segment was predicted according to the obtained conditional probabilities. The prediction of sleep level reflected the future sleep tendency and was helpful for automatic nap sleep interpretation.
Keywords :
electro-oculography; electroencephalography; electromyography; medical signal processing; sleep; EEGs; EMG; EOGs; automatic analysis technique; conditional probabilities; consecutive data segments; day time short nap; electroencephalogram; electromyogram; electrooculargram; prophylactic function; sleep level; sleep stage awake; sleep tendency; working efficiency; Artificial intelligence; Electromyography; Automatic prediction; Conditional probability; Day time short nap; Sleep level;
Conference_Titel :
Complex Medical Engineering (CME), 2011 IEEE/ICME International Conference on
Conference_Location :
Harbin Heilongjiang
Print_ISBN :
978-1-4244-9323-4
DOI :
10.1109/ICCME.2011.5876739
