北京生物医学工程2013，Vol.32Issue(2)：134-138,5.DOI:10.3969/j.issn.1002-3208.2013.02.05.
基于平均能量耗散的睡眠分期研究
Sleep stage classification based on average energy dissipation
摘要
Abstract
Objective The quality of sleep has a great relationship with health. The result of sleep stage classification is an important indicator to measure the quality of sleep and treat sleep disorders. Methods The EEG signals about wake and the first stage of non-rapid eye movement sleep we used in this paper are extracted from the same person at the same time. After the symbolization, we compute the average energy dissipations and make the statistical analysis and multi-sample analysis. Results The average energy dissipation reflects the changes of sleep stages, which is higher in wake stage than in the first stage of non-rapid eye movement sleep, and is confirmed by statistical analysis and multi-sample experiments. Conclusions The average energy dissipation can be applied into automatic sleep stage classification. Multi-parameter analysis could achieve a higher accuracy of sleep stage classification.关键词
脑电图/平均能量耗散/睡眠分期Key words
electroencephalogram/ average energy dissipation/ sleep stage classification分类
医药卫生引用本文复制引用
焦东来,冯昊,姚凤华,孟浩,井晓茹,王俊..基于平均能量耗散的睡眠分期研究[J].北京生物医学工程,2013,32(2):134-138,5.基金项目
国家自然科学基金(61271082,61201029,61102094)、江苏省自然科学基金(BK2011759,BK2011565)资助 （61271082,61201029,61102094）
