利用结构时间剖面自动检测新生儿脑电图中的睡眠阶段。
Automatic detection of sleep stages in neonatal EEG using the structural time profiles.
作者信息
Krajca V, Petranek S, Paul K, Matousek M, Mohylova J, Lhotska L
机构信息
Faculty Hospital Bulovka, Deprtment of Neurology, Prague, Czech Republic.
出版信息
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:6014-6. doi: 10.1109/IEMBS.2005.1615862.
PMID:17281632
Abstract
The new method for automatic sleep stages detection in neonatal EEG was developed. The procedure is based on processing of time profiles computed by adaptive segmentation and subsequent classification of signal graphoelements. The time profiles, functions of the class membership in the course of time, reflect the dynamic EEG structure and may be used for indication of changes in the neonatal sleep stages.
摘要
开发了一种用于新生儿脑电图自动睡眠阶段检测的新方法。该程序基于对通过自适应分割计算出的时间轮廓进行处理，以及随后对信号图形元素进行分类。时间轮廓，即类成员随时间变化的函数，反映了脑电图的动态结构，可用于指示新生儿睡眠阶段的变化。
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