EEG Based Sleep Staging in Term Newborns

摘要：

　　This paper addresses the application of Wavelet transform for analysis of sleep stages in full-term newborns based on EEG recordings.This study encompasses two main parts: selection of the appropriate parameters of the transform and development of a multistage classification structure with focus on data representation.Obtained results may provide a reference for enhancing algorithms in the field of classification and differentiation of individual sleep states,and overcoming disadvantages of existing methods.

关键词： EEG full-term newborn wavelet transform sleep

作者: V. Radisavljevic Djordjevic V. Gerla L. Lhotska V. Krajca

作者单位: Gerstner Laboratory, Department of Cybernetics, Czech Technical University in Prague, Czech Republic Faculty of Biomedical Engineering, Czech Technical University in Prague, Czech Republic

会议类型: 国际会议

会议名称: World Congress on Medical Physics and Biomedical Engineering (2012年医学物理及生物医学工程国际会议(IFMBE))

会议地点: 北京

会议语种:英文

页码: 348-351

在线出版日期: 2012-05-26（万方平台首次上网日期，不代表论文的发表时间）