微型机与应用Issue(16)：18-20,3.
基于离散小波变换的脑电信号睡眠分期研究
Research on sleep staging based on discrete wavelet transform for electroencephalogram
摘要
Abstract
This paper proposes a research for sleep staging based on electroencephalogram (EEG). By using the discrete wavelet transform (DWT), the detail components by db8 wavelet decomposition are new expression of signal, whose energies are the feature. It establishes a nonlinear support vector machine(SVM) model with Gaussian radial basis kernel function(RBF). The study shows that the program of this paper is practicable for sleep stage research, which meets the requirements for model generalization ability.关键词
睡眠分期/离散小波变换/支持向量机Key words
sleep staging/discrete wavelet transform/support vector machine分类
信息技术与安全科学引用本文复制引用
谢宏,施小南..基于离散小波变换的脑电信号睡眠分期研究[J].微型机与应用,2015,(16):18-20,3.基金项目
上海市科学技术委员会资助项目 （）
