期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
A Sleep Scoring System Using EEG Combined Spectral and Detrended Fluctuation Analysis Features
1
作者 Amr F. Farag shereen m. el-metwally Ahmed A. morsy 《Journal of Biomedical Science and Engineering》 2014年第8期584-592,共9页
Most of sleep disorders are diagnosed based on the sleep scoring and assessments. The purpose of this study is to combine detrended fluctuation analysis features and spectral features of single electroencephalograph (... Most of sleep disorders are diagnosed based on the sleep scoring and assessments. The purpose of this study is to combine detrended fluctuation analysis features and spectral features of single electroencephalograph (EEG) channel for the purpose of building an automated sleep staging system based on the hybrid prediction engine model. The testing results of the model were promising as the classification accuracies were 98.85%, 92.26%, 94.4%, 95.16% and 93.68% for the wake, non-rapid eye movement S1, non-rapid eye movement S2, non-rapid eye movement S3 and rapid eye movement sleep stages, respectively. The overall classification accuracy was 85.18%. We concluded that it might be possible to employ this approach to build an industrial sleep assessment system that reduced the number of channels that affected the sleep quality and the effort excreted by sleep specialists through the process of the sleep scoring. 展开更多
关键词 Automated SLEEP STAGING Detrended FLUCTUATION Analysis (DFA) Decision Tree Multi-Layer PERCEPTRON (MLP)
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部