Analysis and Research on EEG signals based on HHT Algorithm

摘要：

　　In this paper,EEG (electroencephalogram) signals are processed by HHT (Hilbert-Huang Transform).First,a new de-noising method is employed to smooth the EEG signals based on EMD (Empirical Mode Decomposition) and Monte Carol method.Then,the filtered EEG signals are analyzed by Hilbert-Huang Transform to obtain the corresponding Hilbert spectrum.Finally,useful information is extracted on the basis of Hilbert spectrum.Through simulation experiments,the results demonstrate that the Hilbert-Huang Transform can be used for EEG processing,and further illustrate that the Hilbert-Huang Transform exhibits some unique ad-vantages in dealing with EEG.

关键词： noise suppression Introduction Hilbert-Huang Transform electroencephalogram Empirical Mode Decomposition Intrinsic Mode Function Monte Carol

作者: Zhuofu Liu Qiongmei Ying Zhongming Luo Yingying Fan

作者单位: The higher educational key laboratory for Measuring & Control Technology and Instrumentations of Heilongjiang Province Harbin University of Science and Technology Harbin, Heilongjiang, China

会议类型: 国际会议

会议名称: 2016 Sixth International Conference on Instrumentation and Measurement,Computer,Communication and Control (IMCCC2016)(第六届仪器测量、计算机通信与控制国际会议)

会议地点: 哈尔滨

会议语种:英文

页码: 563-567

在线出版日期: 2016-07-21（万方平台首次上网日期，不代表论文的发表时间）