会议专题

The Application Study of HHT for the Dynamic EEG Data under+Gz Acceleration

  The basic law and method of Hilbert-Huang Transformation(HHT)is introduced,and HHT is induced into the application study of dynamic EEG data under+Gz acceleration.The dynamic EEG data at static state that is when 1G and under+Gz acceleration is made time frequency analysis by using HHT method,and the analysis result is basically consistent with that of FFT,proving the feasibility of this method on dynamic EEG data analysis.It is found by contrast that,HHT is more appropriate for the analysis and treatment of nonstationary signal,moreover,the whole process is adaptive.HHT can better show the distribution of signal energy in time frequency domain by Hilbert spectrum and more clearly reflect the frequency spectrum change feature of dynamic EEG than FFT.

HHT dynamic EEG frequency spectrum characteristic

Yifeng Li Lihui Zhang Quan Wang Xiaoyang Wei Hong Wang Sanyuan Wu Baohui Li Rong Lin

Institute of Aviation Medicine,Air Force Beijing,100142,China

国际会议

2018 International Conference on Advanced Control,Automation and Artificial Intelligence (2018年先进控制、自动化与人工智能国际学术会议)

深圳

英文

173-178

2018-01-21(万方平台首次上网日期,不代表论文的发表时间)