The Application Study of HHT for the Dynamic EEG Data under +Gz Acceleration
- 10.2991/acaai-18.2018.41How to use a DOI?
- HHT; dynamic EEG; frequency spectrum characteristic
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 non-stationary 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.
- © 2018, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Yifeng Li AU - Lihui Zhang AU - Quan Wang AU - Xiaoyang Wei AU - Hong Wang AU - Sanyuan Wu AU - Baohui Li AU - Rong Lin PY - 2018/03 DA - 2018/03 TI - The Application Study of HHT for the Dynamic EEG Data under +Gz Acceleration BT - Proceedings of the 2018 International Conference on Advanced Control, Automation and Artificial Intelligence (ACAAI 2018) PB - Atlantis Press SP - 173 EP - 178 SN - 1951-6851 UR - https://doi.org/10.2991/acaai-18.2018.41 DO - 10.2991/acaai-18.2018.41 ID - Li2018/03 ER -