The Comparative Analysis of Fourier Transformation and Hilbert Huang Transformation Based on Dynamic EEG Data

DOI

10.2991/msmee-17.2017.263How to use a DOI?

Keywords

Fourier transformation, Hilbert Huang transformation, dynamic EEG data, time-frequency characteristics

Abstract

The basic law and method of Fourier transformation and Hilbert Huang transformation is introduced. Taking the obtained dynamic EEG data under +Gz acceleration as an example, EEG change feature under +Gz acceleration is analyzed ,and Fourier transformation spectrum graph and Hilbert Huang transformation spectrum graph are compared, then the time-frequency characteristics of the two methods are made analysis and comparison.

Copyright

© 2017, 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/).

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TY  - CONF
AU  - Yifeng Li
AU  - Lihui Zhang
AU  - Baohui Li
AU  - Zhao Jin
AU  - Haixia Wang
AU  - Rong Lin
PY  - 2017/05
DA  - 2017/05
TI  - The Comparative Analysis of Fourier Transformation and Hilbert Huang Transformation Based on Dynamic EEG Data
BT  - Proceedings of the 2017 2nd International Conference on Materials Science, Machinery and Energy Engineering (MSMEE 2017)
PB  - Atlantis Press
SP  - 1439
EP  - 1447
SN  - 2352-5401
UR  - https://doi.org/10.2991/msmee-17.2017.263
DO  - 10.2991/msmee-17.2017.263
ID  - Li2017/05
ER  -