Application and contrast in brain-computer interface Between hilbert-huang transform and wavelet transform

Manling Huang*, Pingdong Wu, Ying Liu, Luzheng Bi, Hongwei Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

41 Citations (Scopus)

Abstract

Brain-Computer Interface (BCI) can make people control machines through Electroencephalogram (EEG) which is produced by brain activities. It provides a new communication method between human and environment and extends human's ability to control machines. One of the key points of BCI system is how to abstract and distinguish different EEG features. Therefore, EEG signal processing method is the focus of BCI. This article analyzed Wavelet Transform method and Hilbert-Huang Transform (HHT) method. The residts indicate that both these two methods can abstract the main characters of the EEG. But HHT can more accurately express EEG distribution in time and frequency domain. That's because it can produce a self-adaptive basis according to the signal and obtain local and instantaneous frequency of EEG.

Original languageEnglish
Title of host publicationProceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008
Pages1706-1710
Number of pages5
DOIs
Publication statusPublished - 2008
Event9th International Conference for Young Computer Scientists, ICYCS 2008 - Zhang Jia Jie, Hunan, China
Duration: 18 Nov 200821 Nov 2008

Publication series

NameProceedings of the 9th International Conference for Young Computer Scientists, ICYCS 2008

Conference

Conference9th International Conference for Young Computer Scientists, ICYCS 2008
Country/TerritoryChina
CityZhang Jia Jie, Hunan
Period18/11/0821/11/08

Keywords

  • Brain-computer interface (BCI)
  • Electroencephalogram (EEG)
  • Hilbert-huang transform (HHT)
  • Steady-state visual evoked potential (SSVEP)
  • Wavelet transform

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