Window function for EEG power density estimation and its application in SSVEP based BCIs

Gan Huang, Jianjun Meng, Dingguo Zhang, Xiangyang Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

A high quality power density estimation for certain frequency components in a short time is of key importance in Steady-State Visual Evoked Potentials (SSVEP) based Brain Computer Interface (BCI). In this paper, the effect of the window functions in SSVEP based BCIs is discussed. EEG signal is a typical color noise with a high energy of the low frequency component. The main findings are that (1) The spectral leakage for EEG signals has some regular patterns. An obvious oscillation with the corresponding frequency can be observed. The amplitude of the oscillation decreases with the growth of the frequency. A short analysis is also given for the leakage. (2) The leakage from the low frequency component can be effectively suppressed by the using of some windows, such as Hamming, Hann and triangle window; (3) By removing the influence of the leakage from the low frequency component with high pass filter, the classification results are mainly determined by the width of the main lobe. The rectangle window would have a better accuracy than Hamming, Hann and triangle window. Some windows constructed with a narrower main lobe width have a potential use in SSVEP based BCIs.

Original languageEnglish (US)
Title of host publicationIntelligent Robotics and Applications - 4th International Conference, ICIRA 2011, Proceedings
Pages135-144
Number of pages10
EditionPART 2
DOIs
StatePublished - Dec 1 2011
Event4th International Conference on Intelligent Robotics and Applications, ICIRA 2011 - Aachen, Germany
Duration: Dec 6 2011Dec 8 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume7102 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Conference on Intelligent Robotics and Applications, ICIRA 2011
CountryGermany
CityAachen
Period12/6/1112/8/11

Keywords

  • EEG
  • Lowpass Filter
  • SSVEP
  • STFT

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