Single-trial EEG classification for brain-computer interface using wavelet decomposition

@article{Yong2005SingletrialEC,
  title={Single-trial EEG classification for brain-computer interface using wavelet decomposition},
  author={Y. P. A. Yong and Neil J. Hurley and Guenole C. M. Silvestre},
  journal={2005 13th European Signal Processing Conference},
  year={2005},
  pages={1-4}
}
A classification system for EEG signals using wavelet decomposition to form the feature vectors is developed. Single-trial analysis loses the benefit of averaging to remove non-task related brain activity and makes it more difficult to pick out key features determining the execution of a task. Wavelet analysis is used here to localise the event-related desynchronization of voluntary movement. Classification of a self-paced typing experiment was made using wavelets for the feature selection and… CONTINUE READING
Highly Cited
This paper has 24 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 16 extracted citations

Recognition of Real and Imaginary Fist Movements Based on Dynamical Mode Decomposition Spectrum of EEG

2018 International Conference on Communication and Signal Processing (ICCSP) • 2018

An asynchronous MI-BCI system based on masterslave features

2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) • 2016

A Study and Performance Analysis of Three Paradigms of Wavelet Coefficients Combinations in Three-Class Motor Imagery Based BCI

2014 5th International Conference on Intelligent Systems, Modelling and Simulation • 2014
View 1 Excerpt

References

Publications referenced by this paper.
Showing 1-10 of 15 references

Comparison of linear, nonlinear, and feature selection methods for EEG signal classification

IEEE Transactions on Neural Systems and Rehabilitation Engineering • 2003
View 3 Excerpts
Highly Influenced

Neural mechanisms underlying control of a brain-computer-interface (bci): Simultaneous recording of bold-response and eeg

T. Hinterberger, B. Wilheim, +3 authors N. Birbaumer
2004
View 1 Excerpt

The Nature of Statistical Learning Theory

Statistics for Engineering and Information Science • 2000
View 1 Excerpt

Similar Papers

Loading similar papers…