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A survey on EMD sensitivity to SNR for EEG feature extraction in BCI application

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3 Author(s)
Arasteh, Abdollah ; Dept. of Biomed. Eng., Amirkabir Univ. of Technol., Tehran, Iran ; Janghorbani, Amin ; Moradi, M.H.

One of the most complicated biological signals is EEG which its processing has vast applications in Brain-Computer Interface (BCI) Speller is very important. For P300 detection in EEG, miscellaneous Single-Trial and Multi-Trial methods have been introduced, with their own advantages and disadvantages. Our purpose in this paper was to investigate Empirical Mode Decomposition-Dependent (EMD-Dependent) methods of feature extraction sensitivity to Signal to Noise Ratio (SNR) of original signal.

Published in:

Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International

Date of Conference:

16-18 Dec. 2010