DocumentCode
2548432
Title
A survey on EMD sensitivity to SNR for EEG feature extraction in BCI application
Author
Arasteh, Abdollah ; Janghorbani, Amin ; Moradi, Mohammad Hassan
Author_Institution
Dept. of Biomed. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear
2010
fDate
16-18 Dec. 2010
Firstpage
175
Lastpage
179
Abstract
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.
Keywords
brain-computer interfaces; electroencephalography; feature extraction; medical signal processing; BCI application; Brain-Computer Interface; EEG feature extraction; EMD sensitivity; Empirical Mode Decomposition; Multi-Trial method; Single-Trial method; Biomedical engineering; Conferences;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International
Conference_Location
Cairo
ISSN
2156-6097
Print_ISBN
978-1-4244-7168-3
Type
conf
DOI
10.1109/CIBEC.2010.5716061
Filename
5716061
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