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
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;
Conference_Titel :
Biomedical Engineering Conference (CIBEC), 2010 5th Cairo International
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-7168-3
DOI :
10.1109/CIBEC.2010.5716061
