Comparison of new techniques based on EMD for control of a SSVEP-BCI

Author

Tello, Richard M. G. ; Torres MuÌˆller, Sandra Mara ; Bastos-Filho, Teodiano ; Ferreira, Andre

Author_Institution

Post-Grad. Program of Electr. Eng., UFES, Vitoria, Brazil

fYear

2014

fDate

1-4 June 2014

Firstpage

992

Lastpage

997

Abstract

This paper presents the comparation of three different feature extraction techniques based on the Empirical Mode Decomposition (EMD) for a SSVEP-BCI. This approach based on the characterization of the signal by EMD, is proposed as a novel alternative to other techniques and it was demonstrated that it exceeds both in accuracy rate and Information Transfer Rate (ITR). The experiments were performed in an offline way, and seven volunteers participated of the study. The stimulis were generated both by LCD and LEDs. The frequencies used were 8, 11, 13 and 15 Hz. The results here reported such represent the average of the seven participants, achieving a success rate of 81% and ITR of 23.32 bits/min of the total set of cases analyzed. It is further confirmed that the highest success rates and ITRs were obtained for stimulation by LEDs.

Keywords

brain-computer interfaces; electroencephalography; feature extraction; light emitting diodes; liquid crystal displays; medical signal processing; visual evoked potentials; EMD; LCD; LED; SSVEP-BCI; empirical mode decomposition; feature extraction techniques; information transfer rate; steady-state visual evoked potential; Electrodes; Brain Computer Interface (BCI); Canonical Correlation Analysis (CCA); Empirical Mode Decomposition (EMD); Information Transfer Rate (ITR); Multivariate Synchronization Index (MSI); Ruler Based Classifier; Steady-Vtate Visual Evoked Potential (SSVEP);

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on

Conference_Location

Istanbul

Type

conf

DOI

10.1109/ISIE.2014.6864747

Filename

6864747