A comparison of success and time consumption of the most common methods for detection of the SSVEP

Author

Smondrk, Maros ; Vozda, Michal ; Krohova, Jana ; Hrvolova, Barbora ; Peterek, Tomas ; Penhaker, Marek

Author_Institution

Dept. of Cybern. & Biomed. Eng., VSB-Tech. Univ. of Ostrava, Ostrava, Czech Republic

fYear

2013

fDate

2-4 July 2013

Firstpage

657

Lastpage

661

Abstract

The steady state visual evoked potential (SSVEP) is one of the most discussed method for the brain computer interface (BCI). In this paper, performance of the online SSVEP detection methods was compared. Two parametric and two non-parametric algorithms were used: the classical power spectrum estimation method (PS), the power spectrum estimation using the AR model, the canonical correlation analysis (CCA) and the continuous wavelet transform (CWT). The success of the SSVEP detection and the time consumption of each method were compared.

Keywords

brain-computer interfaces; electroencephalography; eye; AR model; SSVEP detection; brain computer interface; canonical correlation analysis; classical power spectrum estimation method; continuous wavelet transform; nonparametric algorithm; steady state visual evoked potential; time consumption; Accuracy; Autoregressive processes; Brain modeling; Continuous wavelet transforms; Correlation; Mathematical model; Spectral analysis; Steady-state visual evoked potential; brain computer interface; canonical correlation analysis; continuous wavelet transform; electroencephalogram; power spectrum estimation method;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications and Signal Processing (TSP), 2013 36th International Conference on

Conference_Location

Rome

Print_ISBN

978-1-4799-0402-0

Type

conf

DOI

10.1109/TSP.2013.6614018

Filename

6614018