A comparison of minimum energy combination and canonical correlation analysis for SSVEP detection

Author

Wenya Nan ; Chi Man Wong ; Boyu Wang ; Feng Wan ; Peng Un Mak ; Pui In Mak ; Vai, M.I.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Macau, Macau, China

fYear

2011

fDate

April 27 2011-May 1 2011

Firstpage

469

Lastpage

472

Abstract

Minimum energy combination (MEC) and canonical correlation analysis (CCA) are widely used for steady-state visual evoked potential (SSVEP) based brain computer interface (BCI), since both approaches have satisfactory performance. The purpose of this paper is to provide a guideline on choice of detection method, through comparison of the performance of the two approaches from simulation data and real SSVEP data. The experiment results show that CCA has lower deviation, higher accuracy and higher signal to noise ratio than MEC.

Keywords

brain-computer interfaces; correlation methods; electroencephalography; handicapped aids; medical signal detection; medical signal processing; visual evoked potentials; SSVEP detection; accuracy; brain computer interface; canonical correlation analysis; deviation; minimum energy combination; signal-to-noise ratio; steady-state visual evoked potential; Accuracy; Brain computer interfaces; Brain modeling; Correlation; Electrodes; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Engineering (NER), 2011 5th International IEEE/EMBS Conference on

Conference_Location

Cancun

ISSN

1948-3546

Print_ISBN

978-1-4244-4140-2

Type

conf

DOI

10.1109/NER.2011.5910588

Filename

5910588