A Solution to harmonic frequency problem: Frequency and phase coding-based brain-computer interface

Author

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

Author_Institution

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

fYear

2011

fDate

July 31 2011-Aug. 5 2011

Firstpage

2119

Lastpage

2126

Abstract

In this paper, we propose a modified visual stimulus generation method and feature detection algorithm to design a frequency and phase coding steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI). By utilizing both frequency and phase information, we solve the harmonic frequency problem in our proposed SSVEP-BCI system. The offline experimental results show that the proposed feature detection algorithm can enhance the classification rate over 10% (from 69%±12% to 82%±8%) even though only one signal electrode is used and the harmonic frequencies (6.67Hz, 13.33Hz, 8.57Hz and 17.14Hz) are employed.

Keywords

brain-computer interfaces; encoding; medical signal processing; signal classification; visual evoked potentials; coding-based brain-computer interface; feature detection algorithm; frequency 13.33 Hz; frequency 17.14 Hz; frequency 6.67 Hz; frequency 8.57 Hz; frequency coding; harmonic frequency problem; phase coding; signal classification rate; signal electrode; steady-state visual evoked potential; visual stimulus generation method; Joints; Neural networks; USA Councils;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks (IJCNN), The 2011 International Joint Conference on

Conference_Location

San Jose, CA

ISSN

2161-4393

Print_ISBN

978-1-4244-9635-8

Type

conf

DOI

10.1109/IJCNN.2011.6033490

Filename

6033490