Title :
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
fDate :
July 31 2011-Aug. 5 2011
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;
Conference_Titel :
Neural Networks (IJCNN), The 2011 International Joint Conference on
Conference_Location :
San Jose, CA
Print_ISBN :
978-1-4244-9635-8
DOI :
10.1109/IJCNN.2011.6033490
