Correlation Method with Pre-Tuning Using CCA for SSVEP-Based Brain-Computer Interface System

Alirezaei Alavijeh, Marzieh; Maleki, Ali

doi:10.22041/ijbme.2017.58581.1191

Document Type : Technical note

Authors

¹ M.SC. Student, Bioelectric Department, Semnan University, Semnan, Iran

² Assistant Professor, Bioelectric Department, Semnan University, Semnan, Iran

https://doi.org/10.22041/ijbme.2017.58581.1191

Abstract

Brain-computer interface system based on Steady-state visual evoked potentials is taken into consideration due to advantages such as simplicity of installation and use of the system, enough accurate and acceptable Information transfer rate. In addition to these benefits, short processing time is also an important criterion to have a system that is applicable in real life and have the ability to use online. In this paper, a method based on standard CCA have been present for recognition of stimulus frequency. The proposed method is performed in two stages, offline and online. In the offline stage, the standard CCA is applied to the SSVEP and sin-cos reference signals. After that, template signals are constructed using weights that generate maximum correlation. In online stage, cross correlation between test signal and each template signals are calculated and the stimulus frequency is recognized. The greater accuracy of frequency recognition and less calculation time at the same time are shown by stimulation result.

Keywords

Main Subjects

Bioelectrics

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Iranian Journal of Biomedical Engineering

Correlation Method with Pre-Tuning Using CCA for SSVEP-Based Brain-Computer Interface System

References

References

Volume 10, Issue 2
August 2016
Pages 187-196

Correlation Method with Pre-Tuning Using CCA for SSVEP-Based Brain-Computer Interface System

References

References

Volume 10, Issue 2August 2016Pages 187-196

Volume 10, Issue 2
August 2016
Pages 187-196