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Combining canonical correlation analysis and infinite reference for frequency recognition of steady-state visual evoked potential recordings: A comparison with periodogram method
Tian Y.1; Li F.1; Xu P.2; Yuan Z.2; Zhao D.1; Zhang H.1
2014
Source PublicationBio-Medical Materials and Engineering
ISSN18783619 09592989
Volume24Issue:6Pages:2901-2908
Abstract

Steady-state visual evoked potentials (SSVEP) are the visual system responses to a repetitive visual stimulus flickering with the constant frequency and of great importance in the study of brain activity using scalp electroencephalography (EEG) recordings. However, the reference influence for the investigation of SSVEP is generally not considered in previous work. In this study a new approach that combined the canonical correlation analysis with infinite reference (ICCA) was proposed to enhance the accuracy of frequency recognition of SSVEP recordings. Compared with the widely used periodogram method (PM), ICCA is able to achieve higher recognition accuracy when extracts frequency within a short span. Further, the recognition results suggested that ICCA is a very robust tool to study the brain computer interface (BCI) based on SSVEP.

KeywordBrain Computer Interface Canonical Correlation Analysis With Infinite Reference Frequency Recognition Periodogram Steady-state Visual Evoked Potentials
DOI10.3233/BME-141109
URLView the original
Indexed BySCI
WOS Research AreaEngineering ; Materials Science
WOS SubjectEngineering, Biomedical ; Materials Science, bioMaterials
WOS IDWOS:000343005700112
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Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Affiliation1.Chongqing University of Posts and Telecommunications
2.University of Electronic Science and Technology of China
3.Universidade de Macau
Recommended Citation
GB/T 7714
Tian Y.,Li F.,Xu P.,et al. Combining canonical correlation analysis and infinite reference for frequency recognition of steady-state visual evoked potential recordings: A comparison with periodogram method[J]. Bio-Medical Materials and Engineering,2014,24(6):2901-2908.
APA Tian Y.,Li F.,Xu P.,Yuan Z.,Zhao D.,&Zhang H..(2014).Combining canonical correlation analysis and infinite reference for frequency recognition of steady-state visual evoked potential recordings: A comparison with periodogram method.Bio-Medical Materials and Engineering,24(6),2901-2908.
MLA Tian Y.,et al."Combining canonical correlation analysis and infinite reference for frequency recognition of steady-state visual evoked potential recordings: A comparison with periodogram method".Bio-Medical Materials and Engineering 24.6(2014):2901-2908.
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