Paper Info
Title
A hybrid brain-computer interface combining the EEG and NIRS
Abstract
Compared to the conventional brain-computer interface (BCI) system, the hybrid BCI provides a more efficient way for the communication between the brain and the external device. The Electroencephalography (EEG) signal and the change of oxygenation in the brain are two prevailing approaches used in the BCI. However, single physiological signal couldn't provide enough information for a satisfied BCI. This paper proposes a hybrid BCI system based on the combination of the EEG signal and the cerebral blood oxygen changes measured by the near-infrared spectroscopy system (NIRS) to detect the state of motor imagery (MI). The result shows that the average recognition rate can achieve above 75.04% and the highest rate 91.11%, which are higher than when only using EEG or NIRS. It suggests that the proposed hybrid BCI system has a good performance in the combination of these two different signals. Further investigation may help develop better BCIs with high accuracy and significant efficiency.
Year
DOI
Venue
2012
10.1109/VECIMS.2012.6273214
VECIMS
Keywords
Field
DocType
eeg signal,hybrid bci system,oxygenation,nirs,cerebral blood oxygen,electroencephalography,brain-computer interfaces,medical signal processing,near-infrared spectroscopy system,motor imagery,hybrid bci,hybrid brain-computer interface,infrared spectroscopy,eeg,physiological signal,brain computer interfaces,detectors,accuracy,support vector machines,electrodes
Computer vision,Computer science,Brain–computer interface,Artificial intelligence,Hybrid brain computer interface,Electroencephalography,Motor imagery
Conference
Volume
Issue
ISSN
null
null
1944-9429
ISBN
Citations 
PageRank 
978-1-4577-1758-1
1
0.37
References 
Authors
5
8
Name
Order
Citations
PageRank
Lan Ma110.37
Lixin Zhang223.75
Lu Wang313.07
Minpeng Xu42717.17
Hongzhi Qi54920.61
Baikun Wan610416.90
Dong Ming710551.47
Yong Hu819738.46