DocumentCode :
9844
Title :
A Speedy Hybrid BCI Spelling Approach Combining P300 and SSVEP
Author :
Erwei Yin ; Zongtan Zhou ; Jun Jiang ; Fanglin Chen ; Yadong Liu ; Dewen Hu
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
Volume :
61
Issue :
2
fYear :
2014
fDate :
Feb. 2014
Firstpage :
473
Lastpage :
483
Abstract :
This study proposes a novel hybrid brain-computer interface (BCI) approach for increasing the spelling speed. In this approach, the P300 and steady-state visually evoked potential (SSVEP) detection mechanisms are devised and integrated so that the two brain signals can be used for spelling simultaneously. Specifically, the target item is identified by 2-D coordinates that are realized by the two brain patterns. The subarea/location and row/column speedy spelling paradigms were designed based on this approach. The results obtained for 14 healthy subjects demonstrate that the average online practical information transfer rate, including the time of break between selections and error correcting, achieved using our approach was 53.06 bits/min. The pilot studies suggest that our BCI approach could achieve higher spelling speed compared with the conventional P300 and SSVEP spellers.
Keywords :
brain; brain-computer interfaces; medical signal detection; medical signal processing; visual evoked potentials; 2-D coordinates; BCI approach; P300 spellers; SSVEP detection mechanisms; SSVEP spellers; brain patterns; brain signals; hybrid brain-computer interface; online practical information transfer rate; row-column speedy spelling paradigms; speedy hybrid BCI spelling approach; steady-state visually evoked potential detection; subarea-location speedy spelling paradigms; Accuracy; Ash; Calibration; Electric potential; Electroencephalography; Feature extraction; Signal processing; Brain–computer interface (BCI); P300 potential; electroencephalogram (EEG); hybrid BCI; steady-state visually evoked potential (SSVEP);
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2013.2281976
Filename :
6600847
Link To Document :
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