DocumentCode :
992565
Title :
Brain-computer interface design for asynchronous control applications: improvements to the LF-ASD asynchronous brain switch
Author :
Borisoff, Jaimie F. ; Mason, Steve G. ; Bashashati, Ali ; Birch, Gary E.
Author_Institution :
Neil Squire Found., Burnaby, BC, Canada
Volume :
51
Issue :
6
fYear :
2004
fDate :
6/1/2004 12:00:00 AM
Firstpage :
985
Lastpage :
992
Abstract :
The low-frequency asynchronous switch design (LF-ASD) was introduced as a direct brain-computer interface (BCI) technology for asynchronous control applications. The LF-ASD operates as an asynchronous brain switch (ABS) which is activated only when a user intends control and maintains an inactive state output when the user is not meaning to control the device (i.e., they may be idle, thinking about a problem, or performing some other action). Results from LF-ASD evaluations have shown promise, although the reported error rates are too high for most practical applications. This paper presents the evaluation of four new LF-ASD designs with data collected from individuals with high-level spinal cord injuries and able-bodied subjects. These new designs incorporated electroencephalographic energy normalization and feature space dimensionality reduction. The error characteristics of the new ABS designs were significantly better than the LF-ASD design with true positive rate increases of approximately 33% for false positive rates in the range of 1%-2%. The results demonstrate that the dimensionality of the LF-ASD feature space can be reduced without performance degradation. The results also confirm previous findings that spinal cord-injured subjects can operate ABS designs to the same ability as able-bodied subjects.
Keywords :
asynchronous sequential logic; electroencephalography; feature extraction; handicapped aids; medical signal processing; neurophysiology; LF-ASD asynchronous brain switch; asynchronous control applications; brain-computer interface design; electroencephalographic energy normalization; feature space dimensionality reduction; high-level spinal cord injuries; low-frequency asynchronous switch design; Brain modeling; Communication system control; Degradation; Electrodes; Error analysis; Pattern recognition; Space technology; Spinal cord injury; Switches; Transducers; Adult; Algorithms; Brain; Communication Aids for Disabled; Electroencephalography; Evoked Potentials; Feedback; Female; Humans; Information Storage and Retrieval; Male; Middle Aged; Motor Cortex; Online Systems; Reproducibility of Results; Sensitivity and Specificity; User-Computer Interface;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2004.827078
Filename :
1300793
Link To Document :
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