Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis

Highly accurate asynchronous detection of movement related patterns in individual electrocorticogram channels has been shown using detection based on either event-related potentials (ERPs) or event-related desynchronization and synchronization (ERD/ERS). A method using wavelet-packet features select...

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Bibliographic Details
Published in:IEEE transactions on biomedical engineering 2004-06, Vol.51 (6), p.954-962
Main Authors: Graimann, B., Huggins, J.E., Levine, S.P., Pfurtscheller, G.
Format: Article
Language:English
Subjects:
Action Potentials
Algorithms
Biomedical engineering
Brain
Cerebral Cortex - physiopathology
Communication system control
Computer interfaces
Electrodes
Electrodes, Implanted
Electroencephalography
Electroencephalography - methods
Enterprise resource planning
Epilepsy - physiopathology
Evoked Potentials, Motor
Humans
Movement
Neurons
Pattern Recognition, Automated
Reproducibility of Results
Sensitivity and Specificity
Switches
User-Computer Interface
Wavelet packets
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Summary:Highly accurate asynchronous detection of movement related patterns in individual electrocorticogram channels has been shown using detection based on either event-related potentials (ERPs) or event-related desynchronization and synchronization (ERD/ERS). A method using wavelet-packet features selected with a genetic algorithm was proposed to simultaneously detect ERP and ERD/ERS and was tested on data from seven subjects and four motor tasks. The proposed wavelet method performed better than previous methods with perfect detection for four subject/task combinations and hit percentages greater than 90% with false positive percentages less than 15% for at least one task for all seven subjects.
ISSN:0018-9294
1558-2531
DOI:10.1109/TBME.2004.826671