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

Bernhard Graimann; Jane E Huggins; Simon P Levine; Gert Pfurtscheller

doi:10.1109/tbme.2004.826671

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

Bernhard Graimann·Jane E Huggins·Simon P Levine·Gert Pfurtscheller

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Abstract

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.

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Action Potentials Algorithms Cerebral Cortex Electrodes, Implanted Electroencephalography Epilepsy Evoked Potentials, Motor Humans Movement Neurons Pattern Recognition, Automated Reproducibility of Results Sensitivity and Specificity User-Computer Interface Clinical Trial Journal Article Research Support, U.S. Gov't, P.H.S.Validation Study

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Bernhard Graimann, Jane E Huggins, Simon P Levine, Gert Pfurtscheller. 2004. Toward a direct brain interface based on human subdural recordings and wavelet-packet analysis.. https://doi.org/10.1109/tbme.2004.826671

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