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Elena Leah Glassman

Pipersville, PA
Age 17

Brain-Computer Interface for the Muscularly Disabled 


Brain-Computer Interface for the Muscularly Disabled 

Muscular disability may deny computer access. Brain-computer interfaces (BCI’s) using non-invasive electroencephalographs (EEGs) may allow computer access by substituting for a keyboard and/or mouse. This invention is a program to interpret EEG signals as commands for a computer. The system uses state-of-the-art signal analysis and pattern recognition techniques to achieve internationally competitive accuracy on a BCI task, which was to predict which hand was about to move based on the subject’s EEG. In the process, a filter specialized for EEG signals was created from a simple model of the neuron action potentials the EEG measures. The first version of this filter (wavelet) tied a standard wavelet in performance, and outperformed all other standard wavelets tested. This is a critical step in the development of a working prototype.


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 We gratefully acknowledge the generous support of the Christopher Columbus Fellowship Foundation for the National Gallery of America's Young Inventors, 1999-2006

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The National Gallery for America's Young Inventors ™ is the only nationally recognized hall of fame for student inventors, established in 1993 and given permission by the adult National Inventors Hall of Fame Board in Washington, D.C. to archive and enshrine great student inventions and inventors K-12.

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