METHOD TO DETERMINE AN ARTIFICIAL LIMB MOVEMENT FROM AN ELECTROENCEPHALOGRAPHIC SIGNAL
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United States of America Patent
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Issued Date -
Feb 21, 2013
app pub date -
Jan 11, 2011
filing date -
Jan 11, 2010
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Abandoned
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Abstract
The present invention is related to a method to determine an artificial limb movement comprising the steps of: providing an EEG input training dataset; providing an output prosthetic limb movement training dataset corresponding to said EEG input training dataset; providing a dynamic recurrent neural network (DRNN) comprising a convergence acceleration algorithm; training said DRNN with said input and output datasets to define synaptic weights Wi-j, between neurons of said DRNN; determining from any EEG input dataset the artificial limb movement using the output generated by the trained DRNN in response to said EEG input dataset.
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