Method for determining artificial limb movements from EEG signals

摘要

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.