A Spiking Neural Network in sEMG Feature Extraction.
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ABSTRACT:
SUBMITTER: Lobov S
PROVIDER: S-EPMC4701259 | biostudies-literature | 2015 Nov
REPOSITORIES: biostudies-literature
Publications
A Spiking Neural Network in sEMG Feature Extraction.
Lobov Sergey S Mironov Vasiliy V Kastalskiy Innokentiy I Kazantsev Victor V
Sensors (Basel, Switzerland) 20151103 11
We have developed a novel algorithm for sEMG feature extraction and classification. It is based on a hybrid network composed of spiking and artificial neurons. The spiking neuron layer with mutual inhibition was assigned as feature extractor. We demonstrate that the classification accuracy of the proposed model could reach high values comparable with existing sEMG interface systems. Moreover, the algorithm sensibility for different sEMG collecting systems characteristics was estimated. Results s ...[more]
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