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Selection of Efficient Features for Discrimination of Hand Movements from MEG Using a BCI Competition IV Data Set

The aim of a brain–computer interface (BCI) system is to establish a new communication system that translates human intentions, reflected by measures of brain signals such as magnetoencephalogram (MEG), into a control signal for an output device. In this paper, an algorithm is proposed for discrimin...

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Hlavní autoři: Hajipour Sardouie, Sepideh, Shamsollahi, Mohammad Bagher
Médium: Artigo
Jazyk:Inglês
Vydáno: Frontiers Research Foundation 2012
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC3317063/
https://ncbi.nlm.nih.gov/pubmed/22485087
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnins.2012.00042
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