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Online Artifact Removal for Brain-Computer Interfaces Using Support Vector Machines and Blind Source Separation

We propose a combination of blind source separation (BSS) and independent component analysis (ICA) (signal decomposition into artifacts and nonartifacts) with support vector machines (SVMs) (automatic classification) that are designed for online usage. In order to select a suitable BSS/ICA method, t...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
मुख्य लेखकों: Halder, Sebastian, Bensch, Michael, Mellinger, Jürgen, Bogdan, Martin, Kübler, Andrea, Birbaumer, Niels, Rosenstiel, Wolfgang
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: Hindawi Publishing Corporation 2007
विषय:
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC2234090/
https://ncbi.nlm.nih.gov/pubmed/18288259
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2007/82069
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