A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

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作者： Clemens,Brunner ^[1] ; Martin,Billinger ; Carmen,Vidaurre ; Christa,Neuper

作者单位： Laboratory of Brain-Computer Interfaces, Institute for Knowledge Discovery, Graz University of Technology, Krenngasse 37, 8010 Graz, Austria. clemens.brunner@tugraz.at ^[1]

主题词脑(Brain);脑电描记术(Electroencephalography);人类(Humans);想像(Imagination);信号处理, 计算机辅助(Signal Processing, Computer-Assisted);用户计算机接口(User-Computer Interface)

DOI 10.1007/s11517-011-0828-x

PMID 21947797

发布时间 2024-03-30

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Medical & biological engineering & computing

2011年49卷11期

1337-46页

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A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

Medical & biological engineering & computing

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Medical & biological engineering & computing

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A comparison of univariate, vector, bilinear autoregressive, and band power features for brain-computer interfaces.

Medical & biological engineering & computing

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Medical & biological engineering & computing

相关期刊

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