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Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation

The discriminative spatial patterns (DSP) algorithm is a classical and effective feature extraction technique for decoding of voluntary finger premovements from electroencephalography (EEG). As a purely data-driven subspace learning algorithm, DSP essentially is a spatial-domain filter and does not...

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Bibliografische gegevens
Gepubliceerd in:Comput Intell Neurosci
Hoofdauteurs: Cai, Qian, Yan, Jianfeng, Han, Hongfang, Gong, Weiqiang, Wang, Haixian
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Hindawi 2021
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC8175166/
https://ncbi.nlm.nih.gov/pubmed/34135952
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2021/6634672
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