Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation.
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ABSTRACT:
SUBMITTER: Cai Q
PROVIDER: S-EPMC8175166 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Publications
Multilinear Discriminative Spatial Patterns for Movement-Related Cortical Potential Based on EEG Classification with Tensor Representation.
Cai Qian Q Yan Jianfeng J Han Hongfang H Gong Weiqiang W Wang Haixian H
Computational intelligence and neuroscience 20210526
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 make full use of the information in frequency domain. The paper presents multilinear discriminative spatial patterns (MDSP) to derive multiple interrelated lower dimensional discriminative subspaces o ...[more]
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