Review of Sparse Representation-Based Classification Methods on EEG Signal Processing for Epilepsy Detection, Brain-Computer Interface and Cognitive Impairment
At present, the sparse representation-based classification (SRC) has become an important approach in electroencephalograph (EEG) signal analysis, by which the data is sparsely represented on the basis of a fixed dictionary or learned dictionary and classified based on the reconstruction criteria. SR...
| Main Authors: | , , , , |
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| Format: | Online |
| Language: | English |
| Published: |
Frontiers Media S.A.
2016
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| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4937019/ |