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An adaptive singular spectrum analysis method for extracting brain rhythms of electroencephalography
Artifacts removal and rhythms extraction from electroencephalography (EEG) signals are important for portable and wearable EEG recording devices. Incorporating a novel grouping rule, we proposed an adaptive singular spectrum analysis (SSA) method for artifacts removal and rhythms extraction. Based o...
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| Publicado no: | PeerJ |
|---|---|
| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
PeerJ Inc.
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5493032/ https://ncbi.nlm.nih.gov/pubmed/28674650 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7717/peerj.3474 |
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