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Separation of the global and local components in functional near-infrared spectroscopy signals using principal component spatial filtering
Global systemic effects not specific to a task can be prominent in functional near-infrared spectroscopy (fNIRS) signals and the separation of task-specific fNIRS signals and global nonspecific effects is challenging due to waveform correlations. We describe a principal component spatial filter algo...
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| Wydane w: | Neurophotonics |
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| Główni autorzy: | , , |
| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Society of Photo-Optical Instrumentation Engineers
2016
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| Hasła przedmiotowe: | |
| Dostęp online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4742567/ https://ncbi.nlm.nih.gov/pubmed/26866047 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.NPh.3.1.015004 |
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