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Using the General Linear Model to Improve Performance in fNIRS Single Trial Analysis and Classification: A Perspective
Within a decade, single trial analysis of functional Near Infrared Spectroscopy (fNIRS) signals has gained significant momentum, and fNIRS joined the set of modalities frequently used for active and passive Brain Computer Interfaces (BCI). A great variety of methods for feature extraction and classi...
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| 出版年: | Front Hum Neurosci |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン・アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7040364/ https://ncbi.nlm.nih.gov/pubmed/32132909 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fnhum.2020.00030 |
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