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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...

詳細記述

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書誌詳細
出版年:Front Hum Neurosci
主要な著者: von Lühmann, Alexander, Ortega-Martinez, Antonio, Boas, David A., Yücel, Meryem Ayşe
フォーマット: Artigo
言語:Inglês
出版事項: Frontiers Media S.A. 2020
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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