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Signal Processing in fNIRS: A Case for the Removal of Systemic Activity for Single Trial Data
Researchers using functional near infrared spectroscopy (fNIRS) are increasingly aware of the problem that conventional filtering methods do not eliminate systemic noise at frequencies overlapping with the task frequency. This is a problem when signals are averaged for analysis, even more so when si...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2019-09-01
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| Colecção: | Frontiers in Human Neuroscience |
| Assuntos: | |
| Acesso em linha: | https://www.frontiersin.org/article/10.3389/fnhum.2019.00331/full |
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