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Motion artifacts in functional near-infrared spectroscopy: a comparison of motion correction techniques applied to real cognitive data
Motion artifacts are a significant source of noise in many functional near-infrared spectroscopy (fNIRS) experiments. Despite this, there is no well-established method for their removal. Instead, functional trials of fNIRS data containing a motion artifact are often rejected completely. However, in...
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| Autori principali: | , , , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3762942/ https://ncbi.nlm.nih.gov/pubmed/23639260 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.neuroimage.2013.04.082 |
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