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Evaluating motion processing algorithms for use with functional near-infrared spectroscopy data from young children
Motion artifacts are often a significant component of the measured signal in functional near-infrared spectroscopy (fNIRS) experiments. A variety of methods have been proposed to address this issue, including principal components analysis (PCA), correlation-based signal improvement (CBSI), wavelet f...
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| Pubblicato in: | Neurophotonics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Society of Photo-Optical Instrumentation Engineers
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5963607/ https://ncbi.nlm.nih.gov/pubmed/29845087 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1117/1.NPh.5.2.025008 |
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