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Autoregressive model based algorithm for correcting motion and serially correlated errors in fNIRS
Systemic physiology and motion-induced artifacts represent two major sources of confounding noise in functional near infrared spectroscopy (fNIRS) imaging that can reduce the performance of analyses and inflate false positive rates (i.e., type I errors) of detecting evoked hemodynamic responses. In...
Gorde:
| Egile Nagusiak: | , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Optical Society of America
2013
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3756568/ https://ncbi.nlm.nih.gov/pubmed/24009999 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.4.001366 |
| Etiketak: |
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