Cargando...
Dynamic filtering improves attentional state prediction with fNIRS
Brain activity can predict a person’s level of engagement in an attentional task. However, estimates of brain activity are often confounded by measurement artifacts and systemic physiological noise. The optimal method for filtering this noise – thereby increasing such state prediction accuracy – rem...
Gardado en:
| Publicado en: | Biomed Opt Express |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Optical Society of America
2016
|
| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4866469/ https://ncbi.nlm.nih.gov/pubmed/27231602 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.7.000979 |
| Tags: |
Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|