Domain adaptation for robust workload level alignment between sessions and subjects using fNIRS

Significance: We demonstrated the potential of using domain adaptation on functional near-infrared spectroscopy (fNIRS) data to classify different levels of [Formula: see text]-back tasks that involve working memory. Aim: Domain shift in fNIRS data is a challenge in the workload level alignment acro...

Descripción completa

Detalles Bibliográficos
Autores principales: Lyu, Boyang, Pham, Thao, Blaney, Giles, Haga, Zachary, Sassaroli, Angelo, Fantini, Sergio, Aeron, Shuchin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Special Series on Artificial Intelligence and Machine Learning in Biomedical Optics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790507/
https://www.ncbi.nlm.nih.gov/pubmed/33415849
http://dx.doi.org/10.1117/1.JBO.26.2.022908

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7790507/
https://www.ncbi.nlm.nih.gov/pubmed/33415849
http://dx.doi.org/10.1117/1.JBO.26.2.022908

Ejemplares similares