Learning based motion artifacts processing in fNIRS: a mini review

This paper provides a concise review of learning-based motion artifacts (MA) processing methods in functional near-infrared spectroscopy (fNIRS), highlighting the challenges of maintaining optimal contact during subject movement, which can lead to MA and compromise data integrity. Traditional strate...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Yunyi, Luo, Haiming, Chen, Jianan, Loureiro, Rui, Yang, Shufan, Zhao, Hubin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683641/
https://www.ncbi.nlm.nih.gov/pubmed/38033535
http://dx.doi.org/10.3389/fnins.2023.1280590

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10683641/
https://www.ncbi.nlm.nih.gov/pubmed/38033535
http://dx.doi.org/10.3389/fnins.2023.1280590

Ejemplares similares