ABroAD: A Machine Learning Based Approach to Detect Broadband NIRS Artefacts

Artefacts are a common and unwanted aspect of any measurement process, especially in a clinical environment, with multiple causes such as environmental changes or motion. In near-infrared spectroscopy (NIRS), there are several existing methods that can be used to identify and remove artefacts to imp...

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Detalles Bibliográficos
Autores principales: Russell-Buckland, Joshua, Bale, Gemma, de Roever, Isabel, Tachtsidis, Ilias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142856/
https://www.ncbi.nlm.nih.gov/pubmed/30178365
http://dx.doi.org/10.1007/978-3-319-91287-5_51

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6142856/
https://www.ncbi.nlm.nih.gov/pubmed/30178365
http://dx.doi.org/10.1007/978-3-319-91287-5_51

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