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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer International Publishing
2018
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| Materias: | |
| 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 |