Metric Learning in Freewill EEG Pre-Movement and Movement Intention Classification for Brain Machine Interfaces

Decoding movement related intentions is a key step to implement BMIs. Decoding EEG has been challenging due to its low spatial resolution and signal to noise ratio. Metric learning allows finding a representation of data in a way that captures a desired notion of similarity between data points. In t...

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Detalles Bibliográficos
Autores principales: Plucknett, William, Sanchez Giraldo, Luis G., Bae, Jihye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Human Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283905/
https://www.ncbi.nlm.nih.gov/pubmed/35845246
http://dx.doi.org/10.3389/fnhum.2022.902183

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9283905/
https://www.ncbi.nlm.nih.gov/pubmed/35845246
http://dx.doi.org/10.3389/fnhum.2022.902183

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