Time-Variant Linear Discriminant Analysis Improves Hand Gesture and Finger Movement Decoding for Invasive Brain-Computer Interfaces

Invasive brain-computer interfaces yield remarkable performance in a multitude of applications. For classification experiments, high-gamma bandpower features and linear discriminant analysis (LDA) are commonly used due to simplicity and robustness. However, LDA is inherently static and not suited to...

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Detalles Bibliográficos
Autores principales: Gruenwald, Johannes, Znobishchev, Andrei, Kapeller, Christoph, Kamada, Kyousuke, Scharinger, Josef, Guger, Christoph
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775278/
https://www.ncbi.nlm.nih.gov/pubmed/31616237
http://dx.doi.org/10.3389/fnins.2019.00901

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775278/
https://www.ncbi.nlm.nih.gov/pubmed/31616237
http://dx.doi.org/10.3389/fnins.2019.00901

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