Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography

Eliminating facial electromyographic (EMG) signal from the electroencephalogram (EEG) is crucial for the accuracy of applications such as brain computer interfaces (BCIs) and brain functionality measurement. Facial electromyography typically corrupts the electroencephalogram. Although it is possible...

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Detalles Bibliográficos
Autores principales: Queiroz, Carlos Magno Medeiros, da Silva, Gustavo Moreira, Walter, Steffen, Peres, Luciano Brinck, Luiz, Luiza Maire David, Costa, Samila Carolina, de Faria, Kelly Christina, Pereira, Adriano Alves, Vieira, Marcus Fraga, Cabral, Ariana Moura, Andrade, Adriano de Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361713/
https://www.ncbi.nlm.nih.gov/pubmed/35959164
http://dx.doi.org/10.3389/fncom.2022.822987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361713/
https://www.ncbi.nlm.nih.gov/pubmed/35959164
http://dx.doi.org/10.3389/fncom.2022.822987

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