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Single channel approach for filtering electroencephalographic signals strongly contaminated with facial electromyography.
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.
Afiliação
  • Queiroz CMM; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • da Silva GM; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Walter S; Department of Medical Psychology, Clinic of Psychosomatic Medicine and Psychotherapy, University Hospital Ulm, Ulm, Germany.
  • Peres LB; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Luiz LMD; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Costa SC; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • de Faria KC; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Pereira AA; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Vieira MF; Bioengineering and Biomechanics Laboratory, Federal University of Goiás, Goiânia, Brazil.
  • Cabral AM; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
  • Andrade AO; Centre for Innovation and Technology Assessment in Health, Federal University of Uberlândia, Uberlândia, Brazil.
Front Comput Neurosci ; 16: 822987, 2022.
Article em En | MEDLINE | ID: mdl-35959164
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline Idioma: En Revista: Front Comput Neurosci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Brasil