Enhancing the decoding accuracy of EEG signals by the introduction of anchored-STFT and adversarial data augmentation method.

Ali, Omair; Saif-Ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian

Ali, Omair; Saif-Ur-Rehman, Muhammad; Dyck, Susanne; Glasmachers, Tobias; Iossifidis, Ioannis; Klaes, Christian.

Afiliação

Ali O; Faculty of Medicine, Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany. omair.ali@ruhr-uni-bochum.de.
Saif-Ur-Rehman M; Department of Electrical Engineering and Information Technology, Ruhr-University Bochum, Bochum, Germany. omair.ali@ruhr-uni-bochum.de.
Dyck S; Department of Computer Science, Ruhr-West University of Applied Science, Mülheim an der Ruhr, Germany.
Glasmachers T; Faculty of Medicine, Department of Neurosurgery, University Hospital Knappschaftskrankenhaus Bochum GmbH, Bochum, Germany.
Iossifidis I; Institut Für Neuroinformatik, Ruhr University Bochum, Bochum, Germany.
Klaes C; Department of Computer Science, Ruhr-West University of Applied Science, Mülheim an der Ruhr, Germany.

Sci Rep ; 12(1): 4245, 2022 03 10.

Article em En | MEDLINE | ID: mdl-35273310

Assuntos

Interfaces Cérebro-Computador; Imaginação; Algoritmos; Eletroencefalografia/métodos; Análise de Fourier; Humanos; Redes Neurais de Computação

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Interfaces Cérebro-Computador / Imaginação Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Alemanha

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