EEG-Based Brain-Computer Interface for Decoding Motor Imagery Tasks within the Same Hand Using Choi-Williams Time-Frequency Distribution

This paper presents an EEG-based brain-computer interface system for classifying eleven motor imagery (MI) tasks within the same hand. The proposed system utilizes the Choi-Williams time-frequency distribution (CWD) to construct a time-frequency representation (TFR) of the EEG signals. The construct...

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Detalles Bibliográficos
Autores principales: Alazrai, Rami, Alwanni, Hisham, Baslan, Yara, Alnuman, Nasim, Daoud, Mohammad I.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621048/
https://www.ncbi.nlm.nih.gov/pubmed/28832513
http://dx.doi.org/10.3390/s17091937

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5621048/
https://www.ncbi.nlm.nih.gov/pubmed/28832513
http://dx.doi.org/10.3390/s17091937

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