Bimodal electroencephalography-functional magnetic resonance imaging dataset for inner-speech recognition

The recognition of inner speech, which could give a ‘voice’ to patients that have no ability to speak or move, is a challenge for brain-computer interfaces (BCIs). A shortcoming of the available datasets is that they do not combine modalities to increase the performance of inner speech recognition....

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Detalles Bibliográficos
Autores principales: Simistira Liwicki, Foteini, Gupta, Vibha, Saini, Rajkumar, De, Kanjar, Abid, Nosheen, Rakesh, Sumit, Wellington, Scott, Wilson, Holly, Liwicki, Marcus, Eriksson, Johan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264396/
https://www.ncbi.nlm.nih.gov/pubmed/37311807
http://dx.doi.org/10.1038/s41597-023-02286-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10264396/
https://www.ncbi.nlm.nih.gov/pubmed/37311807
http://dx.doi.org/10.1038/s41597-023-02286-w

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