Enhanced Performance by Time-Frequency-Phase Feature for EEG-Based BCI Systems

We introduce a new motor parameter imagery paradigm using clench speed and clench force motor imagery. The time-frequency-phase features are extracted from mu rhythm and beta rhythms, and the features are optimized using three process methods: no-scaled feature using “MIFS” feature selection criteri...

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Detalles Bibliográficos
Autores principales: Xu, Baolei, Fu, Yunfa, Shi, Gang, Yin, Xuxian, Wang, Zhidong, Li, Hongyi, Jiang, Changhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087262/
https://www.ncbi.nlm.nih.gov/pubmed/25045733
http://dx.doi.org/10.1155/2014/420561

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4087262/
https://www.ncbi.nlm.nih.gov/pubmed/25045733
http://dx.doi.org/10.1155/2014/420561

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