Cargando…
Multiclass Motor Imagery Recognition of Single Joint in Upper Limb Based on NSGA- II OVO TWSVM
In the study of the brain computer interface (BCI) system, electroencephalogram (EEG) signals induced by different movements of the same joint are hard to distinguish. This paper proposes a novel scheme that combined amplitude-frequency (AF) information of intrinsic mode function (IMF) with common s...
Autores principales: | Guan, Shan, Zhao, Kai, Wang, Fuwang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046167/ https://www.ncbi.nlm.nih.gov/pubmed/30050566 http://dx.doi.org/10.1155/2018/6265108 |
Ejemplares similares
-
Multiclass Classification Based on Combined Motor Imageries
por: Lindig-León, Cecilia, et al.
Publicado: (2020) -
Discriminating three motor imagery states of the same joint for brain-computer interface
por: Guan, Shan, et al.
Publicado: (2021) -
Multiclass Posterior Probability Twin SVM for Motor Imagery EEG Classification
por: She, Qingshan, et al.
Publicado: (2015) -
Attention-Based DSC-ConvLSTM for Multiclass Motor Imagery Classification
por: Li, Li, et al.
Publicado: (2022) -
A New Approach for Clustered MCs Classification with Sparse Features Learning and TWSVM
por: Zhang, Xin-Sheng
Publicado: (2014)