Cargando…
Alertness-based subject-dependent and subject-independent filter optimization for improving classification efficiency of SSVEP detection
BACKGROUND: Mental task-based brain computer interface (BCI) systems are usually developed for neural prostheses technologies and medical rehabilitation. The mental workload was too heavy for the user to manipulate BCI effectively. Fortunately, electroencephalography (EEG) signal is not only used fo...
Autores principales: | Cao, Lei, Fan, Chunjiang, Wang, Zijian, Hou, Lusong, Wang, Haoran, Li, Gang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369106/ https://www.ncbi.nlm.nih.gov/pubmed/32364149 http://dx.doi.org/10.3233/THC-209017 |
Ejemplares similares
-
Enhancing performance of subject-specific models via subject-independent information for SSVEP-based BCIs
por: Mehdizavareh, Mohammad Hadi, et al.
Publicado: (2020) -
Facilitating Applications of SSVEP-Based BCIs by Within-Subject Information Transfer
por: Liu, Xiaobing, et al.
Publicado: (2022) -
Inter- and Intra-subject Template-Based Multivariate Synchronization Index Using an Adaptive Threshold for SSVEP-Based BCIs
por: Wang, Haoran, et al.
Publicado: (2020) -
Assisted closed-loop optimization of SSVEP-BCI efficiency
por: Fernandez-Vargas, Jacobo, et al.
Publicado: (2013) -
A SSVEP Stimuli Encoding Method Using Trinary Frequency-Shift Keying Encoded SSVEP (TFSK-SSVEP)
por: Zhao, Xing, et al.
Publicado: (2017)