Robust EEG channel selection across sessions in brain-computer interface involving stroke patients
Brain-computer interface (BCI) technology has shown the capability of improving the quality of life for people with severe motor disabilities. To improve the portability and practicability of BCI systems, it is crucial to reduce the number of EEG channels as well as to have a good reliability. Howev...
Main Authors: | Arvaneh, Mahnaz, Guan, Cuntai, Ang, Kai Keng, Quek, Chai |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Conference Paper |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/98313 http://hdl.handle.net/10220/12419 |
Similar Items
-
Omitting the intra-session calibration in EEG-based brain computer interface used for stroke rehabilitation
by: Arvaneh, Mahnaz, et al.
Published: (2013) -
EEG data space adaptation to reduce intersession nonstationarity in brain-computer interface
by: Arvaneh, Mahnaz, et al.
Published: (2014) -
Multi-frequency band common spatial pattern with sparse optimization in Brain-Computer Interface
by: Arvaneh, Mahnaz, et al.
Published: (2013) -
Advanced brain computer interface
by: Arvaneh, Mahnaz
Published: (2014) -
Exploring the ability of stroke survivors in using the contralesional hemisphere to control a brain-computer interface
by: Mansour, Salem, et al.
Published: (2023)