Cargando…
Decoding of Covert Vowel Articulation Using Electroencephalography Cortical Currents
With the goal of providing assistive technology for the communication impaired, we proposed electroencephalography (EEG) cortical currents as a new approach for EEG-based brain-computer interface spellers. EEG cortical currents were estimated with a variational Bayesian method that uses functional m...
Autores principales: | Yoshimura, Natsue, Nishimoto, Atsushi, Belkacem, Abdelkader Nasreddine, Shin, Duk, Kambara, Hiroyuki, Hanakawa, Takashi, Koike, Yasuharu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4853397/ https://www.ncbi.nlm.nih.gov/pubmed/27199638 http://dx.doi.org/10.3389/fnins.2016.00175 |
Ejemplares similares
-
Neural decoding of single vowels during covert articulation using electrocorticography
por: Ikeda, Shigeyuki, et al.
Publicado: (2014) -
Real-Time Control of a Video Game Using Eye Movements and Two Temporal EEG Sensors
por: Belkacem, Abdelkader Nasreddine, et al.
Publicado: (2015) -
Control of a Robot Arm Using Decoded Joint Angles from Electrocorticograms in Primate
por: Shin, Duk, et al.
Publicado: (2018) -
Decoding finger movement in humans using synergy of EEG cortical current signals
por: Yoshimura, Natsue, et al.
Publicado: (2017) -
Characteristics of Kinematic Parameters in Decoding Intended Reaching Movements Using Electroencephalography (EEG)
por: Kim, Hyeonseok, et al.
Publicado: (2019)