Elucidation of EEG Characteristics of Fuzzy Reasoning-Based Heuristic BCI and Its Application to Patient With Brain Infarction
Non-invasive brain–computer interfaces (BCIs) based on common electroencephalography (EEG) are limited to specific instrumentation sites and frequency bands. These BCI induce certain targeted electroencephalographic features of cognitive tasks, identify them, and determine BCI's performance, an...
Main Authors: | Norihiko Saga, Atsushi Doi, Teruo Oda, Suguru N. Kudoh |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2021-01-01
|
Series: | Frontiers in Neurorobotics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnbot.2020.607706/full |
Similar Items
-
Prototype of an Ankle Neurorehabilitation System with Heuristic BCI Using Simplified Fuzzy Reasoning
by: Norihiko Saga, et al.
Published: (2019-06-01) -
In-Ear Electrode EEG for Practical SSVEP BCI
by: Surej Mouli, et al.
Published: (2020-11-01) -
Toward EEG-Based BCI Applications for Industry 4.0: Challenges and Possible Applications
by: Khalida Douibi, et al.
Published: (2021-08-01) -
Non-Invasive BCI through EEG
by: Szafir, Daniel J.
Published: (2010) -
Gamma band activity associated with BCI performance – Simultaneous MEG/EEG study
by: Minkyu eAhn, et al.
Published: (2013-12-01)