Decoding the EEG patterns induced by sequential finger movement for brain-computer interfaces
ObjectiveIn recent years, motor imagery-based brain–computer interfaces (MI-BCIs) have developed rapidly due to their great potential in neurological rehabilitation. However, the controllable instruction set limits its application in daily life. To extend the instruction set, we proposed a novel mov...
Main Authors: | Chang Liu, Jia You, Kun Wang, Shanshan Zhang, Yining Huang, Minpeng Xu, Dong Ming |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-08-01
|
Series: | Frontiers in Neuroscience |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fnins.2023.1180471/full |
Similar Items
-
Small-Dimension Feature Matrix Construction Method for Decoding Repetitive Finger Movements From Electroencephalogram Signals
by: Tianyu Jia, et al.
Published: (2020-01-01) -
Combining Movement-Related Cortical Potentials and Event-Related Desynchronization to Study Movement Preparation and Execution
by: Hai Li, et al.
Published: (2018-10-01) -
EEG Changes in Time and Time-Frequency Domain During Movement Preparation and Execution in Stroke Patients
by: Hai Li, et al.
Published: (2020-08-01) -
EEG generation mechanism of lower limb active movement intention and its virtual reality induction enhancement: a preliminary study
by: Runlin Dong, et al.
Published: (2024-01-01) -
Improving the Cross-Subject Performance of the ERP-Based Brain–Computer Interface Using Rapid Serial Visual Presentation and Correlation Analysis Rank
by: Shuang Liu, et al.
Published: (2020-07-01)