EEG channel selection techniques in motor imagery applications: a review and new perspectives

Abdullah, I Faye, MR Islam - Bioengineering, 2022 - mdpi.com
Communication, neuro-prosthetics, and environmental control are just a few applications for
disabled persons who use robots and manipulators that use brain-computer interface (BCI) …

Motor imagery EEG-EOG signals based Brain Machine Interface (BMI) for a Mobile Robotic Assistant (MRA)

S Mallikarachchi, D Chinthaka… - 2019 IEEE 19th …, 2019 - ieeexplore.ieee.org
Assistive devices for disabled individuals provide the support to fulfil their activities of daily
living. The proposed mobile robotic assistant (MRA) in this paper is capable of providing …

[PDF][PDF] Feature extraction and classification methods for a motor task brain computer interface: a comparative evaluation for two databases

OD Eva, AM Lazar - Int. J. Advanced Computer Sci. Appl, 2017 - researchgate.net
A comparative evaluation is performed on two databases using three feature extraction
techniques and five classification methods for a motor imagery paradigm based on Mu …

[PDF][PDF] Detection and Classification of Mu Rhythm using Phase Synchronization for a Brain Computer Interface

DE Oana - … Journal of Advanced Computer Science and …, 2016 - pdfs.semanticscholar.org
Phase synchronization in a brain computer interface based on Mu rhythm is evaluated by
means of phase lag index and weighted phase lag index. In order to detect and classify the …