A Lasso quantile periodogram based feature extraction for EEG-based motor imagery
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Neuroscience Methods"
DOI: 10.1016/j.jneumeth.2019.108434
Abstract: BACKGROUND The extraction of relevant and distinct features from the electroencephalogram (EEG) signals is one of the most challenging task when implementing Brain Computer Interface (BCI) based systems. Frequency analysis techniques are recognised as one… read more here.
Keywords: motor imagery; motor; based motor; eeg based ... See more keywords
Testing the relationship between lateralization on sequence-based motor tasks and language laterality using an online battery
Sign Up to like & getrecommendations! Published in 2022 at "Laterality"
DOI: 10.1080/1357650x.2022.2129668
Abstract: ABSTRACT Studies have highlighted an association between motor laterality and speech production laterality. It is thought that common demands for sequential processing may underlie this association. However, most studies in this area have relied on… read more here.
Keywords: sequence based; laterality; language; motor ... See more keywords
Reducing False Triggering Caused by Irrelevant Mental Activities in Brain-Computer Interface Based on Motor Imagery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2021.3066610
Abstract: In recent years, the brain-computer interface (BCI) based on motor imagery (MI) has been considered as a potential post-stroke rehabilitation technology. However, the recognition of MI relies on the event-related desynchronization (ERD) feature, which has… read more here.
Keywords: motor imagery; false triggering; based motor; irrelevant mental ... See more keywords
Time-Distributed Attention Network for EEG-Based Motor Imagery Decoding From the Same Limb
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2022.3154369
Abstract: A brain-computer interface (BCI) based on motor imagery (MI) from the same limb can provide an intuitive control pathway but has received limited attention. It is still a challenge to classify multiple MI tasks from… read more here.
Keywords: attention network; time distributed; distributed attention; based motor ... See more keywords
An Efficient Framework for EEG Analysis with Application to Hybrid Brain Computer Interfaces Based on Motor Imagery and P300
Sign Up to like & getrecommendations! Published in 2017 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2017/9528097
Abstract: The hybrid brain computer interface (BCI) based on motor imagery (MI) and P300 has been a preferred strategy aiming to improve the detection performance through combining the features of each. However, current methods used for… read more here.
Keywords: motor imagery; based motor; hybrid brain; p300 ... See more keywords
Prospective study on cost-effectiveness of home-based motor assessment in Parkinson’s disease
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Telemedicine and Telecare"
DOI: 10.1177/1357633x16638971
Abstract: Introduction Treatment adjustments in Parkinson’s disease (PD) are in part dependent on motor assessments. The aim of this study was to evaluate the cost-effectiveness of home-based motor monitoring plus standard in-office visits versus in-office visits… read more here.
Keywords: home based; cost effectiveness; motor; based motor ... See more keywords
Logistic Regression based Feature Selection and Two-Stage Detection for EEG based Motor Imagery Classification
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Engineering and Systems"
DOI: 10.22266/ijies2021.0228.14
Abstract: Electroencephalogram (EEG) based motor imagery (MI) classification requires efficient feature extraction and consistent accuracy for reliable brain-computer interface (BCI) systems. Achieving consistent accuracy in EEGMI classification is still big challenge according to the nature of… read more here.
Keywords: classification; based motor; eeg based; stage ... See more keywords
A New Method to Generate Artificial Frames Using the Empirical Mode Decomposition for an EEG-Based Motor Imagery BCI
Sign Up to like & getrecommendations! Published in 2018 at "Frontiers in Neuroscience"
DOI: 10.3389/fnins.2018.00308
Abstract: EEG-based Brain-Computer Interfaces (BCIs) are becoming a new tool for neurorehabilitation. BCIs are used to help stroke patients to improve the functional capability of the impaired limbs, and to communicate and assess the level of… read more here.
Keywords: artificial frames; mode; based motor; method ... See more keywords
A Multi-Branch Convolutional Neural Network with Squeeze-and-Excitation Attention Blocks for EEG-Based Motor Imagery Signals Classification
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12040995
Abstract: Electroencephalography-based motor imagery (EEG-MI) classification is a critical component of the brain-computer interface (BCI), which enables people with physical limitations to communicate with the outside world via assistive technology. Regrettably, EEG decoding is challenging because… read more here.
Keywords: classification; multi branch; motor; based motor ... See more keywords