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
Modeling of a light-fueled self-paddling boat with a liquid crystal elastomer-based motor.
Sign Up to like & getrecommendations! Published in 2024 at "Physical review. E"
DOI: 10.1103/physreve.109.044705
Abstract: Active materials possess unique properties of being able to respond autonomously to external stimuli, yet realizing and regulating the motion behavior of active machines remains a major challenge. Conventional control approaches, including sensor control and… read more here.
Keywords: fueled self; self paddling; light fueled; based 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
A High-Frequency GaN-Based Motor Drive for Aircraft Electromechanical Actuators
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Industrial Electronics"
DOI: 10.1109/tie.2024.3413809
Abstract: To achieve superior dynamic response performance for aircraft electromechanical actuators (EMAs), high speed, low inductance, or multipole permanent magnet synchronous motors (PMSMs) prove to be ideal candidates. This necessitates a high-switching frequency for the motor… read more here.
Keywords: gan based; aircraft; motor drive; based motor ... 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
Six Weeks to Wellness: The Role of Breathing Exercises Based on Motor Development Pattern in Improving Fitness and Quality of Life in Overweight Elderly Women
Sign Up to like & getrecommendations! Published in 2024 at "Biological Research For Nursing"
DOI: 10.1177/10998004241297403
Abstract: Background: Being overweight is a major global health epidemic of the 20th and 21st centuries, which can affect the movement system function of older adult women. This study evaluated the effects of a breathing exercise… read more here.
Keywords: based motor; fitness; motor development; quality life ... 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