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Optimal channel and frequency band‐based feature selection for motor imagery electroencephalogram classification

https://doi.org/10.1002/ima.22823
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/ima.22405openalex-snapshot
Classification of motor imagery electroencephalography signals using continuous small convolutional neural network
inferredcites →https://doi.org/10.1007/s00521-013-1523-7openalex-snapshot
Mutual information-based optimization of sparse spatio-spectral filters in brain–computer interface
inferredcites →https://doi.org/10.1016/j.bspc.2021.102485openalex-snapshot
An improved version of local activities estimation to enhance motor imagery classification
inferredcites →https://doi.org/10.1016/j.eswa.2017.07.033openalex-snapshot
Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG
inferredcites →https://doi.org/10.1016/j.jneumeth.2009.01.015openalex-snapshot
Neurofeedback-based motor imagery training for brain–computer interface (BCI)
inferredcites →https://doi.org/10.1016/j.jneumeth.2015.08.004openalex-snapshot
Optimizing spatial patterns with sparse filter bands for motor-imagery based brain–computer interface
inferredcites →https://doi.org/10.1016/j.jneumeth.2021.109378openalex-snapshot
Multi-view optimization of time-frequency common spatial patterns for brain-computer interfaces
inferredcites →https://doi.org/10.1016/j.measurement.2021.110116openalex-snapshot
Analysis and application of functional connectivity in synchronic hybrid mental tasks for brain-computer interface
inferredcites →https://doi.org/10.1016/j.neucom.2016.05.035openalex-snapshot
Improved SFFS method for channel selection in motor imagery based BCI
inferredcites →https://doi.org/10.1016/j.neunet.2018.02.011openalex-snapshot
Towards correlation-based time window selection method for motor imagery BCIs
inferredcites →https://doi.org/10.1016/j.neunet.2019.07.008openalex-snapshot
Correlation-based channel selection and regularized feature optimization for MI-based BCI
inferredcites →https://doi.org/10.1016/j.neuroimage.2007.01.051openalex-snapshot
The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects
inferredcites →https://doi.org/10.1016/j.patcog.2021.107918openalex-snapshot
Complex common spatial patterns on time-frequency decomposed EEG for brain-computer interface
inferredcites →https://doi.org/10.1088/1741-2552/aaf046openalex-snapshot
A penalized time-frequency band feature selection and classification procedure for improved motor intention decoding in multichannel EEG
inferredcites →https://doi.org/10.1088/1741-2552/ab598fopenalex-snapshot
Enhance decoding of pre-movement EEG patterns for brain–computer interfaces
inferredcites →https://doi.org/10.1109/86.895946openalex-snapshot
Optimal spatial filtering of single trial EEG during imagined hand movement
inferredcites →https://doi.org/10.1109/86.895947openalex-snapshot
Real-time EEG analysis with subject-specific spatial patterns for a brain-computer interface (BCI)
inferredcites →https://doi.org/10.1109/access.2020.2993318openalex-snapshot
A Novel EEG Correlation Coefficient Feature Extraction Approach Based on Demixing EEG Channel Pairs for Cognitive Task Classification
inferredcites →https://doi.org/10.1109/access.2020.2996685openalex-snapshot
Discriminative Feature Selection-Based Motor Imagery Classification Using EEG Signal
inferredcites →https://doi.org/10.1109/ijcnn13382.2008openalex-snapshot
2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence)
inferredcites →https://doi.org/10.1109/jbhi.2018.2832538openalex-snapshot
Sparse Group Representation Model for Motor Imagery EEG Classification
inferredcites →https://doi.org/10.1109/msp.2008.4408441openalex-snapshot
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
inferredcites →https://doi.org/10.1109/tbme.2009.2025866openalex-snapshot
Voxel Selection in fMRI Data Analysis Based on Sparse Representation
inferredcites →https://doi.org/10.1109/tnnls.2021.3118468openalex-snapshot
Robust Similarity Measurement Based on a Novel Time Filter for SSVEPs Detection
inferredcites →https://doi.org/10.1109/tnsre.2016.2646763openalex-snapshot
EEG-Based Strategies to Detect Motor Imagery for Control and Rehabilitation
inferredcites →https://doi.org/10.1109/tnsre.2017.2757519openalex-snapshot
Filter Bank Regularized Common Spatial Pattern Ensemble for Small Sample Motor Imagery Classification
inferredcites →https://doi.org/10.1109/tnsre.2019.2914916openalex-snapshot
An Asynchronous Hybrid Spelling Approach Based on EEG–EOG Signals for Chinese Character Input
inferredcites →https://doi.org/10.1109/tnsre.2021.3071140openalex-snapshot
Learning Common Time-Frequency-Spatial Patterns for Motor Imagery Classification
inferredcites →https://doi.org/10.1109/tre.2000.847807openalex-snapshot
Brain-computer interface technology: a review of the first international meeting
inferredcites →https://doi.org/10.1142/s0218126620500346openalex-snapshot
Classification of EEG Signals Based on Filter Bank and Sparse Representation in Motor Imagery Brain-Computer Interfaces
inferredcites →https://doi.org/10.1142/s0219635216500229openalex-snapshot
The backtracking search optimization algorithm for frequency band and time segment selection in motor imagery-based brain–computer interfaces
inferredcites →https://doi.org/10.1177/1550059412445051openalex-snapshot
Enhanced Active Segment Selection for Single-Trial EEG Classification
inferredcites →https://doi.org/10.3390/s120201211openalex-snapshot
Brain Computer Interfaces, a Review

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4806471openalex-extracted
Comparative Analysis of Mental Workload in Real vs. Graphic Virtual Reality Environments: Insights from Eeg and Subjective Assessments
inferred← citeshttps://doi.org/10.1007/978-3-032-15784-3_24openalex-snapshot
WGAN-Powered Adversarial Feature Learning for Robust EEG Classification of Hand Finger Movements
inferred← citeshttps://doi.org/10.1007/s11042-025-20605-8openalex-snapshot
A two-stage feature redundancy minimization methodology framework for motor imagery EEG classification
inferred← citeshttps://doi.org/10.1038/s41598-025-93047-9openalex-snapshot
Simulating online and offline tasks using hybrid cheetah optimization algorithm for patients affected by neurodegenerative diseases
inferred← citeshttps://doi.org/10.1088/1741-2552/ad9cc0openalex-snapshot
A novel method of cognitive overload assessment based on a fusion feature selection using EEG signals
inferred← citeshttps://doi.org/10.1109/iarce64300.2024.00095openalex-snapshot
Temporal-Spectral Multi-Scale Sub-Band Common Spatial Pattern Algorithm for Motor Imagery Brain-computer Interfaces
inferred← citeshttps://doi.org/10.2139/ssrn.5210145openalex-snapshot
Comparative Analysis of Mental Workload in Real vs. Graphic Virtual Reality Environments: Insights from Eeg and Subjective Assessments
inferred← citeshttps://doi.org/10.33012/2023.19261openalex-snapshot
A Jamming Detection Algorithm for GNSS Frequency-Hopping Signal Based on Multi-Node Collaboration and Multi-Segment Spectral Clustering
inferred← citeshttps://doi.org/10.3389/fnhum.2023.1205881openalex-snapshot
The effects of layer-wise relevance propagation-based feature selection for EEG classification: a comparative study on multiple datasets
inferred← citeshttps://doi.org/10.3390/s24154989openalex-snapshot
Exploring Feature Selection and Classification Techniques to Improve the Performance of an Electroencephalography-Based Motor Imagery Brain–Computer Interface System
inferred← citeshttps://doi.org/10.3390/s25010120openalex-snapshot
Performance Improvement with Reduced Number of Channels in Motor Imagery BCI System
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