Research on Adaptive Discriminating Method of Brain–Computer Interface for Motor Imagination
(1) <b>Background</b>: Brain–computer interface (BCI) technology represents a cutting-edge field that integrates brain intelligence with machine intelligence. Unlike BCIs that rely on external stimuli, motor imagery-based BCIs (MI-BCIs) generate usable brain signals based on an individua...
| Published in: | Brain Sciences |
|---|---|
| Main Authors: | Jifeng Gong, Huitong Liu, Fang Duan, Yan Che, Zheng Yan |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3425/15/4/412 |
Similar Items
Motor Imagery Classification for Asynchronous EEG-Based Brain–Computer Interfaces
by: Huanyu Wu, et al.
Published: (2024-01-01)
by: Huanyu Wu, et al.
Published: (2024-01-01)
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
by: Tianwang Jia, et al.
Published: (2024-01-01)
by: Tianwang Jia, et al.
Published: (2024-01-01)
Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals
by: Amr F. Mohamed, et al.
Published: (2024-12-01)
by: Amr F. Mohamed, et al.
Published: (2024-12-01)
A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
by: Athanasios Vavoulis, et al.
Published: (2023-01-01)
by: Athanasios Vavoulis, et al.
Published: (2023-01-01)
Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces
by: Seraphim S. Moumgiakmas, et al.
Published: (2022-04-01)
by: Seraphim S. Moumgiakmas, et al.
Published: (2022-04-01)
Optimal Sensor Set for Decoding Motor Imagery from EEG
by: Arnau Dillen, et al.
Published: (2023-03-01)
by: Arnau Dillen, et al.
Published: (2023-03-01)
A Novel Classification Framework Using the Graph Representations of Electroencephalogram for Motor Imagery Based Brain-Computer Interface
by: Jing Jin, et al.
Published: (2022-01-01)
by: Jing Jin, et al.
Published: (2022-01-01)
Multi-class motor imagery EEG decoding for brain-computer interfaces
by: Deng eWang, et al.
Published: (2012-10-01)
by: Deng eWang, et al.
Published: (2012-10-01)
Brain–Computer-Interface-Based Smart-Home Interface by Leveraging Motor Imagery Signals
by: Simona Cariello, et al.
Published: (2023-07-01)
by: Simona Cariello, et al.
Published: (2023-07-01)
Functional Connectivity and Feature Fusion Enhance Multiclass Motor-Imagery Brain–Computer Interface Performance
by: Ilaria Siviero, et al.
Published: (2023-08-01)
by: Ilaria Siviero, et al.
Published: (2023-08-01)
The Application of Entropy in Motor Imagery Paradigms of Brain–Computer Interfaces
by: Chengzhen Wu, et al.
Published: (2025-02-01)
by: Chengzhen Wu, et al.
Published: (2025-02-01)
Electroencephalogram Dataset of Visually Imagined Arabic Alphabet for Brain–Computer Interface Design and Evaluation
by: Rami Alazrai, et al.
Published: (2025-05-01)
by: Rami Alazrai, et al.
Published: (2025-05-01)
Increasing accessibility to a large brain–computer interface dataset: Curation of physionet EEG motor movement/imagery dataset for decoding and classification
by: Zaid Shuqfa, et al.
Published: (2024-06-01)
by: Zaid Shuqfa, et al.
Published: (2024-06-01)
BRAIN-COMPUTER-INTERFACE – SUPPORTED MOTOR IMAGERY TRAININTG FOR PATIENTS WITH HEMIPARESIS
by: O. A. Mokienko, et al.
Published: (2013-04-01)
by: O. A. Mokienko, et al.
Published: (2013-04-01)
TDLNet: Transfer Data Learning Network for Cross-Subject Classification Based on Multiclass Upper Limb Motor Imagery EEG
by: Jingfeng Bi, et al.
Published: (2023-01-01)
by: Jingfeng Bi, et al.
Published: (2023-01-01)
A novel strategy for driving car brain–computer interfaces: Discrimination of EEG-based visual-motor imagery
by: Zhou Zhouzhou, et al.
Published: (2021-11-01)
by: Zhou Zhouzhou, et al.
Published: (2021-11-01)
A multi-band centroid contrastive reconstruction fusion network for motor imagery electroencephalogram signal decoding
by: Jiacan Xu, et al.
Published: (2023-11-01)
by: Jiacan Xu, et al.
Published: (2023-11-01)
Global Cortical Network Distinguishes Motor Imagination of the Left and Right Foot
by: Chun-Ren Phang, et al.
Published: (2020-01-01)
by: Chun-Ren Phang, et al.
Published: (2020-01-01)
Machine learning techniques for electroencephalogram based brain-computer interface: A systematic literature review
by: Pawan, et al.
Published: (2023-08-01)
by: Pawan, et al.
Published: (2023-08-01)
A Tensor-Based Frequency Features Combination Method for Brain–Computer Interfaces
by: Yu Pei, et al.
Published: (2022-01-01)
by: Yu Pei, et al.
Published: (2022-01-01)
Motor Imagery Classification Using Inter-Task Transfer Learning via a Channel-Wise Variational Autoencoder-Based Convolutional Neural Network
by: Do-Yeun Lee, et al.
Published: (2022-01-01)
by: Do-Yeun Lee, et al.
Published: (2022-01-01)
A Multi-Scale Adaptive Fusion Network: End-to-End Interpretable Small-Sample Classifier for Motor Imagery EEG
by: Qiulei Han, et al.
Published: (2025-01-01)
by: Qiulei Han, et al.
Published: (2025-01-01)
A FUSION OF A DISCRETE WAVELET TRANSFORM-BASED AND TIME-DOMAIN FEATURES EXTRACTION FOR MOTOR IMAGERY CLASSIFICATION
by: Fouziah Md Yassin, et al.
Published: (2024-04-01)
by: Fouziah Md Yassin, et al.
Published: (2024-04-01)
Application of Motor Imagery Brain-Computer Interface on Patients with Motor Dysfunction after Stroke
by: JIANG Yongchun, et al.
Published: (2023-12-01)
by: JIANG Yongchun, et al.
Published: (2023-12-01)
Motor imagery classification using a novel CNN in EEG-BCI with common average reference and sliding window techniques
by: Konda Gurava Reddy Atla, et al.
Published: (2025-05-01)
by: Konda Gurava Reddy Atla, et al.
Published: (2025-05-01)
Analysis of the application of brain-computer interfaces of a selected paradigm in everyday life
by: Katarzyna Mróz, et al.
Published: (2022-06-01)
by: Katarzyna Mróz, et al.
Published: (2022-06-01)
Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces
by: Xiuyu Huang, et al.
Published: (2023-01-01)
by: Xiuyu Huang, et al.
Published: (2023-01-01)
Motor task-to-task transfer learning for motor imagery brain-computer interfaces
by: Daeun Gwon, et al.
Published: (2024-11-01)
by: Daeun Gwon, et al.
Published: (2024-11-01)
Cybathlon experiences of the Graz BCI racing team Mirage91 in the brain-computer interface discipline
by: Karina Statthaler, et al.
Published: (2017-12-01)
by: Karina Statthaler, et al.
Published: (2017-12-01)
Front-End Replication Dynamic Window (FRDW) for Online Motor Imagery Classification
by: Xinru Chen, et al.
Published: (2023-01-01)
by: Xinru Chen, et al.
Published: (2023-01-01)
Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions
by: Konstantinos Barmpas, et al.
Published: (2023-01-01)
by: Konstantinos Barmpas, et al.
Published: (2023-01-01)
A Wearable Channel Selection-Based Brain-Computer Interface for Motor Imagery Detection
by: Chi-Chun Lo, et al.
Published: (2016-02-01)
by: Chi-Chun Lo, et al.
Published: (2016-02-01)
Advancing Fractal Dimension Techniques to Enhance Motor Imagery Tasks Using EEG for Brain–Computer Interface Applications
by: Amr F. Mohamed, et al.
Published: (2025-05-01)
by: Amr F. Mohamed, et al.
Published: (2025-05-01)
EEG channel and feature investigation in binary and multiple motor imagery task predictions
by: Murside Degirmenci, et al.
Published: (2024-12-01)
by: Murside Degirmenci, et al.
Published: (2024-12-01)
Electroencephalogram channel selection based on pearson correlation coefficient for motor imagery-brain-computer interface
by: Pawan, et al.
Published: (2023-02-01)
by: Pawan, et al.
Published: (2023-02-01)
TSPNet: a time-spatial parallel network for classification of EEG-based multiclass upper limb motor imagery BCI
by: Jingfeng Bi, et al.
Published: (2023-12-01)
by: Jingfeng Bi, et al.
Published: (2023-12-01)
EEG Signal Complexity Measurements to Enhance BCI-Based Stroke Patients’ Rehabilitation
by: Noor Kamal Al-Qazzaz, et al.
Published: (2023-04-01)
by: Noor Kamal Al-Qazzaz, et al.
Published: (2023-04-01)
Improving Performance of Motor Imagery-Based Brain–Computer Interface in Poorly Performing Subjects Using a Hybrid-Imagery Method Utilizing Combined Motor and Somatosensory Activity
by: Sangin Park, et al.
Published: (2023-01-01)
by: Sangin Park, et al.
Published: (2023-01-01)
On the Better Performance of Pianists with Motor Imagery-Based Brain-Computer Interface Systems
by: José-Vicente Riquelme-Ros, et al.
Published: (2020-08-01)
by: José-Vicente Riquelme-Ros, et al.
Published: (2020-08-01)
EEG feature extraction methods in motor imagery-based brain-computer interfaces: a systematic review and network meta-analysis
by: Jiahao Cheng, et al.
Published: (2025-12-01)
by: Jiahao Cheng, et al.
Published: (2025-12-01)
Similar Items
-
Motor Imagery Classification for Asynchronous EEG-Based Brain–Computer Interfaces
by: Huanyu Wu, et al.
Published: (2024-01-01) -
Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
by: Tianwang Jia, et al.
Published: (2024-01-01) -
Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals
by: Amr F. Mohamed, et al.
Published: (2024-12-01) -
A Review of Online Classification Performance in Motor Imagery-Based Brain–Computer Interfaces for Stroke Neurorehabilitation
by: Athanasios Vavoulis, et al.
Published: (2023-01-01) -
Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces
by: Seraphim S. Moumgiakmas, et al.
Published: (2022-04-01)
