Special Issue

Topic: Motor Imagery EEG Classification in Brain-Computer Interfaces

A Special Issue of Connected Health And Telemedicine

ISSN 2993-2920 (Online)

Submission deadline: 29 Feb 2024

Guest Editor(s)

Prof. Zhiguo Zhang
Institute of Computing and Intelligence, Harbin Institute of Technology, Shenzhen, China.
Prof. Gan Huang
School of Biomedical Engineering, Medical School, Shenzhen University, Shenzhen, China.
Dr. Muhammad Tariq Sadiq
Advanced Engineering Centre, School of Architecture, Technology and Engineering, University of Brighton, Brighton, United Kingdom.

Special Issue Introduction

Brain-Computer Interfaces (BCIs) have emerged as a transformative technology that bridges the gap between the human brain and external devices, enabling direct communication and control. Among various BCI paradigms, Motor Imagery EEG (electroencephalography) classification has garnered significant attention due to its non-invasiveness and potential applications in rehabilitation, assistive technology, and gaming, among others. This Special Issue aims to present cutting-edge research and advancements in Motor Imagery EEG classification, bringing together researchers and practitioners from diverse disciplines to explore the challenges, innovations, and future prospects in this exciting field.

Scope and Topics of Interest
We invite submissions on a wide range of topics related to Motor Imagery EEG classification in BCI systems. Topics of interest for this Special Issue include but are not limited to:
1. Novel algorithms and methodologies for Motor Imagery EEG classification;

2. Feature extraction and selection techniques to enhance classification accuracy;

3. Deep learning and machine learning approaches in Motor Imagery EEG classification;

4. Domain adaptation and transfer learning to address inter-subject variability;

5. Real-time BCI systems for Motor Imagery classification;

6. Multimodal fusion of EEG with other physiological signals for improved classification;

7. Evaluation metrics and benchmark datasets for Motor Imagery EEG classification;

8. Brain signal analysis and visualization techniques for interpreting Motor Imagery tasks;

9. Neurofeedback applications based on Motor Imagery EEG classification;

10. Ethical considerations and user experience in Motor Imagery BCIs;

11. Sensory feedback for Motor Imagery reinforcement;

12. MI-BCI for rehabilitation.

Submission Guidelines
Researchers and practitioners are invited to submit original, high-quality manuscripts that have not been previously published or under review elsewhere. Manuscripts should adhere to the journal's guidelines for formatting and length. All submissions will undergo a rigorous peer-review process to ensure the publication of high-quality research.

Submission Deadline

29 Feb 2024

Submission Information

For Author Instructions, please refer to https://www.oaepublish.com/chatmed/author_instructions
For Online Submission, please login at https://oaemesas.com/login?JournalId=chatmed&IssueId=chatmed230725
Submission Deadline: 29 Feb 2024
Contacts: Ruobing Tong, Assistant Editor, assistant_editor@chatmedjournal.com

Published Articles

Coming soon
Connected Health And Telemedicine
ISSN 2993-2920 (Online)


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All published articles are preserved here permanently: