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Special Issue "The Challenges in Brain-Computer Interface (BCI) - Toward Practical BCI"
Deadline for manuscript submissions: 29 February 2020.
Interests: brain–computer Interface (BCI); neuromodulation; myoelectric control; deep learning; machine learning
For the last several decades, the brain–computer interface (BCI) has been intensively studied to establish a novel method of communication using brain activity for those who are paralyzed but have intact brain functions. However, the performance and reliability of BCI technologies are still limited due to various challenging issues, such as the nonstationarity nature of brain activity, session-to-session transfer, physiological artifacts contained in brain activity, and so on. Consequently, clinically available BCI systems have rarely been introduced to date.
This Special Issue aims to share the current state-of-the-art trends and future directions in the BCI field, thereby encouraging the development of practical solutions to tackle the aforementioned challenging issues. We invite researchers to submit original research articles, clinical studies, and review/survey articles that contribute to the advance of BCI technologies based on non-invasive neuroimaging modalities, i.e., electroencephalography (EEG) and near-infrared spectroscopy (NIRS). This Special Issue will focus in the challenges in practical BCI, including but not limited to:
- Enhanced BCI Performance: Development of new devices, algorithms, and paradigms;
- Reliable BCI: Evaluation of test-retest reliability and session-to-session transfer based on multiday datasets;
- Ambulatory BCI: Development of portable, easy-to-use, and wireless EEG/NIRS recording systems and their related methodologies;
- Neuromodulation-based BCI: Use of electrical and magnetic brain stimulation to improve the performance and reliability of BCI systems;
- Practical BCI: Development of BCI applications, e.g., rehabilitation, entertainment, drowsiness detection, emotion decoding;
- Development of new artifact rejection algorithms for EOG, EMG, ECG, etc.;
- Releasing publicly available BCI datasets;
- Review/survey articles.
Dr. Han-Jeong Hwang
Dr. Chang-Hee Han
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.