Special Issue "Brain–Computer Interfaces: Advances and Challenges"
Deadline for manuscript submissions: closed (15 October 2021) | Viewed by 19208
Interests: neural interfaces; neurometry; biosignal processing; neuro-devices; brain area networks
Special Issues, Collections and Topics in MDPI journals
Interests: bio-signal acquisition devices; neurometry; bio-signal processing; neuro-devices
Brain–computer Interfaces emerged a few decades ago as a new communication technology to permit subjects with severe neuromuscular disorders to communicate and interact with the outer world. Recently, the rapid development of wireless technology opened the door for out-of-the-lab applications, such as in the field of entertainment, industry, marketing, and education. In the future, we foresee a new generation of smart neuro-devices for the cloud-computing of cerebral activity. This includes the deployment of large ensembles of fully-wireless-neural prostheses capable of performing complex tasks and bidirectional sensing. This ecosystem of implantable neuro-sensors constitutes a new framework of the IoT arena, referred to as brain area networks (BRAN). BRAN is a challenging and multidisciplinary paradigm that encompasses communication protocols, efficient wireless energy harvesting, and large-scale neuro-signal acquisition and processing.
This Special Issue will explore the advances, challenges, and future prospects of both invasive and non-invasive brain–computer interfaces (e.g., innovative multi bio-signals headsets, integrated stimulation-acquisition devices, dry electrodes, implantable neuro-technologies, and sensors), services and applications (e.g., applications in telemedicine and telerehabilitation, entertainment, cognitive workload assessment and emotion recognition, neuro-rehabilitation, ambient assisted living, biosecurity, clinical evaluation, neuro-marketing, and education, among others), scalable bio-signals processing algorithms for large numbers of neuro-sensors, including cloud-computing and closed-loop systems.
Dr. Miguel Ángel López Gordo
Dr. Christian A. Morillas Gutiérrez
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 submissions that pass pre-check are 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. Sensors is an international peer-reviewed open access semimonthly 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 2400 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.
- Neuro-signal processing, implantable
- Brain-computer interfaces and applications
- Neurometry and applications (education, marketing, industry, military, emotions recognition, telemedicine, rehabilitation, e-sports, and brain activity monitoring, among others)
- Methods for neuro-signal processing and analysis
- Communication techniques and power harvesting for brain area networks