Special Issue "Advances toward a New Generation of Neural Interfaces Based on Minimally Invasive Technologies"
A special issue of Brain Sciences (ISSN 2076-3425). This special issue belongs to the section "Neural Engineering, Neuroergonomics and Neurorobotics".
Deadline for manuscript submissions: 30 September 2022 | Viewed by 297
Interests: neural interfaces; biosignal processing; electronic implants; sensor networks; bioinstrumentation; BCI
Interests: neural interfaces; neurometry; biosignal processing; neuro-devices; brain area networks
Special Issues, Collections and Topics in MDPI journals
Interests: neural interfaces; electronic implants; bioinstrumentation; medical electronics; biomedical engineering
Neural interfaces are well known to the biomedical community and, increasingly, to the general public. In comparison with non-invasive technologies, implantable approaches are usually advantageous in terms of spatial selectivity, quality of signal (i.e., higher signal-to-noise ratio), and usability. However, there are some important risks associated with implantable devices, such as tissue damage or infection. Thanks to technological advances in recent years, many authors have proposed several minimally invasive approaches based on miniaturized and wireless implants with different capabilities (e.g., stimulation or sensing). In addition, recent developments regarding soft and ultrathin implantable electrodes have contributed to reducing mechanical mismatch, thus minimizing tissue damage. This promising and disruptive new generation of neural interfaces will minimize the risks associated with implantable devices, while keeping the advantages over non-invasive interfaces. This ecosystem of wireless micro-implants constitutes a new challenging and multidisciplinary framework.
This Special Issue aims to present a collection of studies that address the advances, challenges, and prospects in the framework of neural interfaces based on minimally invasive technologies. This encompasses implant design (e.g., biosensors, electrodes, electronics, encapsulation), wireless power transfer methods (e.g., near/mid/far-field, radiation/coupling), networking and communication protocols (centralized approach, distributed networks, media access control, internetworking, remote management, etc.), biosignal acquisition and processing (e.g., scalable processing, large-scale processing), applications, and use cases.
Dr. Jesus Minguillon
Dr. Miguel Ángel López Gordo
Prof. Dr. Antoni Ivorra
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. Brain Sciences 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 2000 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.
- minimally invasive neural interfaces
- electronic implants
- wireless power transfer
- communication protocols for implants
- biosignal acquisition and processing
- stimulation and sensing applications