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Advances in EEG Sensors: Research and Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Electronic Sensors".

Deadline for manuscript submissions: 20 December 2025 | Viewed by 67

Special Issue Editor


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Guest Editor
Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China
Interests: neural interface device and technology; EEG electrode implantable electrode

Special Issue Information

Dear Colleagues,

In recent years, research on the semantic analysis and understanding of brain signals using biological signals and their application to BCI has been widely conducted. The acquisition of brain signals involves signals obtained from various devices and machines, such as EEG, NIRS, fMRI, and MEG devices. Here, noise in signals is an issue.

Technological advances in EEG sensors and electronics (e.g., dry electrodes and miniaturized amplifiers) have made EEG systems easy-to-mount and sufficiently lightweight to enable continuous, accurate, and mobile recordings. Hardware portability, reduced preparation times, high spatial resolution, consistently stable and high-quality signal over prolonged use, good comfort levels, and the wireless transmission of EEG signals are all requirements of neuroscience investigations in ecological conditions. With this in mind, the forthcoming Special Issue aims to solicit articles from academic and industrial institutions with original contributions on advances in EEG sensors that could be beneficial for biomedical applications, basic neuroscience, and clinical investigations from neonates to adults.

The Special Issue welcomes contributions from the academic community in the following areas:

  • Biological signal acquisition and processing;
  • Electrode designs (biopotential electrodes, EEG electrodes, dry electrodes and semidry electrodes);
  • Brain–computer interfaces and neuro-interfaces for rehabilitation and assistive technologies;
  • Wireless and wearable EEG systems for real-time monitoring;
  • Machine learning and AI-driven EEG signal processing;
  • Applications in epilepsy, Alzheimer’s, Parkinson’s, and mental health diagnostics;
  • Low-power and portable EEG devices for point-of-care.

Prof. Dr. Weihua Pei
Guest Editor

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 2600 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.

Keywords

  • EEG sensors
  • biological signals
  • EEG electrodes

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Published Papers

This special issue is now open for submission.
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