Advanced Neuroelectronics and Its Applications

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B:Biology and Biomedicine".

Deadline for manuscript submissions: 20 March 2027 | Viewed by 1085

Editor


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Guest Editor
Department of Health and Biomedical Sciences, The University of Texas Rio Grande Valley, Brownsville, TX 78520, USA
Interests: conductive polymers; biosensors; bioelectronics; tissue regeneration; cancer
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Special Issue Information

Dear Colleagues, 

We are excited to announce the Special Issue on "Advanced Neuroelectronics and Its Applications" in Micromachines. This issue aims to showcase cutting-edge advancements in neuroelectronics, focusing on innovative technologies that bridge neuroscience and engineering to address challenges in neural repair, diagnostics, and therapeutic interventions. We welcome contributions exploring novel neuroelectronic devices, such as conductive biohybrid nerves, biosensors, and neural interfaces, as well as their applications in tissue regeneration, brain-computer interfaces, neurostimulation, and precision medicine. Topics of interest include conductive biomaterials, organic electrochemical transistors, CMOS-based biosensors, and closed-loop systems for real-time monitoring and therapy. This Special Issue seeks to foster interdisciplinary collaboration, bringing together researchers from biomedical engineering, neuroscience, and molecular biology to advance bioelectronic medicine. We invite original research, reviews, and perspectives from established and emerging scholars to contribute to this dynamic field. Join us in shaping the future of neuroelectronics and its transformative applications in healthcare.

Dr. Abijeet Mehta
Guest Editor

Manuscript Submission Information

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Keywords

  • neuroelectronics
  • bioelectronic medicine
  • neural interfaces
  • biosensors
  • conductive biomaterials
  • brain-computer interfaces
  • neurostimulation
  • tissue regeneration
  • organic electrochemical transistors
  • precision medicine
 

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Published Papers (1 paper)

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Review

34 pages, 2712 KB  
Review
Recent Progress in In-Ear EEG Technology and Its Emerging Real-World Applications: A Review
by Haoqing Yan and Xin Xu
Micromachines 2026, 17(7), 764; https://doi.org/10.3390/mi17070764 - 23 Jun 2026
Viewed by 639
Abstract
Electroencephalography (EEG) is a core technique for brain activity monitoring. However, conventional EEG systems suffer from complicated setup and poor portability, which drives the development of ear EEG technology. Ear EEG is divided into in-ear and around-ear types, both with unique application strengths. [...] Read more.
Electroencephalography (EEG) is a core technique for brain activity monitoring. However, conventional EEG systems suffer from complicated setup and poor portability, which drives the development of ear EEG technology. Ear EEG is divided into in-ear and around-ear types, both with unique application strengths. This review mainly discusses in-ear EEG, as it features a compact structure and fits well with daily wearable use cases. Current research on in-ear EEG is limited to feasibility verification and small-sample experiments. Researchers have not yet combined personalized design with signal processing algorithms systematically, and multi-center clinical trials are still absent. These issues have become the major bottleneck hindering its clinical transformation. This paper reviews the latest advances in ear-EEG systems, focusing on structural innovation and material development to summarize key achievements in hardware design. It also summarizes its typical applications in brain-computer interfaces (BCI), covering steady-state responses, event-related potentials and motor imagery. Meanwhile, it analyzes the application of in-ear EEG in brain state monitoring, including sleep tracking, epilepsy detection, drowsiness evaluation and emotion recognition. Finally, future directions for in-ear EEG are outlined, including personalized design and intelligent signal processing. This review provides a technical framework for beginners and identifies key directions for future research. Full article
(This article belongs to the Special Issue Advanced Neuroelectronics and Its Applications)
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