Advances in Flexible Bioelectronics and Intelligent Biosensing Systems

A special issue of Biosensors (ISSN 2079-6374). This special issue belongs to the section "Wearable Biosensors".

Deadline for manuscript submissions: 20 April 2025 | Viewed by 561

Special Issue Editor


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Guest Editor
Institute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
Interests: flexible electronic materials; microsensor devices

Special Issue Information

Dear Colleagues,

Flexible bio-electronics and intelligent biosensing systems are cutting-edge technologies that enable efficient and precise monitoring of various biophysiological signals. The integration of bio-electronics and biosensors has significantly promoted long-term continuous health monitoring, early disease diagnosis, and lifestyle and disease management. Nonetheless, the demand for high-quality, flexible bio-electronics and intelligent biosensing systems that are robust, conformable, easy to use, rich in clinical information, and capable of effective mass production is ever increasing. Therefore, this Special Issue, "Advances in Flexible Bio-electronics and Intelligent Biosensing Systems", focuses on recent advances in the development of bio-interfaced flexible chemical and physical sensors and intelligent sensing systems. We invite submissions that help to advance the field of flexible bio-electronics and biosensing technology and its applications for biomarker detection, disease diagnosis, and other biomedical applications.

Dr. Shuwen Chen
Guest Editor

Manuscript Submission Information

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Keywords

  • bio-electronics
  • biosensors
  • flexible sensors
  • flexible electronics
  • wearable sensors
  • healthcare electronics
  • biomedical electronics
  • biochemical sensors
  • bio-interfaced physical sensors
  • artificial intelligence

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Published Papers (1 paper)

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Research

13 pages, 4393 KiB  
Article
A Cost-Effective and Easy-to-Fabricate Conductive Velcro Dry Electrode for Durable and High-Performance Biopotential Acquisition
by Jun Guo, Xuanqi Wang, Ruiyu Bai, Zimo Zhang, Huazhen Chen, Kai Xue, Chuang Ma, Dawei Zang, Erwei Yin, Kunpeng Gao and Bowen Ji
Biosensors 2024, 14(9), 432; https://doi.org/10.3390/bios14090432 - 6 Sep 2024
Viewed by 401
Abstract
Compared with the traditional gel electrode, the dry electrode is being taken more seriously in bioelectrical recording because of its easy preparation, long-lasting ability, and reusability. However, the commonly used dry AgCl electrodes and silver cloth electrodes are generally hard to record through [...] Read more.
Compared with the traditional gel electrode, the dry electrode is being taken more seriously in bioelectrical recording because of its easy preparation, long-lasting ability, and reusability. However, the commonly used dry AgCl electrodes and silver cloth electrodes are generally hard to record through hair due to their flat contact surface. Claw electrodes can contact skin through hair on the head and body, but the internal claw structure is relatively hard and causes discomfort after being worn for a few hours. Here, we report a conductive Velcro electrode (CVE) with an elastic hook hair structure, which can collect biopotential through body hair. The elastic hooks greatly reduce discomfort after long-time wearing and can even be worn all day. The CVE electrode is fabricated by one-step immersion in conductive silver paste based on the cost-effective commercial Velcro, forming a uniform and durable conductive coating on a cluster of hook microstructures. The electrode shows excellent properties, including low impedance (15.88 kΩ @ 10 Hz), high signal-to-noise ratio (16.0 dB), strong water resistance, and mechanical resistance. After washing in laundry detergent, the impedance of CVE is still 16% lower than the commercial AgCl electrodes. To verify the mechanical strength and recovery capability, we conducted cyclic compression experiments. The results show that the displacement change of the electrode hook hair after 50 compression cycles was still less than 1%. This electrode provides a universal acquisition scheme, including effective acquisition of different parts of the body with or without hair. Finally, the gesture recognition from electromyography (EMG) by the CVE electrode was applied with accuracy above 90%. The CVE proposed in this study has great potential and promise in various human–machine interface (HMI) applications that employ surface biopotential signals on the body or head with hair. Full article
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