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Biosensors
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Advances in Flexible Bioelectronics and Intelligent Biosensing Systems
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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 2825

Special Issue Editor

Dr. Shuwen Chen

E-Mail Website
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

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. Biosensors 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 2700 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

  • 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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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

11 pages, 3940 KiB  
Article
Utilizing Multiple Triboelectric Nanogenerator Sensors and Signal Processing Technology for Monitoring Periodic Leg Movements of Sleep
by Zongyi Jiang, Yunzhong Wang, Damian Tohl, Liming Fang and Youhong Tang
Biosensors 2024, 14(11), 532; https://doi.org/10.3390/bios14110532 - 4 Nov 2024
Viewed by 684
Abstract
High-quality sleep is essential for both physiological and cognitive functions. However, periodic leg movements of sleep (PLMS), an involuntary phenomenon during sleep, affects millions of people worldwide, contributing to sleep fragmentation and functional impairments. The accurate monitoring of PLMS is important for identifying [...] Read more.
High-quality sleep is essential for both physiological and cognitive functions. However, periodic leg movements of sleep (PLMS), an involuntary phenomenon during sleep, affects millions of people worldwide, contributing to sleep fragmentation and functional impairments. The accurate monitoring of PLMS is important for identifying and addressing these issues. Traditional methods, such as polysomnography (PSG), which monitor the bare tibialis muscle movements in clinical environments, may not adequately reflect the natural sleep patterns at home. They are costly and unsuitable for long-term studies. In recent years, there has been growing interest in using flexible sensors for sleep monitoring. Previous studies have applied triboelectric nanogenerators (TENGs) as flexible sensors to detect muscle movements during sleep. However, distinguishing true PLMS from false signals caused by external factors, such as blankets, remains a challenge. This study proposes a method using three TENG sensors placed on the dorsum, ankle, and tibialis, respectively, along with signal processing techniques to enhance the accuracy of PLMS detection. This study provides a cost-effective, comfortable method for PLMS monitoring, with the potential for widespread use in home-based sleep studies and long-term care in the future. Full article
(This article belongs to the Special Issue Advances in Flexible Bioelectronics and Intelligent Biosensing Systems)
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9 pages, 1043 KiB  
Article
Construct Validity of a Wearable Inertial Measurement Unit (IMU) in Measuring Postural Sway and the Effect of Visual Deprivation in Healthy Older Adults
by Luca Ferrari, Gianluca Bochicchio, Alberto Bottari, Alessandra Scarton, Francesco Lucertini and Silvia Pogliaghi
Biosensors 2024, 14(11), 529; https://doi.org/10.3390/bios14110529 - 1 Nov 2024
Viewed by 692
Abstract
Inertial Motor sensors (IMUs) are valid instruments for measuring postural sway but their ability to detect changes derived from visual deprivation in healthy older adults requires further investigations. We examined the validity and relationship of IMU sensor-derived postural sway measures compared to force [...] Read more.
Inertial Motor sensors (IMUs) are valid instruments for measuring postural sway but their ability to detect changes derived from visual deprivation in healthy older adults requires further investigations. We examined the validity and relationship of IMU sensor-derived postural sway measures compared to force plates for different eye conditions in healthy older adults (32 females, 33 males). We compared the relationship of the center of mass and center of pressure (CoM and CoP)-derived total length, root means square (RMS) distance, mean velocity, and 95% confidence interval ellipse area (95% CI ellipse area). In addition, we examined the relationship of the IMU sensor in discriminating between open- (EO) and closed-eye (EC) conditions compared to the force plate. A significant effect of the instruments and eye conditions was found for almost all the variables. Overall, EO and EC variables within (force plate r, from 0.38 to 0.78; IMU sensor r, from 0.36 to 0.69) as well as between (r from 0.50 to 0.88) instruments were moderately to strongly correlated. The EC:EO ratios of RMS distance and 95% CI ellipse area were not different between instruments, while there were significant differences between total length (p = 0.973) and mean velocity (p = 0.703). The ratios’ correlation coefficients between instruments ranged from moderate (r = 0.65) to strong (r = 0.87). The IMU sensor offers an affordable, valid alternative to a force plate for objective, postural sway assessment. Full article
(This article belongs to the Special Issue Advances in Flexible Bioelectronics and Intelligent Biosensing Systems)
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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 1041
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
(This article belongs to the Special Issue Advances in Flexible Bioelectronics and Intelligent Biosensing Systems)
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