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Biosensors
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Wearable Biosensors for Health Monitoring
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Wearable Biosensors for Health Monitoring

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

Deadline for manuscript submissions: 31 December 2025 | Viewed by 1460

Special Issue Editors

Prof. Dr. Gang Chang

E-Mail Website
Guest Editor
Ministry of Education Key Laboratory for the Green Preparation and Application of Functional Materials, School of Materials Science and Engineering, Hubei University, Wuhan 430062, China
Interests: chemical sensors; biosensors; gas sensors; SERS; Field Effect Transistor (FET); flexible devices; wearable devices
Prof. Dr. Yuxiang Wu

E-Mail Website
Guest Editor
Institute of Intelligent Sport and Proactive Health, Department of Health and Physical Education, Jianghan University, Wuhan, China
Interests: biosensors; wearable bioelectronics; self-powered sensors; biomedical devices
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Xi Xie

E-Mail Website
Guest Editor
State Key Laboratory of Optoelectronic Materials and Technologies, School of Electronics and Information Technology, Guangdong Province Key Laboratory of Display Material and Technology, Sun Yat-sen University, Guangzhou 510006, China
Interests: wearable and implantable electronics; micro-/nano-materials and devices; bio-devices and bio-materials

Special Issue Information

Dear Colleagues,

In the rapidly evolving landscape of digital health, wearable biosensors play a crucial role in the field of health engineering. Leveraging advancements in AI and IoT, these technologies have expanded the possibilities for disease prevention, early diagnosis, health management, and personalized medicine. However, several challenges persist, including sensor performance, device integration, and the fusion of multi-source data.

This Special Issue seeks to create an interdisciplinary platform that brings together innovative global research to facilitate the transition from laboratory findings to practical applications. We invite research or review articles in the following areas:

  1. Design: development of wearable biosensors, innovative and flexible materials, portable biosensing systems, and biosensing device integration.
  2. Application: strategies for disease prevention, early diagnosis, health management, and personalized medicine.
  3. Additional Topics: advances in material manufacturing, biomarker recognition and signal transduction mechanisms, sensor–body interfaces, IoT-enabled biosensors, AI-combined biosensors, and other interdisciplinary research endeavors.

We look forward to hearing from you.

With best regards,

Prof. Dr. Gang Chang
Prof. Dr. Yuxiang Wu
Prof. Dr. Xi Xie
Guest Editors

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 2200 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

  • wearability
  • biosensing
  • health engineering
  • innovative materials
  • flexible materials
  • bioelectronics
  • BioMEMS/NEMS
  • AI
  • IoT
  • disease prevention
  • diagnosis
  • health management
  • personalized medicine

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Published Papers (2 papers)

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Research

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15 pages, 2400 KB  
Article
Robust Prediction of Cardiorespiratory Signals from a Multimodal Physiological System on the Upper Arm
by Kimberly L. Branan, Rachel Kurian, Justin P. McMurray, Madhav Erraguntla, Ricardo Gutierrez-Osuna and Gerard L. Coté
Biosensors 2025, 15(8), 493; https://doi.org/10.3390/bios15080493 - 1 Aug 2025
Viewed by 445
Abstract
Many commercial wearable sensor systems typically rely on a single continuous cardiorespiratory sensing modality, photoplethysmography (PPG), which suffers from inherent biases (i.e., differences in skin tone) and noise (e.g., motion and pressure artifacts). In this research, we present a wearable device that provides [...] Read more.
Many commercial wearable sensor systems typically rely on a single continuous cardiorespiratory sensing modality, photoplethysmography (PPG), which suffers from inherent biases (i.e., differences in skin tone) and noise (e.g., motion and pressure artifacts). In this research, we present a wearable device that provides robust estimates of cardiorespiratory variables by combining three physiological signals from the upper arm: multiwavelength PPG, single-sided electrocardiography (SS-ECG), and bioimpedance plethysmography (BioZ), along with an inertial measurement unit (IMU) providing 3-axis accelerometry and gyroscope information. We evaluated the multimodal device on 16 subjects by its ability to estimate heart rate (HR) and breathing rate (BR) in the presence of various static and dynamic noise sources (e.g., skin tone and motion). We proposed a hierarchical approach that considers the subject’s skin tone and signal quality to select the optimal sensing modality for estimating HR and BR. Our results indicate that, when estimating HR, there is a trade-off between accuracy and robustness, with SS-ECG providing the highest accuracy (low mean absolute error; MAE) but low reliability (higher rates of sensor failure), and PPG/BioZ having lower accuracy but higher reliability. When estimating BR, we find that fusing estimates from multiple modalities via ensemble bagged tree regression outperforms single-modality estimates. These results indicate that multimodal approaches to cardiorespiratory monitoring can overcome the accuracy–robustness trade-off that occurs when using single-modality approaches. Full article
(This article belongs to the Special Issue Wearable Biosensors for Health Monitoring)
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Review

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25 pages, 9718 KB  
Review
The Design and Application of Wearable Ultrasound Devices for Detection and Imaging
by Yuning Lei, Jinjie Duan, Qi Qi, Jie Fang, Qian Liu, Shuang Zhou and Yuxiang Wu
Biosensors 2025, 15(9), 561; https://doi.org/10.3390/bios15090561 - 26 Aug 2025
Viewed by 782
Abstract
The convergence of flexible electronics and miniaturized ultrasound transducers has accelerated the development of wearable ultrasound devices, offering innovative solutions for continuous, non-invasive physiological monitoring and disease diagnosis. This review systematically examines the recent progress in the field, focusing on three key aspects: [...] Read more.
The convergence of flexible electronics and miniaturized ultrasound transducers has accelerated the development of wearable ultrasound devices, offering innovative solutions for continuous, non-invasive physiological monitoring and disease diagnosis. This review systematically examines the recent progress in the field, focusing on three key aspects: physical principles, device design, and clinical applications. From the perspective of physical principles, we provide an in-depth analysis of the fundamental theories underlying ultrasound imaging, including acoustic wave propagation in biological tissues, interface reflection mechanisms, and Doppler effects. In terms of device design, we compare technical approaches for rigid and flexible ultrasound transducers, with particular emphasis on innovative designs for flexible transducers. The key developments discussed include optimization of piezoelectric materials, the fabrication of stretchable electrodes, and advances in flexible encapsulation materials. Regarding clinical applications, we categorize the use cases by anatomical region and illustrate their diagnostic value through representative examples, demonstrating their utility in disease detection, health monitoring, and sports medicine. Finally, we identify critical challenges such as signal stability, coupling material compatibility, and long-term wearability, while outlining future directions including AI-assisted diagnosis and multifunctional integration. This review aims to provide a comprehensive reference for both fundamental research and clinical translation of wearable ultrasound technologies. Full article
(This article belongs to the Special Issue Wearable Biosensors for Health Monitoring)
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