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Wearable Biosensors: From Materials to Systems

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B1: Biosensors".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 833

Special Issue Editors


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Guest Editor
Department of Electronics, Faculty of Electronic Engineering and Technology, Technical University of Sofia, 8 Kliment Ohridski Blvd., 1000 Sofia, Bulgaria
Interests: wearable devices; remote patient monitoring; capacitive electrodes; CECG

E-Mail Website
Guest Editor
Department of Microelectronics, Technical University of Sofia, 8 Kliment Ohridski Blvd., 1000 Sofia, Bulgaria
Interests: wearable devices; microfabrication; energy harvesting and storage
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Special Issue Information

Dear Colleagues,

The use of wearable recording systems is increasingly recognized in medical practice as a reliable method for diagnostics and for both clinical and remote healthcare delivery. Scientific research mainly focuses on challenges related to materials, fabrication technologies, software, and hardware solutions, ensuring the accurate recording of biochemical indicators and vital parameters with minimal discomfort for users. For example, capacitive electrodes are used more often for the continuous monitoring of heart rate, respiration, temperature, and other parameters by depositing chemically resistant nanocoatings on various flexible substrates. Biosensors are central to wearable healthcare technologies, enabling the real-time, precise detection of a wide range of biochemical and physiological markers. Their integration into wearable systems offers potential for early diagnosis, continuous health monitoring, and personalized medicine. Advances in biosensor design that incorporate novel materials, innovative fabrication techniques, self-sustainable power supplies, and system integration are essential to overcoming current limitations and unlocking their full potential in medical and health applications. Accordingly, this Special Issue aims to present research papers, short communications, and review articles focusing on innovative methodological developments in wearable biosensors and devices, as well as their applications for various biochemical and biomedical purposes. The Special Issue also seeks to highlight recent progress and future prospects in developing wearable biosensors, from material innovations to system-level implementations, ultimately improving patient outcomes and transforming healthcare practice.

Prof. Dr. Ivo Iliev
Dr. Mariya Aleksandrova
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 250 words) can be sent to the Editorial Office for assessment.

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. Micromachines 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 2100 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

  • wearable biosensors
  • materials for biomedical sensors
  • nanomaterials for enhanced biosensing
  • personalized healthcare
  • remote health monitoring
  • biocompatible materials
  • soft electronics
  • capacitive electrodes

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Published Papers (1 paper)

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Research

16 pages, 1864 KB  
Article
A Novel Fabric Strain Sensor Array with Hybrid Deep Learning for Accurate Knee Movement Recognition
by Tao Chen, Xiaobin Chen and Fei Wang
Micromachines 2026, 17(1), 56; https://doi.org/10.3390/mi17010056 - 30 Dec 2025
Viewed by 552
Abstract
This paper presents a novel lightweight fabric strain sensor array specifically designed for comprehensive knee joint monitoring. The sensor system features a unique two-layer design incorporating eight strategically positioned sensing elements, enabling effective spatial mapping of strain distribution across the knee during movement. [...] Read more.
This paper presents a novel lightweight fabric strain sensor array specifically designed for comprehensive knee joint monitoring. The sensor system features a unique two-layer design incorporating eight strategically positioned sensing elements, enabling effective spatial mapping of strain distribution across the knee during movement. This configuration offers advantages in capturing complex multi-axis kinematics (flexion/extension, rotation) and localized tissue deformation when compared to simpler sensor layouts. To evaluate the system, ten subjects performed three distinct activities (seated leg raise, standing, walking), generating resistance data from the sensors. A hybrid deep learning model (CNN + BiLSTM + Attention) processed the data and significantly improved performance to 95%. This enhanced accuracy is attributed to the model’s ability to extract spatial-temporal features and leverage long-term dependencies within the time-series sensor data. Furthermore, channel attention analysis within the deep learning model identified sensors 2, 4, and 6 as major contributors to classification performance. The results demonstrate the feasibility of the proposed fabric sensor array for accurately recognizing fundamental knee movements. Despite limitations in the diversity of postures, this system holds significant promise for future applications in rehabilitation monitoring, sports science analytics, and personalized healthcare within the medical and athletic domains. Full article
(This article belongs to the Special Issue Wearable Biosensors: From Materials to Systems)
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