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Wearable Electronic Technologies for Advanced Biomedical Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".

Deadline for manuscript submissions: closed (20 April 2026) | Viewed by 963

Special Issue Editor


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Guest Editor
Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA 94720-1770, USA
Interests: printed electronics; wearable medical devices
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wearable electronic technologies are rapidly emerging as a transformative platform for next-generation healthcare. With the integration of soft materials, nanotechnology, and wireless communication, wearable sensors and electronic systems can now provide continuous, non-invasive monitoring of physiological signals, enabling timely diagnosis and personalized therapy. This Special Issue aims to highlight recent advances in the design, fabrication, and application of wearable biomedical electronics, including flexible and stretchable sensors, bioadhesive interfaces, hydrogel- and polymer-based devices, and implantable platforms. We particularly welcome contributions that address challenges in biocompatibility, signal stability, power management, and data integration, as well as studies that demonstrate translational potential in real-world biomedical settings.

This Special Issue topic fits closely with the scope of Sensors, as it brings together cutting-edge developments in sensing materials, device engineering, and system-level integration. By showcasing interdisciplinary research from electronics, materials science, and biomedicine, this Special Issue will provide a timely overview of wearable sensor technologies for advanced biomedical applications and help accelerate their impact in clinical diagnostics, therapeutic monitoring, and personalized healthcare.

We look forward to your contributions.

Dr. Yuting Cai
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 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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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 electronics
  • flexible and stretchable sensors
  • hydrogel-based biointerfaces
  • biocompatible materials
  • implantable devices
  • continuous health monitoring
  • personalized therapy
  • closed-loop system

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Published Papers (1 paper)

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Research

24 pages, 963 KB  
Article
Smart Monitoring for Cancer Treatment: Feasibility Study of an IoT-Based Assessment System
by David Martínez-Pascual, Pablo Rubira-Úbeda, José M. Catalán, Andrea Blanco-Ivorra, Beatriz Franqueza, Gabrielle Derrico, Juan A. Barios and Nicolás García-Aracil
Sensors 2026, 26(5), 1579; https://doi.org/10.3390/s26051579 - 3 Mar 2026
Viewed by 639
Abstract
Non-invasive monitoring technologies are increasingly being explored to support cancer care, yet most existing approaches focus on isolated parameters and fail to provide a comprehensive view of patients’ health. This study presents a feasibility evaluation of an IoT-based system designed to detect treatment-related [...] Read more.
Non-invasive monitoring technologies are increasingly being explored to support cancer care, yet most existing approaches focus on isolated parameters and fail to provide a comprehensive view of patients’ health. This study presents a feasibility evaluation of an IoT-based system designed to detect treatment-related problems in oncology patients through the integration of wearable sensors, physiological measurements, and patient-reported outcomes. A monitoring kit, including a smartwatch, tensiometer, weighing scale, and mobile device, was deployed in a cohort of 26 patients undergoing oncological treatment. Data acquisition followed a structured schedule: continuous physiological recording via the smartwatch, daily blood pressure measurements, weekly weight monitoring, and structured surveys capturing treatment-related side effects. These heterogeneous data were transformed into binary clinical metrics using rule-based feature extraction algorithms, covering conditions such as insomnia, nausea, diarrhea, abdominal pain, headache, weight loss, hypertension, and fever. Clinical specialists labeled the dataset to ensure medical validity. Machine Learning models were then trained to analyze the features and generate alerts for potential treatment complications. The results demonstrate the feasibility of integrating IoT and Artificial Intelligence techniques for continuous, patient-centered monitoring in oncology, paving the way for intelligent decision-support systems that enhance early detection and clinical management. Full article
(This article belongs to the Special Issue Wearable Electronic Technologies for Advanced Biomedical Applications)
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