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Recent Innovations in Wearable Sensors for Biomedical Approaches

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

Deadline for manuscript submissions: 31 March 2026 | Viewed by 130

Special Issue Editors


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Guest Editor
Department of Information Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, Italy
Interests: wearable biosensors; biomedical signals; artificial intelligence; edge computing; optical biosensors
Special Issues, Collections and Topics in MDPI journals
Department of Information Engineering, Electrical Engineering and Applied Mathematics, University of Salerno, 84084 Fisciano, Italy
Interests: information retrieval; internet of things; edge computing
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Information Technology and Electrical Engineering, University of Naples Federico II, 80125 Napoli, Italy
Interests: wearable biosensors; biomedical signals; motion capture analysis

Special Issue Information

Dear Colleagues,

Wearable biosensors are transforming healthcare by enabling real-time, continuous, non-invasive monitoring of physiological signals. Integrated into devices like smart bands, e-glasses, smart textiles and clinical-grade tools, these technologies are opening up new possibilities for improved health management and personalized medicine.

Promising examples include continuous glucose monitors, wearable ECG/PPG devices for cardiovascular diagnostics and biochemical sweat sensors detecting multiple biomarkers related to physiological conditions. EEG sensors for monitoring brain activity, as well as EMG sensors for neuromuscular activity and inertial measurement units (IMUs) for motion tracking in movement disorders, are further advancing real-time monitoring by analyzing bioelectrical signals and biomechanical data. The convergence of wearable sensing technologies with Artificial Intelligence and the Internet of Medical Things (IoMT) is offering new unprecedented opportunities supporting early diagnosis, disease tracking and personalized rehabilitation, enhancing patient outcomes and clinical decisions.

The key challenges include the integration of wearable technologies into healthcare workflows by developing advanced body-integrated systems, ensuring accuracy and reliability in clinical settings. Managing and interpretating high-dimensional and large volumes data, along with energy-efficient edge computing solutions for real-time anomaly detection and pattern recognition while addressing patient adherence and data security, remain critical.

This Special Issue invites contributions from researchers in the fields of biosensors, artificial intelligence, edge computing and health data security to explore innovations in wearable technologies for personalized healthcare, disease management and rehabilitation.

Dr. Martino Giaquinto
Dr. Luca Greco
Dr. Michela Russo
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. 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

  • novel smart health sensors
  • algorithms for physiological signal processing
  • low-power edge computing for digital health applications
  • secure communication protocols for health data

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Published Papers

This special issue is now open for submission.
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