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Wearable Technologies and Sensors for Health Monitoring

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

Deadline for manuscript submissions: 31 January 2026 | Viewed by 839

Special Issue Editor


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Guest Editor
Department of Electronics and Computer Technology, University of Granada, 18071 Granada, Spain
Interests: wearable; embedded systems; sensors; flexible electronics; printed electronics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Wearable health monitoring systems (WHMS) are transforming healthcare by providing non-intrusive, remote-access solutions for continuous biosignal monitoring. These devices enable ubiquitous point-of-care (POC) diagnostics and facilitate rapid medical intervention. Recent advances in this field have been made possible thanks to significant progress in multidisciplinary domains, including biosensors, RF antennas, energy storage devices, processing algorithms, and low-power communication protocols, enabling the development of cost-effective, low-power, and high-performance wearable devices. These innovations contribute to a more accessible and pervasive healthcare system. Consequently, ongoing research in WHMS should continue to explore low-cost materials and novel sensing technologies to further enhance performance, affordability, and integration of these devices.

This Special Issue aims to showcase novel technologies that support advances in WHMS, including advanced sensors, flexible antennas, innovative energy storage solutions, intelligent processing algorithms, and communication networks.

We warmly welcome original research articles, communications, and reviews that address recent developments in wearable technologies and sensors for healthcare applications.

Dr. Francisco J. Romero
Guest Editor

Manuscript Submission Information

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Keywords

  • wearable health monitoring
  • biosignal monitoring
  • biosensors
  • flexible antennas

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Published Papers (1 paper)

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24 pages, 1389 KB  
Systematic Review
Wearable-Sensor-Based Physical Activity and Sleep in Children with Down Syndrome Aged 0–5 Years: A Systematic Review
by Gilson Borges, Vanessa Moreira and Fabio Bertapelli
Sensors 2025, 25(23), 7278; https://doi.org/10.3390/s25237278 - 29 Nov 2025
Viewed by 533
Abstract
Wearables enable objective measurement of physical activity (PA) and sleep. Studies that have examined PA and sleep in children with Down syndrome (DS) have not been systematically reviewed. The objectives of this systematic review (PROSPERO: CRD420251036478) were to: (1) describe patterns of PA [...] Read more.
Wearables enable objective measurement of physical activity (PA) and sleep. Studies that have examined PA and sleep in children with Down syndrome (DS) have not been systematically reviewed. The objectives of this systematic review (PROSPERO: CRD420251036478) were to: (1) describe patterns of PA and sleep in children with DS; (2) compare PA and sleep between DS and non-DS; and (3) evaluate sensor data collection procedures. Searches were conducted in PubMed, Scopus, Web of Science, Embase, and SPORTDiscus, with the last search on 7 October 2025. Risk of bias was assessed with the Joanna Briggs Institute tools. From 203 records, 9 original studies were included. Children with DS (n = 8–66 participants; 1–67 months) showed small changes in movement rates over time and greater upper- than lower-limb movements. Segment-specific counts and time spent on high-intensity activity were lower in DS than non-DS. Overall, children with DS exhibited poor sleep quality, sleeping approximately one hour less than controls and 3–7 h below global recommendations. Sensor data collection protocols varied in epoch length (15–30 s), attachment site (wrist, ankle, and hip), and device model. Population-based research employing standardized sensor procedures is warranted to better establish PA levels and sleep quality in children with DS. Full article
(This article belongs to the Special Issue Wearable Technologies and Sensors for Health Monitoring)
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