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Smart Sensing for Healthcare Transformation

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

Deadline for manuscript submissions: 30 December 2025 | Viewed by 367

Special Issue Editor


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Guest Editor
1. Department for Clinical Science, Intervention and Technology, Karolinska Institutet, Stockholm, Sweden
2. Department of Medical Care Technologies, Biomedical Engineering, Karolinska University Hospital, Stockholm, Sweden
3. Swedish School of Textiles, University of Borås, Borås, Sweden
Interests: electrical bioimpedance smart textiles; biomedical engineering; biomedical instrumentation; biomedical signal processing; wearable sensors
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The healthcare sector is undergoing a transformative shift, driven by advances in sensing technologies and data analytics. Smart sensing systems are at the forefront of this transformation, enabling real-time data collection, analysis, and application to improve healthcare delivery. These technologies are redefining care models by optimizing workflows, enhancing clinical decision-making, and enabling personalized and preventive care.

This Special Issue invites contributions that explore innovations in smart sensing and its role in healthcare transformation. Topics of interest include, but are not limited to, the following:

  • Development and application of wearable and implantable sensors for real-time health monitoring.
  • Integration of real-time location systems and process mining to optimize care workflows.
  • Sensing technologies supporting operational excellence and high-value care delivery.
  • Novel methods for using sensor data to enhance patient outcomes and engagement.
  • Challenges in implementing smart sensing in clinical settings, including interoperability and data security.

We welcome the submission of original research, reviews, and case studies that demonstrate the potential of smart sensing to address critical challenges in healthcare and pave the way for more efficient, patient-centered, and sustainable systems.

  • Topic fit:

This Special Issue, entitled "Smart Sensing for Healthcare Transformation", aligns seamlessly with the mission of and fits within the scope of Sensors. Healthcare is a critical area where sensor technologies are driving significant advancements, and this Special Issue emphasizes the transformative role of smart sensing in this domain.

The development of wearable sensors, real-time location systems, and environmental sensors directly aligns with the journal’s focus on innovative sensing technologies. Tools such these are key to enabling real-time health monitoring, optimizing care workflows, and delivering personalized and preventive healthcare, showcasing the practical and impactful applications of sensor science.

Moreover, this Special Issue highlights the integration of sensing technologies with advanced data analysis methods, such as process mining and artificial intelligence, to extract actionable insights. This reflects the journal’s commitment to exploring interdisciplinary approaches that enhance sensor functionality and applicability.

By addressing the critical challenges of modern healthcare—such as efficiency, workflow optimization, and patient-centered care—this topic resonates with Sensors’ goal of advancing sensor science to solve real-world problems. It provides a platform for researchers to share cutting-edge work and demonstrates how sensors can redefine healthcare delivery, making it more efficient, responsive, and sustainable.

Prof. Dr. Fernando Seoane
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 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

  • wearable sensors
  • real-time location systems
  • environmental sensors
  • healthcare transformation
  • personalized care

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Published Papers (1 paper)

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Research

13 pages, 1990 KiB  
Article
Agreement Between a Pre-Markered T-Shirt and Manual Marker Placement for Opto-Electronic Plethysmography (OEP) Measures
by Nayani G. Adhikari, Eugénie Hunsicker, Matthew T. G. Pain, John W. Dickinson and Samantha L. Winter
Sensors 2025, 25(14), 4464; https://doi.org/10.3390/s25144464 - 17 Jul 2025
Viewed by 172
Abstract
Opto-electronic plethysmography (OEP) is used to measure chest wall compartment volumes and their synchronisation. Breathing pattern disorder (BPD) can be distinguished using the phase angles between these chest wall compartments during exercise. However, the time taken to manually place the standard OEP model [...] Read more.
Opto-electronic plethysmography (OEP) is used to measure chest wall compartment volumes and their synchronisation. Breathing pattern disorder (BPD) can be distinguished using the phase angles between these chest wall compartments during exercise. However, the time taken to manually place the standard OEP model involving 89 reflective markers is high during clinical application. The purpose of this study was to investigate the use of a pre-markered T-shirt instead of markers applied directly to the skin at rest, during different exercise intensities and recovery. Thirty-nine healthy participants (24 male, 15 female) aged 18–40 years performed an incremental cycling test with the skin-mounted OEP marker set. Participants then repeated the same cycling test with a pre-markered T-shirt. Across all test conditions, the T-shirt showed a strong level of agreement (Intraclass correlation coefficient (ICC) ≥ 0.9) with the standard breath-by-breath (BbB) gas analyser. Moreover, ICC values exceeded 0.8 for compartment contributions across all test conditions, indicating excellent agreement with the skin-mounted markers. The phase angles between compartments showed the best agreement during the moderate exercise level (0.6 < ICC < 0.8). In conclusion, the pre-markered T-shirt presents a viable solution for the quick monitoring of breathing patterns, as well as an effective tool in diagnosing BPD during exercise. Full article
(This article belongs to the Special Issue Smart Sensing for Healthcare Transformation)
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