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Advanced Sensors for Human Health Management
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Advanced Sensors for Human Health Management

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

Deadline for manuscript submissions: 25 March 2026 | Viewed by 952

Special Issue Editors

Dr. Ye Tian

E-Mail Website
Guest Editor
Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA
Interests: wearable or implantable devices; health management; wearable photoacoustic probe; electronics-free wireless strain sensors
Prof. Dr. Emiliano Schena

E-Mail Website
Guest Editor
Laboratory of Measurements and Biomedical Instrumentation, Università Campus Bio-Medico di Roma, 00128 Rome, Italy
Interests: physiological monitoring; wearable systems; wearable sensors; physiological measurements; active living; cardiorespiratory monitoring; soft sensors
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Panicos Kyriacou

E-Mail Website
Guest Editor
Biomedical Engineering Research Centre, School of Science and Technology, City St George’s, University of London, Northampton Square, London EC1V 0HB, UK
Interests: tissue optics; chemometrics; optical sensors; wearable devices; photoplethysmography; pulse oximetry; blood and tissue perfusion; biomedical sensors and instrumentation; physiological/clinical measurement; spectrophotometry; bioinstrumentation
Special Issues, Collections and Topics in MDPI journals
Dr. Matiar Howlader

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, McMaster University, 1280 Main Street West, Hamilton, ON L8S 4K1, Canada
Interests: soft and hard materials integration; wearable electrochemical sensors; sweat pH and glucose sensing; glutamate sensing; cannabis sensing; water pH and heavy metals sensing; two-dimensional nanomaterials; energy harvesting; surface activated nanobonding
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The rapid advancement of sensor technology has revolutionized human health management by enabling real-time monitoring, early disease detection, and personalized healthcare solutions. From wearable devices to implantable biosensors, these innovations are transforming medical diagnostics, treatment strategies, and preventive care. This Special Issue aims to bring together original research and review articles on the latest developments, applications, and challenges in advanced sensors for human health management.

 Potential topics include, but are not limited to, the following:

  • Wearable or implantable sensors;
  • Flexible and stretchable electronics;
  • Wireless medical sensor networks;
  • Non-invasive/invasive health monitoring technology;
  • Smart healthcare systems;
  • Personalized medicine;
  • Artificial intelligence in health monitoring;
  • Multi-modal health sensing;
  • Physiological data analysis;
  • Automated diagnosis technology;
  • Disease diagnosis and treatment.

Dr. Ye Tian
Prof. Dr. Emiliano Schena
Prof. Dr. Panicos Kyriacou
Dr. Matiar Howlader  
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

  • health monitoring
  • disease diagnosis
  • medical sensors
  • healthcare
  • sensing

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Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

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14 pages, 1289 KiB  
Article
Method for Extracting Arterial Pulse Waveforms from Interferometric Signals
by Marian Janek, Ivan Martincek and Gabriela Tarjanyiova
Sensors 2025, 25(14), 4389; https://doi.org/10.3390/s25144389 - 14 Jul 2025
Viewed by 229
Abstract
This paper presents a methodology for extracting and simulating arterial pulse waveform signals from Fabry–Perot interferometric measurements, emphasizing a practical approach for noninvasive cardiovascular assessment. A key novelty of this work is the presentation of a complete Python-based processing pipeline, which is made [...] Read more.
This paper presents a methodology for extracting and simulating arterial pulse waveform signals from Fabry–Perot interferometric measurements, emphasizing a practical approach for noninvasive cardiovascular assessment. A key novelty of this work is the presentation of a complete Python-based processing pipeline, which is made publicly available as open-source code on GitHub (git version 2.39.5). To the authors’ knowledge, no such repository for demodulating these specific interferometric signals to obtain a raw arterial pulse waveform previously existed. The proposed system utilizes accessible Python-based preprocessing steps, including outlier removal, Butterworth high-pass filtering, and min–max normalization, designed for robust signal quality even in settings with common physiological artifacts. Key features such as the rate of change, the Hilbert transform of the rate of change (envelope), and detected extrema guide the signal reconstruction, offering a computationally efficient pathway to reveal its periodic and phase-dependent dynamics. Visual analyses highlight amplitude variations and residual noise sources, primarily attributed to sensor bandwidth limitations and interpolation methods, considerations critical for real-world deployment. Despite these practical challenges, the reconstructed arterial pulse waveform signals provide valuable insights into arterial motion, with the methodology’s performance validated on measurements from three subjects against synchronized ECG recordings. This demonstrates the viability of Fabry–Perot sensors as a potentially cost-effective and readily implementable tool for noninvasive cardiovascular diagnostics. The results underscore the importance of precise yet practical signal processing techniques and pave the way for further improvements in interferometric sensing, bio-signal analysis, and their translation into clinical practice. Full article
(This article belongs to the Special Issue Advanced Sensors for Human Health Management)
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Review

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24 pages, 8671 KiB  
Review
Tactile Interaction with Socially Assistive Robots for Children with Physical Disabilities
by Leila Mouzehkesh Pirborj, Caroline Mills, Robert Gorkin III and Karthick Thiyagarajan
Sensors 2025, 25(13), 4215; https://doi.org/10.3390/s25134215 - 6 Jul 2025
Viewed by 430
Abstract
Children with physical disabilities are increasingly using socially assistive robots (SARs) as part of therapy to enhance motivation, engagement, enjoyment, and adherence. Research on SARs in rehabilitation has primarily focused on verbal and visual interaction, but little is known about tactile interaction (physical [...] Read more.
Children with physical disabilities are increasingly using socially assistive robots (SARs) as part of therapy to enhance motivation, engagement, enjoyment, and adherence. Research on SARs in rehabilitation has primarily focused on verbal and visual interaction, but little is known about tactile interaction (physical touch). The objective of this scoping review was to examine empirical studies published between 2010 and 2024 focusing on tactile interaction between SARs and children with physical disabilities, such as cerebral palsy (CP). Nine studies were identified as being eligible after a rigorous selection process, showing that although touch-based SAR interventions have been used in pediatric rehabilitation, structured methodologies and standardized tools are lacking for measuring tactile engagement. In light of the studies’ findings, it is evident that few studies evaluate the therapeutic effects of touch-sensitive SARs, underscoring the need for validated frameworks to assess their efficacy. In this review, SAR and tactile sensing researchers, rehabilitation specialists, and designers are given critical insights into how tactile interaction can enhance the role of SARs in physical therapy. Full article
(This article belongs to the Special Issue Advanced Sensors for Human Health Management)
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