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Infrared/Thermal Imaging for Biomedical Applications: From Diagnostics, Therapy to Rehabilitation

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

Deadline for manuscript submissions: closed (10 March 2025) | Viewed by 2412

Special Issue Editors


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Guest Editor
Department of Biomedical Engineering, Gdańsk University of Technology, Gdańsk, Poland
Interests: measurement and diagnostic instrumentation & data acquisition systems; modelling and simulation in non-invasive medical diagnostics; visualization and reconstruction methods; passive and active thermography in medicine; use of informatics & telematics in research and education
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Mechanical & Aerospace Engineering (MAE), College of Engineering, Nanyang Technological University (NTU), Singapore 639798, Singapore
Interests: computational fluid dynamics (CFD); blade element momentum (BEM) analysis; inverse BEM; machine learning; deep learning; convolutional neural networks (CNNs); long short-term memory (LSTM) networks; pattern recognition; feature extraction; numerical simulations; urban climate modeling; wind turbine aerodynamics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Recent advances of sensor technology in infrared and thermal imaging, combined with modern deep learning and artificial intelligence algorithms applied for the interpretation of digital content, are pushing biomedical applications in diagnostics, early screening, quantitative evaluation of data, including the development and evaluation of diagnostic and therapeutic procedures in medicine, veterinary, sport as well as in physiology and psychology studies. Multimodality data are key factors for the improvement of the quantitative description of biomedical data and improvement of diagnostic, treatment and rehabilitation quality. This Special Issue of Sensors is devoted to discussing and reporting on novel applications of sensor technology, especially those developed to meet the requirements of biomedical expectations as well as the use of versatile commercially available instruments and systems adapted for such applications. Paper proposals describing specific applications of static and dynamic thermography in diagnostics, therapy, rehabilitation, screening, development of safety systems, biometrics, etc., are welcome. New procedures, algorithms and solutions at the preclinical stage as well as the results of broad clinical studies are of special interest. If we publish a certain number of high-quality papers, the issue will be published as a specialized monograph book. Topics of interest include, but are not limited to:

  • Infrared and thermal imaging;
  • Diagnostics, therapy, rehabilitation quality;
  • Medicine, veterinary, sport, physiology, psychology;
  • Quantitative analysis;
  • Biomedical sensing;
  • Deep learning and artificial intelligence algorithms;
  • Functional near-infrared spectroscopy;
  • Passive and active thermography;
  • Non-invasive medical diagnostics;
  • Visualization and reconstruction methods;
  • Multimodality data fusion.

Prof. Dr. Nowakowski Antoni Zbigniew
Dr. Eddie YK Ng
Guest Editors

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Keywords

  • machine learning
  • biomedical imaging
  • infrared sensor
  • thermography

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Published Papers (1 paper)

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Research

12 pages, 2560 KiB  
Article
Preliminary Application of Infrared Thermography to Monitoring of Skin Temperature Asymmetries in Professional Padel Players
by Alberto De León-Muñoz, Jose Ignacio Priego-Quesada, Joaquín Martín Marzano-Felisatti, Jose Luis Sanchez-Jimenez, Carlos Sendra-Pérez and Inmaculada Aparicio-Aparicio
Sensors 2024, 24(14), 4534; https://doi.org/10.3390/s24144534 - 13 Jul 2024
Cited by 2 | Viewed by 1469
Abstract
The aim of the present study was to evaluate skin temperature (Tsk) asymmetries, using infrared thermography, in professional padel players before (PRE), after (POST) and 10 min after training (POST10), and their relationship with perceptual variables and training characteristics. Thermal images were taken [...] Read more.
The aim of the present study was to evaluate skin temperature (Tsk) asymmetries, using infrared thermography, in professional padel players before (PRE), after (POST) and 10 min after training (POST10), and their relationship with perceptual variables and training characteristics. Thermal images were taken of 10 players before, after and 10 min after a standardized technical training. After training, Tsk of the dominant side was higher than before training in the anterior forearm (30.8 ± 0.4 °C vs. 29.1 ± 1.2 °C, p < 0.01; ES = 1.9), anterior shoulder (31.6 ± 0.6 °C vs. 30.9 ± 0.6 °C, p < 0.05; ES = 1.0) posterior arm (29.5 ± 1.0 °C vs. 28.3 ± 1.2 °C, p < 0.05; ES = 1.0), and posterior forearm (30.8 ± 0.9 °C vs. 29.3 ± 1.6 °C, p < 0.05; ES = 1.1). Likewise, these differences were significant POST10 in the anterior arm, anterior forearm, anterior shoulder, posterior arm and posterior forearm. Comparing the different moments of measurement (PRE, POST and POST10), the temperature was higher POST10 in all the regions analyzed except for the shoulder, abdominals, and lower back. Also, correlations were found between fatigue variation and temperature variation between limbs (Tsk dominance), and no correlation was found except between age and posterior thigh (|r| = 0.69; p < 0.05), and between the racket mass and anterior knee (|r| = 0.81; p < 0.01). In conclusion, infrared thermography allows monitoring of skin asymmetries between limbs in professional padel players, but these asymmetries were not related to overall fatigue variation, overall pain variation, years of experience and training hours. Full article
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