Infrared Sensing and Thermal Imaging for Biomedical Engineering
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensing and Imaging".
Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 7558
Special Issue Editors
Interests: infrared thermography; functional infrared spectroscopy (fNIRS); electroencephalography (EEG); photoplethysmography (PPG); wearable sensors; affective computing; machine learning; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: infrared thermography; physical activity; sport sciences; cognition and exercise; health behavior
Interests: artificial intelligence methods; robotics and affective computing; human–machine interaction; processing methods and analysis of biomedical images and physiological signals; computer vision
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Infrared sensing is a non-invasive technique employed in several biomedical applications, from cardiovascular monitoring to neuroimaging. Particularly, infrared sensing is widely employed in clinical practice, affective computing, telemedicine applications, and sport science, as well as for research purposes. The diffusion of this methodology is fostered by the improvements of infrared detector technology, the growth in computational power, and the development of innovative algorithms for data analysis, such as novel approaches based on artificial intelligence. Moreover, infrared sensing is particularly suitable for multimodal integration, providing a complete investigation of the human psychophysiological condition.
The aim of this Special Issue is to promote the exchange of experiences, information and methods among developers of infrared sensors and researchers that use such technology for biomedical engineering applications. This synergistic cooperation will extend the infrared sensing application fields, favoring technological improvements and encouraging the development of innovative algorithms for data analysis, software, and procedures. Original papers that describe new research or innovative biomedical applications, as well as invited reviews on the topics, are welcome. We look forward to your participation in this Special Issue.
Dr. David Perpetuini
Dr. Damiano Formenti
Dr. Daniela Cardone
Prof. Dr. Nicola Ludwig
Guest Editors
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Keywords
- infrared thermography
- functional near-infrared spectroscopy
- photoplethysmography
- machine learning
- infrared sensors
- segmentation algorithm
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