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  4. Design and Implementation of an Automated Thermal Imaging Device for Lower Limb Prosthetic Applications

Design and Implementation of an Automated Thermal Imaging Device for Lower Limb Prosthetic Applications

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Author(s)
Pizarro, Daniel
•
Huegel, Joel C.
•
Diaz, Elias
•
Alemon, Beatriz
•
Herr, Hugh
•
Felix-Herran, Luis C.
Date Issued
December 18, 2025
Journal
Machines
Publisher
Multidisciplinary Digital Publishing Institute
Citation
Pizarro, D.; Huegel, J.C.; Diaz, E.; Alemon, B.; Herr, H.; Felix-Herran, L.C. Design and Implementation of an Automated Thermal Imaging Device for Lower Limb Prosthetic Applications. Machines 2026, 14, 1.
Version
Final published version
Abstract
Since elevated temperature and humidity may occur at the prosthetic socket–skin interface, it is essential to collect thermal data from the residual limb, as this information serves as an indicator of adverse effects such as irritation, postural problems, and significant damage to health. These data are obtained non-invasively through the execution of a thermal imaging (TI) procedure. However, the precision and repeatability of a TI procedure rely significantly on its execution technique. This work presents the design and implementation of a mechatronic device that automates a thermal imaging technique. The application of the device is in lower-limb prosthetics evaluation. The proposed system improves data acquisition consistency by reducing execution time and minimizing human error, thereby enhancing the reproducibility and reliability of thermal measurements. The introduced device, Thermal Imaging Booth, proposes an automated solution for TI standardization in clinical and research settings. By minimizing inconsistencies, this system improves the diagnostic potential of thermography, facilitating its adoption in biomedical applications.
MIT Department
Massachusetts Institute of Technology. Center for Extreme Bionics
Terms of Use
Creative Commons Attribution
https://creativecommons.org/licenses/by/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/164691
DOI of Published Version
http://dx.doi.org/10.3390/machines14010001
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