journal article·2022-04-21Open access

Automated and Controlled System for Analysis of Residual Limbs Thermograms of Transtibial Amputees

Mariana Ballesteros, Manuel A. Lopez-Perez, Rita Q. Fuentes-Aguilar, Pedro E. Chavarrias-Solano, Beatriz Alemón, Joel C. Huegel

Applied Sciences· Volume 12· Issue 9

Abstract

This work describes the development of a controlled cabin for capturing and analyzing thermal images. The motivation of such a device is to aid in the thermal image acquisition process within a confined space. The thermograms generated provide helpful information for analyzing the residual human limb in subjects with transtibial amputation. Such a study proposes a non-intrusive method to study the thermal activity on the amputee residual limb and seek a correlation to the quality of the socket. The proposed cabin ensures the repeatability of the thermograms acquisition process and provides an isolated workspace, thus improving the quality of the samples. The methodology consists of the design of the mechanical elements and parts of the system on computer-aided design software, the electronic instrumentation, a graphic user interface, and the control algorithm based on a barrier Lyapunov function to solve the trajectory tracking for the camera movements, and numerical simulations to illustrate the functionality and the manufacture of a prototype. The results obtained by implementing the control design on the automated cabin reveal that the thermal image acquisition process is completed following the desired trajectory with a mean squared tracking error of 0.0052. In addition, an example of the thermal images of two subjects and the results processing this class of pictures using the designed interface is shown.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Prosthetics and Rehabilitation Robotics · Infrared Thermography in Medicine · Muscle activation and electromyography studies

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Instituto Politécnico Nacional, CIDETEC and UPIBI, Gustavo A. Madero, Mexico City C.P. 07700, Mexico

Tecnologico de Monterrey, School of Engineering and Sciences, Zapopan C.P. 45201, Mexico

References (28)

Show source-provided references
1. Moerman, K.M., Solav, D., Sengeh, D., and Herr, H. (2016). Automated and Data-driven Computational Design of Patient-Specific Biomechanical Interfaces. Engrxiv.10.31224/osf.io/g8h9n ↗
2. Vitali, A., Regazzoni, D., Rizzi, C., and Colombo, G. (2017, January 3–9). Design and additive manufacturing of lower limb prosthetic socket. Proceedings of the ASME International Mechanical Engineering Congress and Exposition, Tampa, FL, USA.10.1115/IMECE2017-71494 ↗
3. A new design paradigm for the development of custom-fit soft sockets for lower limb prostheses10.1016/j.compind.2010.03.008 ↗
4. Percutaneous osseointegrated prostheses for amputees: Limb compensation in a 12-month ovine model10.1016/j.jbiomech.2011.08.020 ↗
5. Consequences of non-vascular trans-femoral amputation10.1080/03093640108726601 ↗
6. The design and testing of a composite lower limb prosthesis10.1243/0954411001535633 ↗
7. A full virtual approach to design and test lower limb prosthesis: This paper reports a software platform for design and validation of lower limb prosthesis in a completely virtual environment, potentially replacing current manual process10.1080/17452759.2013.797230 ↗
8. A Three-Dimensional Finite Element Model of the Transibial Residual Limb and Prosthetic Socket to Predict Skin Temperatures10.1109/TNSRE.2006.881532 ↗
9. Aguila, S.I., Sánchez, G.J., Sauvain, E.E., Alemon, B., Fuentes-Aguilar, R.Q., and Huegel, J.C. (2020). Interface Pressure System to Compare the Functional Performance of Prosthetic Sockets during the Gait in People with Trans-Tibial Amputation. Sensors, 20.10.3390/s20247043 ↗
10. Thermographic Patterns of the Upper and Lower Limbs: Baseline Data10.1155/2015/831369 ↗
11. Kirimtat, A., Krejcar, O., Selamat, A., and Herrera-Viedma, E. (2020). FLIR vs SEEK thermal cameras in biomedicine: Comparative diagnosis through infrared thermography. BMC Bioinform., 21.10.1186/s12859-020-3355-7 ↗
12. Automated analysis method for screening knee osteoarthritis using medical infrared thermography10.5405/jmbe.1054 ↗
13. Non-obstructive monitoring of muscle fatigue for low intensity dynamic exercise with infrared thermography technique10.1007/s11517-021-02387-x ↗
14. Kumar, P., Gaurav, A., Rajnish, R.K., Sharma, S., Kumar, V., Aggarwal, S., and Patel, S. (2021). Application of thermal imaging with infrared thermography in the field of Orthopaedics. J. Clin. Orthop. Trauma, 24.10.1016/j.jcot.2021.101722 ↗
15. Salazar-Gamarra, R., Seelaus, R., da Silva, J.V.L., da Silva, A.M., and Dib, L.L. (2016). Monoscopic photogrammetry to obtain 3D models by a mobile device: A method for making facial prostheses. J. Otolaryngol. Head Neck Surg., 45.10.1186/s40463-016-0145-3 ↗
16. Luhmann, T., Robson, S., Kyle, S., and Boehm, J. (2019). Close-Range Photogrammetry and 3D Imaging, de Gruyter.10.1515/9783110607253 ↗
17. Spong, M.W., Hutchinson, S., and Vidyasagar, M. (2020). Robot Modeling and Control, John Wiley & Sons.
18. Robust adaptive tracking for time-varying uncertain nonlinear systems with unknown control coefficients10.1109/TAC.2003.815049 ↗
19. When is a Mittag–Leffler function a Nussbaum function?10.1016/j.automatica.2009.03.020 ↗
20. Barrier Lyapunov functions for the control of output-constrained nonlinear systems10.1016/j.automatica.2008.11.017 ↗
21. Adaptive tracking control of state constraint systems based on differential neural networks: A barrier Lyapunov function approach10.1109/TNNLS.2020.2966914 ↗
22. Andrianova, O., Poznyak, A., Fuentes-Aguilar, R., and Chairez, I. (2021). Rational Continuous Neural Network Identifier for Singular Perturbed Systems with Uncertain Dynamical Models. IEEE Trans. Neural Netw. Learn. Syst.
23. Control of nonlinear systems with partial state constraints using a Barrier Lyapunov function10.1080/00207179.2011.631192 ↗
24. Non-singular terminal sliding-mode control for a manipulator robot using a barrier Lyapunov function
25. Poznyak, A. (2010). Advanced Mathematical Tools for Control Engineers: Volume 1: Deterministic Systems, Elsevier.
26. Adaptive output control of a mobile manipulator hanging from a quadcopter unmanned vehicle10.1016/j.isatra.2019.04.002 ↗
27. Output Second-order Sliding-mode Control for a Gecko Biomimetic Climbing Robot10.1007/s42235-019-0051-2 ↗
28. STMicroelectronics (2021). RM0008 Reference Manual, STMicroelectronics. [21st ed.].