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Virtual prototyping and physical experimentation of lower limb prosthesis

Published: 29 January 2020 Publication History

Abstract

Among rising technology in medical field, methods and solutions of reverse engineering have a high impact as a new possibility for improving the traditional processes to design prosthesis and orthoses. Furthermore, reverse engineering solutions allows managing a big amount of patient's data, which can be also exploited for making the medical assessment during rehabilitation activities more objective and measurable. In particular, innovative technologies permit to manage big amount of data coming from several IT devices in order to better understand the correlation between technical aspects and human factors. These IT devices can be exploited through customized software applications, which are able to combine many data types (e.g. 3D scanners, motion capture systems and pressure sensors). In this research work, the attention is focused on the design of lower limb prosthesis around the digital human model of the patient. We present a virtual platform composed by an ad-hoc developed application for customizing the prosthesis according to patients' life style and medical knowledge as well as for visualizing pressure on patient's limb while evaluating his/her gait in a unique virtual knowledge-guided environment. Such applications are conceived to be usable by non IT experts, and all information are directly visualized on the digital human model of the amputee. The first part of the paper introduces the whole platform to design lower limb prosthesis using low-cost technologies. Then, the virtual gait analysis tool is described. Finally, tests and conclusion are discussed.

References

[1]
Ye, X., Liu, H., Chen, L., Chen, Z., Pan, X., Zhang, S. (2008). Reverse innovative design---an integrated product design methodology. Computer-aided design, 40(7), 812--827.
[2]
Huang, T., Kong, C. W., Guo, H., Baldwin, A., & Li, H. (2007). A virtual prototyping system for simulating construction processes. Automation in construction, 16(5), 576--585.
[3]
Colombo, G., Facoetti, G., Rizzi, C., Vitali, A. (2015). SimplyNURBS: a software library to model nurbs for medical applications. Computer-Aided Design and Applications, 12(6), 794--802.
[4]
Regazzoni, D., Rizzi, C. (2016). Patients' evaluation based on digital motion acquisition. Computer-Aided Design and Applications, 13(6), 808--815.
[5]
Bartesaghi, S., Colombo, G. (2014). Knowledge extraction to automate CFD analysis in abdominal aneurysm diagnosis and treatment. International Journal of Information Technology and Management 9, 13(2-3), 176--201.
[6]
Vitali, A., D'Amico, L., Rizzi, C. (2016). Virtual Tailor for Garment Design. In International Conference on Virtual, Augmented and Mixed Reality Springer, Cham, 653--661.
[7]
Bonfanti, S., Gargantini, A., Vitali, A. (2015). A mobile application for the stereoacuity test. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Springer, Cham, 315--326.
[8]
Furini, F., Rossoni, M., Colombo, G. (2016). Knowledge based engineering and ontology engineering approaches for product development: Methods and tools for design automation in industrial engineering. In ASME 2016 International Mechanical Engineering Congress and Exposition,
[9]
Dou, M., Taylor, J., Fuchs, H., Fitzgibbon, A., & Izadi, S. (2015). 3D scanning deformable objects with a single RGBD sensor. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 493--501.
[10]
Hitomi, E. E., Silva, J. V., Ruppert, G. C. (2015). 3D scanning using RGBD imaging devices: A survey. In Developments in Medical Image Processing and Computational Vision. Springer, Cham, 379--395.
[11]
Mooney, J. J., Sarwani, N., Coleman, M. L., Fotos, J. S. (2017). Evaluation of three-dimensional printed materials for simulation by computed tomography and ultrasound imaging. Simulation in Healthcare, 12(3), 182--188.
[12]
Braganca, S., Arezes, P. M., & Carvalho, M. (2015). An overview of the current three-dimensional body scanners for anthropometric data collection. Arezes PM, Baptista JS, Barroso MP, Carneiro P, Cordeiro P, Costa N et al, 149--154.
[13]
Fasel, J. H., Aguiar, D., Kiss-Bodolay, D., Montet, X., Kalangos, A., Stimec, B. V., Ratib, O. (2016). Adapting anatomy teaching to surgical trends: a combination of classical dissection, medical imaging, and 3D-printing technologies. Surgical and radiologic anatomy, 38(3), 361--367.
[14]
Domínguez, M. G., Hernández, C., Ruisoto, P., Juanes, J. A., Prats, A., Hernández, T. (2016). Morphological and volumetric assessment of cerebral ventricular system with 3D slicer software. Journal of medical systems, 40(6), 154.
[15]
Materialise. Services for medical and manufacturing. URL http://www.materialise.com/en/home.
[16]
3DSlicer. Open source software platform for medical image informatics. URL https://www.slicer.org/.
[17]
Autodesk. Meshmixer. URL http://www.meshmixer.com/.
[18]
Blender. URL https://www.blender.org/.
[19]
Colombo, G., Regazzoni, D., Rizzi, C. (2013). Ergonomic design through virtual Humans. Computer-Aided Design and Applications, 10(5), 745--755.
[20]
Colombo, G., Comotti, C., Regazzoni, D., Rizzi, C., Vitali, A. (2016). Visual representation of dynamic pressure map on the digital human model of patient with a lower limb prosthesis. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management Springer, Cham, 140--149.
[21]
Comotti, C., Regazzoni, D., Rizzi, C., Vitali, A. (2015). Multi-material design and 3D printing method of lower limb prosthetic sockets. In Proceedings of the 3rd 2015 Workshop on ICTs for improving Patients Rehabilitation Research Techniques, ACM, 42--45.
[22]
Tekscan. https://www.tekscan.com/.
[23]
Regazzoni, D., Rizzi, C., Vitali, A. (2017). An overview of open source software systems for smart development of virtual environments. In International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Springer, Cham, 358--368.
[24]
iPi Motion Capture system. http://ipisoft.com/.

Cited By

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  • (2024)Bioinspired Design of 3D-Printed Cellular Metamaterial Prosthetic Liners for Enhanced Comfort and StabilityBiomimetics10.3390/biomimetics90905409:9(540)Online publication date: 6-Sep-2024
  • (2022)Automated 3D Scanning Device for the Production of Forearm Prostheses and OrthosesXXVII Brazilian Congress on Biomedical Engineering10.1007/978-3-030-70601-2_45(293-300)Online publication date: 15-Apr-2022
  • (2020)Lower Limb Inter-Joint Coordination of Unilateral Transfemoral Amputees: Implications for Adaptation ControlApplied Sciences10.3390/app1012407210:12(4072)Online publication date: 12-Jun-2020

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cover image ACM Other conferences
REHAB '19: Proceedings of the 5th Workshop on ICTs for improving Patients Rehabilitation Research Techniques
September 2019
196 pages
ISBN:9781450371513
DOI:10.1145/3364138
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 January 2020

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Author Tags

  1. 3D modelling
  2. health informatics
  3. marker-less motion capture system
  4. pressure data
  5. user centered design

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Cited By

View all
  • (2024)Bioinspired Design of 3D-Printed Cellular Metamaterial Prosthetic Liners for Enhanced Comfort and StabilityBiomimetics10.3390/biomimetics90905409:9(540)Online publication date: 6-Sep-2024
  • (2022)Automated 3D Scanning Device for the Production of Forearm Prostheses and OrthosesXXVII Brazilian Congress on Biomedical Engineering10.1007/978-3-030-70601-2_45(293-300)Online publication date: 15-Apr-2022
  • (2020)Lower Limb Inter-Joint Coordination of Unilateral Transfemoral Amputees: Implications for Adaptation ControlApplied Sciences10.3390/app1012407210:12(4072)Online publication date: 12-Jun-2020

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