Abstract
Severe scoliosis affects adolescent cardiopulmonary development. Brace treatment is currently a commonly used method for conservative treatment of scoliosis, but the principle of correcting scoliosis by squeezing ribs of the chest cavity causes compression of the chest cavity when worn. This paper introduces the design of a controllable soft drive to assist in the correction of scoliosis. The soft drive can pull when the spine is in a lateral curve to correct the spinal curvature without indirectly exerting pressure on the chest. The spine has multiple degrees of freedom. In order to meet this challenge, a new soft structure has been designed to achieve segmented multi-degree-of-freedom pulling motion, it is more in line with the movement of the body, while correcting scoliosis, the controllable soft drive will not affect the normal spine movement. The model was simulated and analyzed, and the displacement and force were further compared. The results show that this is a feasible spinal correction scheme.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Law, D., Cheung, M. C., Yip, J., et al. (2016). Scoliosis brace design: influence of visual aesthetics on user acceptance and compliance. Ergonomics, 60(6), 1–28.
Negrini, S., & Grivas, T. B. (2010). Introduction to the “Scoliosis” journal brace technology thematic series: increasing existing knowledge and promoting future developments. Scoliosis, 5(1), 2.
Bache, B. A., Iftikhar, O., Dehzangi, O. (2017). Brace treatment monitoring solution for idiopathic scoliosis patients. In 2017 16th IEEE international conference on machine learning and applications (ICMLA), Cancun, pp. 580–585. https://doi.org/10.1109/icmla.2017.00-98.
Weiss, H. R., Tournavitis, N., Nan, X., et al. (2017). Workflow of CAD/CAM scoliosis brace adjustment in preparation using 3D printing. The Open Medical Informatics Journal, 11(1), 44–51.
Wang, Z., Polygerinos, P., Overvelde, J. T. B., et al. (2017). Interaction forces of soft fiber reinforced bending actuators. IEEE/ASME Transactions on Mechatronics, 22(2), 717–727.
Peng, J. G., Li, D. K., Chen, D., et al. (2016). Comparison the characteristics of the finite element analysis software by the application in iron-based powder metallurgy industry. Powder Metallurgy Technology, 34(6), 461–466.
Lu, X. M., Xu, W., Li, X. (2015). Concepts and simulations of a soft robot mimicking human tongue. In 2015 6th international conference on automation, robotics and applications (ICARA), Queenstown, pp. 332–336. https://doi.org/10.1109/icara.2015.7081169.
Adriana, Č., Lana, V., Igor, K. (2017). Stress analysis of abdominal aortic aneurysm. Zbornik radova Osmog susreta Hrvatskog društva za mehaniku/Penava, Davorin; Guljaš, Ivica; Bošnjak Klečina, Mirjana, pp. 43–48.
Perruisseau-Carrier, A., Bahlouli, N., & Bierry, G. et al. (2017). Comparison between isotropic linear-elastic law and isotropic hyperelastic law in the finite element modeling of the brachial plexus. Annales de Chirurgie Plastique Esthetique, 62(6), 664–668.
Scharich, N., Schniter, B., Herbert, A. et al. (2017). Battery management system using Arduino. In 2017 IEEE Technology & Engineering Management Conference (TEMSCON), Santa Clara, CA, pp. 384–387. https://doi.org/10.1109/temscon.2017.7998405.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The study was supported by Key projects of national key research and development plan (2017YFF0207400): Research on key technologies and important standards of health services and remote health monitoring for the elderly and the disabled.
Rights and permissions
Copyright information
© 2020 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Chen, L., Li, Y., Han, L., Yuan, L., Sun, Y., Tang, X. (2020). Design and Simulation of Controllable Soft Drive for Exoskeleton Robot. In: Elderly Health Services and Remote Health Monitoring. SpringerBriefs in Applied Sciences and Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-7154-1_4
Download citation
DOI: https://doi.org/10.1007/978-981-15-7154-1_4
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-7153-4
Online ISBN: 978-981-15-7154-1
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)