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Advances in Computational Intelligence in Materials Science

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1st International Conference on Emerging Trends in Mechanical Sciences for Sustainable Technologies

Design and Development of Exoskeleton Hand for Paraplegic (SCI) Patients Using Composite Materials

Gowtham S, Kavin Kumaar S S, Gowtham T and Theena Dhayalan V, Department of Mechanical Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India.


Online First : 07 June 2023
Publisher Name : AnaPub Publications, Kenya.
ISSN (Online) : 2960-2408
ISSN (Print) (Online) : 2960-2394
ISBN (Online) : 978-9914-9946-6-7
ISBN (Print) : 978-9914-9946-7-4
Pages : 150-160

Abstract


Paraplegia is a condition that results from spinal cord injury and accomplishes the deficiency of sensation and engine cutoff in both upper and lower farthest core interests. The use of exoskeletons has been proposed as a potential solution for SCI patients to regain some of their mobility. This article discusses the sketch and evolution of an exoskeleton for paraplegic SCI patients made from composite materials. The exoskeleton was intended to be soft and lightweight, and offer the client with the support individuals to stand, walk, hold objects, and write. The use of mechanical devices in nerve medicines, demands the availability of lightweight, user-friendly, cost effective, and adaptable designs. These objectives have been built into Exo-Hand in case they become essential. It is a hand exoskeleton that is especially helpful for those who have finger spasticity. Therefore it's simple to place in the hand and allows for similar finger improvement via both flexion and an actuation plan. The mechanical strategy, the sequence of events, and the incorporation of the device's kinematic model are the primary elements of this work. The design process involved the use of solidworks software, finite element analysis (FEA), and rapid prototyping techniques. The final design was tested on a paraplegic patient with positive results.

Keywords


Exoskeleton, Spinal Cord Injury, Composite Materials, Mobility Aids, Assistive Technology, Prosthetics and Orthopedics.

  1. S. Gowtham et al., “A Survey on Additively Manufactured Nanocomposite Biomaterial for Orthopaedic Applications,” Journal of Nanomaterials, vol. 2022, pp. 1–7, Jun. 2022, doi: 10.1155/2022/8998451.
  2. P. R. Ong and N. T. Bugtai, “A bio-inspired design of a hand robotic exoskeleton for rehabilitation,” AIP Conference Proceedings, 2018, doi: 10.1063/1.5023978.
  3. V. Moreno-SanJuan, A. Cisnal, J.-C. Fraile, J. Pérez-Turiel, and E. de-la-Fuente, “Design and characterization of a lightweight underactuated RACA hand exoskeleton for neurorehabilitation,” Robotics and Autonomous Systems, vol. 143, p. 103828, Sep. 2021, doi: 10.1016/j.robot.2021.103828.
  4. M. Haghshenas-Jaryani, R. M. Patterson, N. Bugnariu, and M. B. J. Wijesundara, “A pilot study on the design and validation of a hybrid exoskeleton robotic device for hand rehabilitation,” Journal of Hand Therapy, vol. 33, no. 2, pp. 198–208, Apr. 2020, doi: 10.1016/j.jht.2020.03.024.
  5. T. Ableitner, S. Soekadar, C. Strobbe, A. Schilling, and G. Zimmermann, “Interaction techniques for a neural-guided hand exoskeleton,” Procedia Computer Science, vol. 141, pp. 442–446, 2018, doi: 10.1016/j.procs.2018.10.164.
  6. M. Pan et al., “Soft Actuators and Robotic Devices for Rehabilitation and Assistance ,” Sep. 2021, doi: 10.22541/au.163250264.44358700/v1.
  7. Aaron Yurkewich, Sara Ortega , Jose Sanchez, Rosalie H Wang and Etienne Burdet (2021), Integrating hand exoskeletons into goal-oriented clinic and home stroke and spinal cord injury rehabilitation, https://doi.org/10.1177/20556683221130970.
  8. Noronha and D. Accoto, “Exoskeletal Devices for Hand Assistance and Rehabilitation: A Comprehensive Analysis of State-of-the-Art Technologies,” IEEE Transactions on Medical Robotics and Bionics, vol. 3, no. 2, pp. 525–538, May 2021, doi: 10.1109/tmrb.2021.3064412.
  9. M. Li et al., “An Attention-Controlled Hand Exoskeleton for the Rehabilitation of Finger Extension and Flexion Using a Rigid-Soft Combined Mechanism,” Frontiers in Neurorobotics, vol. 13, May 2019, doi: 10.3389/fnbot.2019.00034.
  10. K. Xia et al., “Hand Exoskeleton Design and Human–Machine Interaction Strategies for Rehabilitation,” Bioengineering, vol. 9, no. 11, p. 682, Nov. 2022, doi: 10.3390/bioengineering9110682.
  11. M. Bianchi,a, M. Cempinib, R. Contia, E. Melia, A. Ridolfia, N. Vitiellob,c, B. Allottaa,c(2018), Design of a series elastic transmission for hand exoskeletons, https://doi.org/10.1016/j.mechatronics.2018.02.010.
  12. M. Dragusanu, D. Troisi, A. Villani, D. Prattichizzo, and M. Malvezzi, “Design and Prototyping of an Underactuated Hand Exoskeleton With Fingers Coupled by a Gear-Based Differential,” Frontiers in Robotics and AI, vol. 9, Mar. 2022, doi: 10.3389/frobt.2022.862340.
  13. Yu Li1,a, Xingyu Gao1, Bin Liao, YanhuaPeng, YuJing Chen (2021), Research progress of exoskeleton for hand rehabilitation following stroke, https://doi.org/10.1088/1742-6596/1820/1/012076.
  14. Daniele Esposito 1, Jessica Centracchio1, Emilio Andreozzi1, Sergio Savino2, Gaetano D. Gargiulo3, Ganesh R. Naik4 and Paolo Bifulco1 (2022), Design of a 3D-printed hand exoskeleton based on force-myography control for assistance and rehabilitation, https://doi.org/10.3390/machines10010057.
  15. Tiaan du Plessis 1, KarimDjouani2,3 and ChristiaanOosthuizen 1 (2021), A review of active hand exoskeletons for rehabilitation and assistance, https://doi.org/10.3390/robotics10010040.
  16. C.-Y. Chu and R. M. Patterson, “Soft robotic devices for hand rehabilitation and assistance: a narrative review,” Journal of NeuroEngineering and Rehabilitation, vol. 15, no. 1, Feb. 2018, doi: 10.1186/s12984-018-0350-6.
  17. TommasoProietti, Nathanael Jarrass ̈ e, Agn ́ es Roby-Brami, and Guillaume Morel (2019), Adaptive control of a robotic exoskeleton for neurorehabilitation.
  18. Oscar Sandoval-Gonzalez1, Juan Jacinto-Villegas2, Ignacio Herrera-Aguilar1, Otniel Portillo-Rodiguez3, Paolo Tripicchio2, Miguel Hernandez-Ramos1, Agustín Flores-Cuautle1,4 and Carlo Avizzano2 (2016), Design and development of a hand exoskeleton robot for active and passive rehabilitation, https://doi.org/10.5772/62404.
  19. Yong Dai, 1JunhongJi, 2GuocaiYang, 2and Yu Yang 1 (2022), A novel robotic exoskeleton for finger rehabilitation: kinematics analysis, https://doi.org/10.1155/2022/1751460.
  20. FL. BIROUAS, FL. AVRAM, AR. NILGESZ, VL. MIHALCA (2018), A review regarding hand exoskeleton technologies for rehabilitation, https://doi.org/10.17667/riim.2018.1/9.
  21. Ke Li 1, Zhengzhen Li 1, Haibin Zeng2 and Na Wei 3 (2021), Control of newly-designed wearable robotic hand exoskeleton based on surface electromyography signals, https://doi.org/10.3389/fnbot.2021.711047.
  22. Xinyu Guan, LinhongJi and Rencheng Wang (2016), Development of exoskeletons and applications on rehabilitation, https://doi.org/10.1051/matecconf/20164002004.
  23. F. Molteni, G. Gasperini, G. Cannaviello, and E. Guanziroli, “Exoskeleton and End‐Effector Robots for Upper and Lower Limbs Rehabilitation: Narrative Review,” PM&R, vol. 10, no. 9S2, Sep. 2018, doi: 10.1016/j.pmrj.2018.06.005..
  24. Neha Singh1, Megha Saini1, Nand Kumar2, M. V. Padma Srivastava3 and Amit Mehndiratta1, 4 (2021), Evidence of neuroplasticity with robotic hand exoskeleton for post-stroke rehabilitation: a randomized controlled trial, https://doi.org/10.1186/s12984-021-00867-7.
  25. Feiyun Xiao a,b, Liang Gua, Wenzhang Ma a, Yanhe Zhu c, Zhen Zhang d, Yong Wang a ,b, Real time motion intention recognition method with limited number of surface electromyography sensors for A 7-DOF hand/wrist rehabilitation exoskeleton, https://doi.org/10.1016/j.mechatronics.2021.102642.
  26. Lince, N. Celadon, A. Battezzato, A. Favetto, S. Appendino, P. Ariano,M. Paleari, Design and testing of an under-actuated surface EMG-driven hand exoskeleton, in: 2017 Int. Conf. Rehabil. Robot. IEEE, 2017, https://doi.org/10.1109/ICORR.2017.8009325.
  27. M.O. Ajayi, K. Djouani, Y. Hamam, Interaction control for human-exoskeletons, J. Control Sci. Eng. 2020 (2020) https://doi.org/10.1155/2020/8472510.
  28. M. Sarac, M. Solazzi, and A. Frisoli, “Design Requirements of Generic Hand Exoskeletons and Survey of Hand Exoskeletons for Rehabilitation, Assistive, or Haptic Use,” IEEE Transactions on Haptics, vol. 12, no. 4, pp. 400–413, Oct. 2019, doi: 10.1109/toh.2019. 2924881..
  29. H. Kawasaki, S. Ueki, S. Ito, and T. Mouri, “Design and Control of a Hand-Assist Robot with Multiple Degrees of Freedom for Rehabilitation Therapy,” Robotic Systems, pp. 838–873, 2020, doi: 10.4018/978-1-7998-1754-3.ch043.
  30. R. J. Varghese, D. Freer, F. Deligianni, J. Liu, and G.-Z. Yang, “Wearable Robotics for Upper-Limb Rehabilitation and Assistance,” Wearable Technology in Medicine and Health Care, pp. 23–69, 2018, doi: 10.1016/b978-0-12-811810-8.00003-8.

Cite this article


Gowtham S, Kavin Kumaar S S, Gowtham T and Theena Dhayalan V, “Design and Development of Exoskeleton Hand for Paraplegic (SCI) Patients Using Composite Materials”, Advances in Computational Intelligence in Materials Science, pp. 150-160, June. 2023. doi:10.53759/acims/978-9914-9946-6-7-20

Copyright


© 2023 Gowtham S, Kavin Kumaar S S, Gowtham T and Theena Dhayalan V. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.