Volume 20, Issue 1 (January 2020)                   Modares Mechanical Engineering 2020, 20(1): 1-12 | Back to browse issues page

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Dehghan Neistanak V, M. Moghaddam M, Abbasi Moshaei A. Design of a Hand Tendon Injury Rehabilitation System using a DOF Constrainer Mechanism. Modares Mechanical Engineering 2020; 20 (1) :1-12
URL: http://mme.modares.ac.ir/article-15-24961-en.html
1- Applied Design Department, Mechanical Engineering Faculty, Tarbiat Modares University, Tehran, Iran
2- Applied Design Department, Mechanical Engineering Faculty, Tarbiat Modares University, Tehran, Iran , m.moghadam@modares.ac.ir
Abstract:   (5409 Views)

Rehabilitation is a process in which the patient achieves his/her lost ability and individual independence in performing their daily activities using numerous facilities and equipment. About 30% of human life-threatening injuries are related to their hand. The human hand, as one of the most important organs of the human body in interacting with the environment, has the greatest role in maintaining individual independence in daily work. In this article, a rehabilitation system has been designed for hand tendon injury using observations of traditional rehabilitation of hand injuries after surgery and recovery period, and through a mechanism based on structures restricting undesirable degrees of freedom. The mechanism used in this design has been selected by considering conventional tendon injury rehabilitation exercises. In this way, the system can easily bend the finger over the marked joint by using a tendon shape mechanism, which applies force on the tip of the finger. The process of system designing is completed using a prototype to examine the method of operation as well as to obtain the required forces for choosing electrical elements.

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Article Type: Original Research | Subject: Biomechanics
Received: 2018/09/9 | Accepted: 2019/04/22 | Published: 2020/01/20

1. Von Groote PM, Bickenbach JE, Gutenbrunner Ch. The world report on disability-implications, perspectives and opportunities for physical and rehabilitation medicine (PRM). Journal of Rehabilitation Medicine. 2011;43(10):869-875. [Link] [DOI:10.2340/16501977-0872]
2. Shokouhi M, Hosseini SA. Robotics and rehabilitation robotics: A functional method in Iranian medicine. The 1st Iranian Rehabilitation Robotics Conference, 2012 December 5, University of Social Welfare and Rehabilitation, Tehran, Iran. Tehran: University of Social Welfare and Rehabilitation; 2012. [Persian] [Link]
3. Schöffl V, Heid A, Küpper T. Tendon injuries of the hand. World Journal of Orthopedics. 2012;3(6):62-69. [Link] [DOI:10.5312/wjo.v3.i6.62]
4. Mesplié G. Hand and wrist rehabilitation: Theoretical aspects and practical consequences. Berlin: Springer; 2015. [Link] [DOI:10.1007/978-3-319-16318-5]
5. Yavari M, Mohammad Sadeghi Sh, Mozaffari N. Evaluation of the results of early mobilization following flexor tendon repair of fingers. Research in Medicine. 2009;33(1):35-38. [Persian] [Link]
6. Evans RB. Managing the injured tendon: Current concepts. Journal of Hand Therapy. 2012;25(2):173-190. [Link] [DOI:10.1016/j.jht.2011.10.004]
7. Robertson JVG, Jarrassé N, Roby-Brami A. Rehabilitation robots: A compliment to virtual reality. Schedae. 2010;1(6):77-94. [Link]
8. Heo P, Gu GM, Lee SJ, Rhee K, Kim J. Current hand exoskeleton technologies for rehabilitation and assistive engineering. International Journal of Precision Engineering and Manufacturing. 2012;13(5):807-824. [Link] [DOI:10.1007/s12541-012-0107-2]
9. Chiri A, Vitiello N, Giovancchini F, Roccella S, Vecchi F, Carrozza MC. Mechatronic design and characterization of the index finger module of a hand exoskeleton for post-stroke rehabilitation. IEEE/ASME Transactions on Mechatronics. 2011;17(5):884-894. [Link] [DOI:10.1109/TMECH.2011.2144614]
10. Loureiro RCV, Harwin WS. Reach & grasp therapy: Design and control of a 9-DOF robotic neuro-rehabilitation system. IEEE 10th International Conference on Rehabilitation Robotics, 2007 June 13-15, Noordwijk, Netherlands. Piscataway: IEEE; 2007. pp. 757-763. [Link] [DOI:10.1109/ICORR.2007.4428510]
11. Schabowsky CN, Godfrey SB, Holley RJ, Lum PS. Development and pilot testing of HEXORR: Hand EXOskeleton rehabilitation robot. Journal of NeuroEngineering and Rehabilitation. 2010;7:36. [Link] [DOI:10.1186/1743-0003-7-36]
12. Wege A, Hommel G. Development and control of a hand exoskeleton for rehabilitation of hand injuries. IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005 August 2-6, Edmonton, Canada. Piscataway: IEEE; 2005. pp. 3046-3051. [Link] [DOI:10.1109/IROS.2005.1545506]
13. Ito S, Kawasaki H, Ishigure Y, Natsume M, Mouri T, Nishimoto Y. A design of fine motion assist equipment for disabled hand in robotic rehabilitation system. Journal of the Franklin Institute. 2011;348(1):79-89. [Link] [DOI:10.1016/j.jfranklin.2009.02.009]
14. Taheri H, Rowe JB, Gardner D, Chan V, Gray K, Bower C, et al. Design and preliminary evaluation of the FINGER rehabilitation robot: Controlling challenge and quantifying finger individuation during musical computer game play. Journal of Neuroengineering and Rehabilitation. 2014;11(1):10. [Link] [DOI:10.1186/1743-0003-11-10]
15. Sooraj R, Jeevan TG, Akshay N, Bhavani RR. Design and Analysis of a parallel haptic orthosis for upper limb rehabilitation. International Journal of Engineering and Technology. 2013;5(1):444-451. [Link]
16. Agrawal P, Fox J, Yun Y, O'Malley MK, Deshpande AD. An index finger exoskeleton with series elastic actuation for rehabilitation: Design, control and performance characterization. The International Journal of Robotics Research. 2015;34(14):1774-1772. [Link] [DOI:10.1177/0278364915598388]
17. Bouzit M, Burdea G, Popescu G, Boian R. The Rutgers Master II-new design force-feedback glove. IEEE/ASME Transactions on Mechatronics. 2002;7(2):256-263. [Link] [DOI:10.1109/TMECH.2002.1011262]
18. Yang J, Xie H, Shi J. A novel motion-coupling design for a jointless tendon-driven finger exoskeleton for rehabilitation. Mechanism and Machine Theory. 2016;99:83-102. [Link] [DOI:10.1016/j.mechmachtheory.2015.12.010]
19. In H, Cho KJ, Kim K, Lee B. Jointless structure and under-actuation mechanism for compact hand exoskeleton. IEEE International Conference on Rehabilitation Robotics, 2011, 29 June-1 July, Zurich, Switzerland. Piscataway: IEEE; 2011. pp. 1-6. [Link]
20. Susanto EA, Tong RKY, HO NSK. Hand exoskeleton robot for assessing hand and finger motor impairment after stroke. Journal of HKIE Transactions. 2015;22(2):78-87. [Link] [DOI:10.1080/1023697X.2015.1038319]
21. Kang BB, Lee H, In H, Jeong U, Chung J, Cho KJ. Development of a polymer-based tendon-driven wearable robotic hand. IEEE International Conference on Robotics and Automation (ICRA), 2016 May 16-21. Piscataway: IEEE; 2016. pp. 3750-3755. [Link] [DOI:10.1109/ICRA.2016.7487562]
22. Yap HK, Lim JH, Nasrallah F, Hong Goh JC, Yeow CH. Characterisation and evaluation of soft elastomeric acuators for hand assistive and rehabilitation applications. Journal of Medical Engineering & Technology. 2016;40(4):199-209. [Link] [DOI:10.3109/03091902.2016.1161853]
23. Polygerinos P, Wang Z, Galloway KC, Wood RJ, Walsh CJ. Soft robotic glove for combined assistance and at-home rehabilitation. Robotics and Autonomous Systems. 2015;73:135-143. [Link] [DOI:10.1016/j.robot.2014.08.014]
24. Kadowaki Y, Noritsugu T, Takaiwa M, Sasaki D, Kato M. Development of soft power-assist glove and control based on human intent. Journal of Robotics and Mechatronics. 2011;23(2):281-291. [Link] [DOI:10.20965/jrm.2011.p0281]
25. Noritsugu T, Yamamoto H, Sasakil D, Takaiwa M. Wearable power assist device for hand grasping using pneumatic artificial rubber muscle. SICE 2004 Annual Conference, 2004 August 4-6, Sapporo, Japan. Piscataway: IEEE; 2004. pp. 420-425. [Link]
26. Alexander B, Viktor K. Proportions of hand segments. International Journal of Morphology. 2010;28(3):755-758. [Link] [DOI:10.4067/S0717-95022010000300015]
27. Shih HS, Shyur HJ, Lee ES. An extension of TOPSIS for group decision making. Mathematical and Computer Modelling. 2007;45(7-8):801-813. [Link] [DOI:10.1016/j.mcm.2006.03.023]

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