A Review of Structure and Function of Glove-like Power Hand Orthoses for Hand ‎Rehabilitation of Patients with Hand Weakness and Paralysis

Document Type : Review Article

Authors

1 Department of orthotics and Prosthetics, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran

2 Department, of Orthotics and Prosthetics, Faculty of Rehabilitation Sciences, Shiraz University of Medical Sciences, Shiraz, Iran

Abstract

Purpose:
Power orthoses, due to their characteristics, can greatly assist in the recovery and improvement of people with problems in hand function. The purpose of this study was to review the glove-like power hand orthoses that were designed to practice, assist and improve performance in patients with weak or paralyzed hands.
Methods:
PubMed, Scopus, ISI web of sciences and IEEE databases were searched from 2000 to 2019. The keywords used to search were selected based on the PICO strategy. By using the introduced keywords, 605 articles were obtained. After the final evaluation, 12 articles were selected. Criteria for the study included: design and development of glove-like power orthoses, use of orthoses for treatment, rehabilitation and improvement of hand function, use for people with weakness or paralysis of the hand muscles due to central nervous system disorder.
Results:
The study showed that of the 12 introduced orthoses, 10 orthoses used electric motors to generate propulsion, and 2 orthoses benefited from the pneumatic system. Regarding force transmission systems, most of these orthoses use cable transmission systems. What makes these orthoses even more differentiated is the control system, which can be referred to as positional signals, electrical muscle signals, and software systems.
Conclusion:
Studies have shown that there are many different orthoses in terms of power transmission systems, drive systems, and control systems, and each of these devices has different capabilities to assist patients. Although each of the introduced orthotic designs has advantages to meet the needs of their target community, they are not without limitations. Removing the limitations of these designs could play a role in enhancing the efficiency and better meeting the needs of those who use these devices.

Keywords


  1. Li J, Wang S, Wang J, Zheng R, et al. Development of a hand exoskeleton system for index finger rehabilitation. Chinese Journal of Mechanical Engineering 2012; 25(2): 223-233.
  2. Sarakoglou I, Tsagarakis NG, Caldwell DG. Occupational and physical therapy using a hand exoskeleton based exerciser. Intelligent Robots and Systems. 2004; 3: 2973-2978.
  3. Wang J, Li J, Zhang Y, Wang S, editors. Design of an exoskeleton for index finger rehabilitation. Engineering in Medicine and Biology Society, 2009 EMBC 2009 Annual International Conference of the IEEE; 2009; 5957-5960. IEEE.
  4. Friedman N, Chan V, Reinkensmeyer AN, Beroukhim A, et al. Retraining and assessing hand movement after stroke using the MusicGlove: comparison with conventional hand therapy and isometric grip training. J Neuroeng Rehabil 2014; 11(1): 1-14.
  5. Fischer HC, Stubblefield K, Kline T, Luo X, et al. Hand rehabilitation following stroke: a pilot study of assisted finger extension training in a virtual environment. Topics in Stroke Rehabilitation 2007; 14(1): 1-12. 
  6. Patar MNAA, Komeda T, Low CY, Mahmud J. System Integration and Control of Finger Orthosis for Post Stroke Rehabilitation. Procedia Technology 2014; 15(1): 756-765.
  7. Oess NP, Wanek J, Curt A. Design and evaluation of a low-cost instrumented glove for hand function assessment. J Neuroeng Rehabil 2012; 9(2): 1-11.
  8. Ates S, Leon B, Basteris A, Nijenhuis S, et al. Technical evaluation of and clinical experiences with the SCRIPT passive wrist and hand orthosis. Human System Interactions (HSI), 2014 7th International Conference on; 2014; 188-193.
  9. Koohestani H, Baghcheghi N. The Prevalence of Depression among Caregivers of Stroke Survivors and Related Factors in Arak. Iranian Journal of Epidemiology 2012; 8(3): 66-72.
  10. Iranmanesh F VR, Gadari F, Rajabpoor N. Study of Relationship between Prevalence of Post-Stroke Depression and Stroke Risk Factors. Journal of Fasa University of Medical Sciences 2012; 2(2): 66-70.
  11. Maciejasz P, Eschweiler Jr, Gerlach-Hahn K, Jansen-Troy A, et al. A survey on robotic devices for upper limb rehabilitation. J Neuroeng Rehabil 2014; 11(1): 1-29.
  12. Delph M A , Fischer S A, Gauthier Ph, Luna CH,et al. A Soft Robotic Exomusculature Glove with Integrated sEMG Sensing for Hand Rehabilitation. 13th International Conference on Rehabilitation Robotics. 2013; 1-7.
  13. DiCicco M, Lucas L, Matsuoka Y. Comparison of control strategies for an EMG controlled orthotic exoskeleton for the hand. Robotics and Automation, 2004 Proceedings ICRA'04 2004 IEEE International Conference on; 2004;1622-1627.
  14. Dorenfeld E, Wolf R, Zeveska S. Design of a powered hand orthosis. Polytechnic Institute in partial fulfillment of the requirements for the Degree of Bachelor of Science; 2013.
  15. Connelly L, Stoykov ME, Jia Y, Kenyon RV, et al. Use of a pneumatic glove for hand rehabilitation following stroke. Engineering in Medicine and Biology Society, 2009 EMBC 2009 Annual International Conference of the IEEE; 2009:; 2434-2437.
  16. Brassil T, Brassil JM. Hand rehabilitation glove. Google Patents; 2002.
  17. Carmeli E, Peleg S, Bartur G, Elbo E, et al. HandTutorTM enhanced hand rehabilitation after stroke—a pilot study. Physiotherapy Research International  2011; 16(4): 191-200.
  18. Santos CM, Pimenta CA, Nobre MR. The PICO strategy for the research question construction and evidence search. Revista latino-americana de enfermagem 2007; 15(3): 508-511.
  19. Vanoglio F, Luisa A, Garofali F,  Elbo E, et al. Evaluation of the effectiveness of Gloreha (Hand Rehabilitation Glove) on hemiplegic patients. Pilot study. XIII Congress of Italian Society of Neurorehabilitation 2011: 16(4);191-200.
  20. Abolfathi P. Development of an Instrumented and Powered Exoskeleton for the Rehabilitation of the Hand: School of Aerospace, Mechanical and Mechatronic Engineering,University of Sydney; 2007. 
  21. Noritsugu T, Takaiwa M, Sasaki D. Development of power assist wear using pneumatic rubber artificial muscles. Journal of Robotics and Mechatronics 2009; 21(5): 607-610.
  22. Delph M A, Fischer S A , Gauthier P W, Luna CM, et al. Development of a Cable Driven Flexible Robotic Rehabilitation Glove. Biomedical Engineering Society Annual Meeting 2012.
  23. Nycz CJ, Delph MA, Fischer GS. Modeling and design of a tendon actuated soft robotic exoskeleton for hemiparetic upper limb rehabilitation. Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE; 2015: 3889-3892.
  24. Park S, Bishop L, Post T, Xiao Y, et al. On the feasibility of wearable exotendon networks for whole-hand movement patterns in stroke patients. Robotics and Automation , 2016 IEEE International Conference on; 2016:  3729-3735.
  25. Prange-Lasonder GB, Radder B, Kottink AI, Melendez-Calderon A, et al. Applying a soft-robotic glove as assistive device and training tool with games to support hand function after stroke: Preliminary results on feasibility and potential clinical impact. Rehabilitation Robotics, 2017 International Conference on; 2017: 1401-1406.
  26. Fischer HC, Triandafilou KM, Thielbar KO, Ochoa JM, et al. Use of a Portable Assistive Glove to Facilitate Rehabilitation in Stroke Survivors With Severe Hand Impairment. IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society 2015; 24(3): 344-351.
  27. Yurkewich A, Hebert D, Wang RH, Mihailidis A. Hand Extension Robot Orthosis (HERO) Glove: Development and Testing With Stroke Survivors With Severe Hand Impairment. IEEE Transactions on Neural Systems and Rehabilitation Engineering 2019; 27(5): 916-926.
  28. Fardipour S, Bahramizadeh M, Arazpour M, Jafarpisheh AS, et al. First prototype of EMG-controlled power hand orthosis for restoring hand extension in stroke patients. Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine 2018; 232(12): 1176-1181.