Development and control of a home-based training device for hand rehabilitation with a spring and cable driven mechanism.
Stroke rehabilitation
clinical trial
conceptual design
robotic glove
Journal
Biomedizinische Technik. Biomedical engineering
ISSN: 1862-278X
Titre abrégé: Biomed Tech (Berl)
Pays: Germany
ID NLM: 1262533
Informations de publication
Date de publication:
26 Aug 2021
26 Aug 2021
Historique:
received:
12
10
2019
accepted:
19
01
2021
pubmed:
10
2
2021
medline:
29
9
2021
entrez:
9
2
2021
Statut:
epublish
Résumé
Rehabilitation at home is rapidly increasing. Although successful results are achieved with treatment methods applied in rehabilitation clinics, there are also some disadvantages in this process, such as dependence on an expert and high costs. Developments in mechatronic technologies have accelerated the development of assistive devices which are designed for use at home. One of the rehabilitation applications is on a hemiplegic hand. In previous studies, some useful devices have been developed for hand rehabilitation. In this study, we suggest a new, low-cost and wearable robotic glove for hand rehabilitation. The specific component of this device is the spring and cable driven system proposed for transmission of motion and force. The device was tested on both unimpaired participants and patients with the hemiplegic hand, and it was proven to be beneficial for hand rehabilitation. As a result of trials with unimpaired participants, the muscle activation of the extensor digitorum and the flexor carpi radialis were increased by 184.1 and 197.8% respectively. The weight of the device was less than 400 g, thanks to 3D printed parts.
Identifiants
pubmed: 33559455
pii: bmt-2019-0267
doi: 10.1515/bmt-2019-0267
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
395-403Informations de copyright
© 2021 Walter de Gruyter GmbH, Berlin/Boston.
Références
Feigin, VL, Forouzanfar, MH, Krishnamurthi, R, Mensah, GA, Connor, M, Bennett, DA, et al.. Global and regional burden of stroke during 1990–2010: findings from the global burden of disease study 2010. Lancet 2014;383:245–55. https://doi.org/10.1016/s0140-6736(13)61953-4.
Turkish Ministry of Health. Health statistics yearbook; 2019. Available from: https://sbu.saglik.gov.tr/Ekutuphane/kitaplar/sa%C4%9Fl%C4%B1k%20istatistik%20y%C4%B1ll%C4%B1%C4%9F%C4%B1%202013.pdf [Accessed 2 September 2019].
Henssge, U, Hoffman, A, Kavanagh, S, Roughton, M, Rudd, A, Cloud, G. Intercollegiate Stroke Working Party. National sentinel stroke audit 2010. London UK: Royal College of Physicians of London; 2011.
Desrosiers, J, Malouin, F, Richards, C, Bourbonnais, D, Rochette, A, Bravo, G. Comparison of changes in upper and lower extremity impairments and disabilities after stroke. Int J Rehabil Res 2003;26:109–16. https://doi.org/10.1097/00004356-200306000-00005.
Ingram, NJ, Kording, KP, Howard, IS, Wolpert, DM. The statistics of natural hand movements. Exp Brain Res 2008;188:223–36. https://doi.org/10.1007/s00221-008-1355-3.
World Health Organization. World report on disability. Switzerland: WHO Press; 2011.
Kwakkel, G, Wagenaar, RC, Koelman, TW, Lankhorst, GJ, Koetsier, JC. Effects of intensity of rehabilitation after stroke: a research synthesis. Stroke 1997;28:1550–6. https://doi.org/10.1161/01.str.28.8.1550.
Amirabdollahian, F, Ates, S, Basteris, A, Cesario, A, Buurke, J, Hermens, H, et al.. Design, development and deployment of a hand/wrist exoskeleton for home-based rehabilitation after stroke-script project. Robotica 2014;32:1331–46. https://doi.org/10.1017/s0263574714002288.
Winstein, CJ, Stewart, JC. Conditions of task practice for individuals with neurologic impairments. Textb Neural Repair Rehabil 2006;2:89–102.
Shea, CH, Lai, Q, Black, C, Park, JH. Spacing practice sessions across days benefits the learning of motor skills. Hum Mov Sci 2000;19:737–60. https://doi.org/10.1016/s0167-9457(00)00021-x.
Heo, P, Gu, GM, Lee, S, Rhee, K, Kim, J. Current hand exoskeleton technologies for rehabilitation and assistive engineering. Int J Precis Eng Manuf 2012;13:807–24. https://doi.org/10.1007/s12541-012-0107-2.
Jo, I, Lee, J, Park, Y, Bae, J. Design of a wearable hand exoskeleton for exercising flexion/extension of the fingers. In: International conference on rehabilitation robotics (ICORR), 15th IEEE international conference; 2017:1465–70 pp.
Worsnopp, TT, Peshkin, MA, Colgate, JE, Kamper, DG. An actuated finger exoskeleton for hand rehabilitation following stroke. In: International conference on rehabilitation robotics (ICORR), 10th IEEE international conference; 2007:896–901 pp.
Guo, S, Zhang, W, Guo, J, Gao, J, Hu, Y. Design and kinematic simulation of a novel exoskeleton rehabilitation hand robot. In: International conference on mechatronics and automation (ICMA), IEEE international conference; 2016:1125–30 pp.
Prange-Lasonder, GB, Radder, B, Kottink, AIR, Melendez-Calderon, A, Buurke, JH, Rietman, JS. 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. In: International conference on rehabilitation robotics (ICORR), 15th IEEE international conference; 2017:1401–6 pp.
Polygerinos, P, Wang, Z, Galloway, KC, Wood, RJ, Walsh, CJ. Soft robotic glove for combined assistance and at-home rehabilitation. Robot Autonom Syst 2015;73:135–43. https://doi.org/10.1016/j.robot.2014.08.014.
Yap, HK, Lim, JH, Nasrallah, F, Goh, JCH, Yeow, C. Characterisation and evaluation of soft elastomeric actuators for hand assistive and rehabilitation applications. J Med Eng Technol 2016;40:199–209. https://doi.org/10.3109/03091902.2016.1161853.
Polygerinos, P, Correll, N, Morin, SA, Mosadegh, B, Onal, CD, Petersen, K, et al.. Soft robotics: review of fluid-driven intrinsically soft devices; manufacturing, sensing, control, and applications in human-robot interaction. Adv Eng Mater 2017;19:1700016. https://doi.org/10.1002/adem.201700016.
Baier, J, Kuchinke, LM, Neumann, M, Bender, B. Form and function – exemplary analysis of the significance for the design of rehabilitation devices. In: International conference on rehabilitation robotics (ICORR), 15th IEEE international conference; 2017:740–5 pp.
Pahl, G, Beitz, W, Feldhusen, J, Grote, KH. Engineering design: a systematic approach, 3rd ed. London: Springer; 2007.
Andrew, I, Batavia, JD, Guy, SH. Toward the development of consumer-based criteria for the evaluation of assistive devices. J Rehabil Res Dev 1990;27:425–36.
Nordin, M, Frankel, VH. Basic biomechanics of the musculoskeletal system, 4th ed. Baltimore: Lippincott Williams & Wilkins; 2012.
Duan, Q, Vashista, V, Agrawal, SK. Effect on wrench-feasible workspace of cable-driven parallel robots by adding springs. Mech Mach Theor 2015;86:201–10. https://doi.org/10.1016/j.mechmachtheory.2014.12.009.
Mao, Y, Jin, X, Dutta, GG, Scholz, JP, Agrawal, SK. Human movement training with a cable driven arm exoskeleton (carex). IEEE Trans Neural Syst Rehabil Eng 2015;23:84–92. https://doi.org/10.1109/tnsre.2014.2329018.
Borille, A, Gomes, J, Meyer, R, Grote, K. Applying decision methods to select rapid prototyping technologies. Rapid Prototyp J 2010;16:50–62. https://doi.org/10.1108/13552541011011712.
Buchholz, B, Armstrong, TJ. A kinematic model of the human hand to evaluate its prehensile capabilities. J Biomech 1992;25:149–62. https://doi.org/10.1016/0021-9290(92)90272-3.
Tong, KY, Ho, SK, Pang, PMK, Hu, XL, Tam, WK, Fung, KL, et al.. An intention driven hand functions task training robotic system. In: Engineering in Medicine and Biology Society (EMBC), 2010 Annual international conference of the IEEE; 2010:3406–9 pp.
Zhang, F, Hua, L, Fu, Y, Chen, H, Wang, S. Design and development of a hand exoskeleton for rehabilitation of hand injuries. Mech Mach Theory 2014;73:103–16. https://doi.org/10.1016/j.mechmachtheory.2013.10.015.
Serbest, K, Cilli, M, Yildiz, MZ, Eldogan, O. Development of a human hand model for estimating joint torque using MatLab tools. In: Biomedical robotics and biomechatronics (BioRob), 6th IEEE international conference; 2016:793–7 pp.
Basmajian, JV. Biofeedback: principles and practice for clinicians, 2nd ed. London: Williams & Wilkins; 1984.
Cempini, M, De Rossi, SMM, Lenzi, T, Cortese, M, Giovacchini, F, Vitiello, N, Carrozza, MC. Kinematics and design of a portable and wearable exoskeleton for hand rehabilitation. In: International conference on rehabilitation robotics (ICORR), 13th IEEE international conference; 2013:1–6 pp.