Abstract
To develop a hand rehabilitation device, the patient-specific heterogeneity of physical ailments must be considered in the design process to provide optimized rehabilitation. In this paper, we suggest a low-cost customized manufacturing process of a hand rehabilitation system. We first extract the length and size of the fingers based on a CMOS camera system. Then, the mechanical components of the rehabilitation system were manufactured using a 3D printer. User safety is guaranteed using a simple operation range control connector mechanism which mechanically locks up when the range of motion of each finger is exceeded for finger extension. We verified the usability of the hand rehabilitation system and applied the system to two custom interactive video games.
Similar content being viewed by others
References
Mackay J, Mensah G (2004) The atlas of heart disease and stroke. World Health Organization, Geneva
Twitchell TE (1951) The restoration of motor function following hemiplegia in man. Brain J Neurol 74(4):443–480
Snoek GJ, Jzerman MJI, Hermens HJ, Maxwell D, Biering-Sorensen F (2004) Survey of the needs of patients with spinal cord injury: impact and priority for improvement in hand function in tetraplegics. Spinal Cord 42(9):526–532
Krigger KW (2006) Cerebral palsy: an overview. Am Fam Physician 73(1):91–100
Polygerinos P, Lyne S, Zheng W, Nicolini LF, Mosadegh B, Whitesides GM, Walsh CJ (2013) Toward a soft pneumatic glove for hand rehabilitation. In: IEEE/RSJ international conference on intelligent robots and systems (IROS). pp 1512–1517, 3–7 Nov 2013
Reinkensmeyer DJ, Emken JL, Cramer SC (2004) Robotics, motor learning and neurologic recovery. Ann Rev Biomed Eng 6:497–525
Takahashi CD, Der-Yeghiaian L, Le V, Motiwala RR, Cramer SC (2008) Robot-based hand motor therapy after stroke. Brain 131:425–437
Ueki S, Kawasaki H, Ito S, Nishimoto Y, Abe M, Aoki T et al (2012) Development of a hand-assist robot with multi-degrees-of-freedom for rehabilitation therapy. IEEE/ASME Trans Mechatron 17:136–146
Polygerinos P, Wanga Z, Galloway KC, Wood RJ, Walsh CJ (2015) Soft robotic glove for combined assistance and at-home rehabilitation. Robot Auton Syst 73:135–143
In H, Kang BB, Sin M, Cho KJ (2015) Exo-glove a wearable robot for the hand with a soft tendon routing system. IEEE Robot Autom Mag 22:97–105
Chiri A, Giovacchini F, Vitiello N, Cattin E, Roccella S, Vecchi F, Carrozza MC (2009) HANDEXOS: toward an exoskeleton device for the rehabilitation of the hand. In: Proceedings of the IEEE/RSJ international conference on intelligent robots and systems, pp 1106–1111
Chiri A, Vitiello N, Giovacchini F, Roccella S, Vecchi F, Carrozza MC (2011) Mechatronic design and characterization of the index finger module of a hand exoskeleton for post-stroke rehabilitation. IEEE/AMSE Trans Mechatron 99:1–11
Wege A, Hommel G (2005) Development and control of a hand exoskeleton for rehabilitation of hand injuries. In: Proceeding of the IEEE/RSJ international conference on intelligent robots and systems, pp 3046–3051
Wege A, Zimmermann A (2007) Electromyography sensor based control for a hand rehabilitation. In: Proceeding of the IEEE international conference on robots and biomimetics, pp 1470–1475
Ueki S, Kawasaki H, Ito S, Nishimoto Y, Abe M, Aoki T, Ishigure Y, Ojika T, Mouri T (2012) Development of a hand-assist robot with multi-degrees-of-freedom for rehabilitation therapy. IEEE/ASME Trans Mechatron 17(1):136–146
Otto Bock HealthCare. WaveFlex hand CPM device. http://www.ottobock.ca/cps/rde/xchg/ob_us_en/hs.xsl/15712.html
Takahashi CD, Der-Yeghiaian L, Le V, Motiwala RR, Cramer SC (2008) Robot-based hand motor therapy after stroke. Brain 131(2):425–437
Wu J, Huang J, Wang Y, Xing K (2010) “A wearable rehabilitation robotic hand driven by RM-TS actuators. In: Liu H, Diong H, Xiong Z, Zhu X (eds) Intelligent robotics and applications, vol 6425. Springer, New York, pp 440–450
Kang BB, Lee H, In H, Jeong U, Chung J, Cho K (2016) Development of a polymer-based tendon-driven wearable robotic hand 2016 In: IEEE international conference on robotics and automation (ICRA). https://doi.org/10.1109/ICRA.2016.7487562
Kim B, In H, Lee D, Cho K (2017) Development and assessment of a hand assist device: GRIPIT. J Neuroeng Rehabil 14(1):15. https://doi.org/10.1186/s12984-017-0223-4
Popov D, Gaponov I, Ryu J (2017) Portable Exoskeleton glove with soft structure for hand assistance in activities of daily living. IEEE/ASME Trans Mechatron 1:2–3. https://doi.org/10.1109/TMECH.2016.2641932
Park S, Bishop L, Post T, Xiao Y, Stein J, Ciocarlie M (2016) On the feasibility of wearable exotendon networks for whole-hand movement patterns in stroke patients. 2016 IEEE international conference on robotics and automation (ICRA). https://doi.org/10.1109/ICRA.2016.7487560
Nilsson M, Ingvast J, Wikander J, Holst H (2012) The soft extra muscle system for improving the grasping capability in neurological rehabilitation. In: 2012 IEEE EMBS international conference on biomedical engineering and sciences. https://doi.org/10.1109/iecbes.2012.6498090
Fischer H, Triandafilou K, Thielbar K, Ochoa J, Lazzaro E, Pacholski K, Kamper D (2016) Use of a portable assistive glove to facilitate rehabilitation in stroke survivors with severe hand impairment. IEEE Trans Neural Syst Rehab Eng. https://doi.org/10.1109/TNSRE.2015.2513675
Chu C, Patterson RM (2018) Soft robotic devices for hand rehabilitation and assistance: a narrative review. J NueroEng Rehab 15:9
Heo P, Gu GM, Lee SJ, Rhee K, Kim J (2012) Current hand exoskeleton technologies for rehabilitation and assistive engineering. Int J Precis Eng Manuf 13(5):807–824
Moura JT, Elmali H, Olgac N (1997) Sliding mode control with sliding perturbation observer. J Dyn Syst Meas Control 119(4):657–665
Pyk P et al (2008) A paediatric interactive therapy system for arm and hand rehabilitation. In: 2008 virtual rehabilitation IWVR, pp 127–132
Sveistrup H et al (2004) Outcomes of intervention programs using flatscreen virtual reality. In: Conference proceedings: IEEE engineering in medicine and biology society, vol 7, pp 4856–4858
Harris K, Reid D, Harris K (2005) The influence of virtual reality play on children’s motivation PDF. Can J Occup Ther 72(1):21–29
Bryanton C, Bossé J, Brien M, McLean J, McCormick A, Sveistrup H (2006) Feasibility, motivation, and selective motor control: virtual reality compared to conventional home exercise in children with cerebral palsy. Cyberpsychol Behav 9(2):123–128
You SH, Jang SH, Kim Y-H, Kwon Y-H, Barrow I, Hallett M (2005) Cortical reorganization induced by virtual reality therapy in a child with hemiparetic cerebral palsy. Dev Med Child Neurol 47(9):628–635
Reid D (2004) The influence of virtual reality on playfulness in children with cerebral palsy: a pilot study. Occup Ther Int 11(3):131–144
Park J-H (2013) Effect of robot-assisted hand rehabilitation on hand function in chronic stroke patients. J Korea Robot Soc 8(4):273–282
Jones CL, Wang F, Morrison R, Sarkar N, Kamper DG (2014) Design and development of the cable actuated finger exoskeleton for hand rehabilitation following stroke. IEEE/ASME Trans Mechatron 19:131–140
Gil-Gomez J, Gil-Gomez H, Lozano-Quilis J, Manzano-Hernandez P, Albiol-Perz S, Aul-Valero C (2013) SEQ: suitability evaluation questionnaire for virtual rehabilitation systems application in a virtual rehabilitation system for balance rehabilitation. In: International conference on pervasive computing technologies for healthcare and workshops
Gil-Gomez J, Manzano-Hernandez P, Albiol-Perez S, Aula-Valero C, Gil-Gomez H, Lozano-Quilis J (2017) USEQ: a short questionnaire for satisfaction evaluation of virtual rehabilitation systems. Sensors. https://doi.org/10.3390/s17071589
Author information
Authors and Affiliations
Corresponding author
Additional information
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Kim, S.J., Han, S.Y., Yang, GH. et al. Development of an interactive game-based mirror image hand rehabilitation system. Intel Serv Robotics 12, 149–157 (2019). https://doi.org/10.1007/s11370-018-00272-5
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11370-018-00272-5