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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
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Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
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WorldCat: 643243560
doi: 10.4316/AECE


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  4/2016 - 14

 HIGH-IMPACT PAPER 

Testing of a Hybrid FES-Robot Assisted Hand Motor Training Program in Sub-Acute Stroke Survivors

GRIGORAS, A. V. See more information about GRIGORAS, A. V. on SCOPUS See more information about GRIGORAS, A. V. on IEEExplore See more information about GRIGORAS, A. V. on Web of Science, IRIMIA, D. C. See more information about  IRIMIA, D. C. on SCOPUS See more information about  IRIMIA, D. C. on SCOPUS See more information about IRIMIA, D. C. on Web of Science, POBORONIUC, M. S. See more information about  POBORONIUC, M. S. on SCOPUS See more information about  POBORONIUC, M. S. on SCOPUS See more information about POBORONIUC, M. S. on Web of Science, POPESCU, C. D. See more information about POPESCU, C. D. on SCOPUS See more information about POPESCU, C. D. on SCOPUS See more information about POPESCU, C. D. on Web of Science
 
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Download PDF pdficon (1,787 KB) | Citation | Downloads: 1,081 | Views: 3,122

Author keywords
electrical stimulation, mechatronic hand, neuromuscular stimulation, rehabilitation robotics, robot control

References keywords
stroke(15), rehabilitation(10), upper(8), patients(6), limb(5), therapy(4), stimulation(4), neurol(4), movement(4), exoskeleton(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2016-11-30
Volume 16, Issue 4, Year 2016, On page(s): 89 - 94
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2016.04014
Web of Science Accession Number: 000390675900014
SCOPUS ID: 85007565874

Abstract
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Full text preview
While hands-on therapy is the most commonly used technique for upper limb rehabilitation after stroke, it requires a therapist and residual activity and is best suited for active-assisted exercises. Robotic therapy on the other hand, can provide intention driven training in a motivating environment. We compared a robotic and standard therapy group, allowing intention driven finger flexion/extention respectively active-assisted exercises and a standard therapy only group. A total of 25 patients, 2 to 6 months post-stroke, with moderate motor deficit (Fugl-Meyer Assessment or FMA between 15 and 50), were randomly assigned in one of the groups. Patients practiced 30 minutes of hands-on therapy each day for 2 weeks with a supplementary 30 minutes of robotic therapy each day for patients in the experimental group. Subjects were evaluated using the FMA, Box and Blocks test (BBT) and Stroke Impact Scale (SIS) before and after the treatment. Patients in the experimental group showed higher average gain in all tests than those in the control group but only the SIS average gain was on the limit of statistical significance. This study shows the potential efficacy of robotic therapy for hand rehabilitation in subacute stroke patients.


References | Cited By  «-- Click to see who has cited this paper

[1] V.L. Feigin, G.A. Mensah, B. Norrving, C.J. Murray, G.A. Roth, "Atlas of the Global Burden of Stroke (1990-2013): The GBD 2013 Study", Neuroepidemiology, vol. 45, no. 3, pp. 230-236, 2015.
[CrossRef] [Web of Science Times Cited 171]


[2] S.C. Cramer, "Repairing the human brain after stroke: I. Mechanisms of spontaneous recovery", Ann. Neurol., vol. 63, pp. 272-287, 2008.
[CrossRef] [Web of Science Times Cited 544]


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[4] D.J. Reinkensmeyer, S.J. Housman, "If I can't do it once, why do it a hundred times?: Connecting volition to movement success in a virtual environment motivates people to exercise the arm after stroke", in Proc. Virtual Rehabilitation Conference, 2007, pp. 44-48.
[CrossRef]


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[CrossRef] [Web of Science Times Cited 39]


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[CrossRef] [Web of Science Times Cited 585]


[7] D.B. Popovic, T. Sinkaer, M.B. Popovic, "Electrical stimulation as a means for achieving recovery of function in stroke patients", NeuroRehabilitation, vol. 25, no. 1, pp. 45-58, 2009.
[CrossRef] [Web of Science Times Cited 58]


[8] S. Machado, J. Bittencourt, D. Minc, C.E. Portella, B. Velasques, M. Cunha, H. Budde, L.F. Basile, G. Chadi, M. Cagy, R. Piedade, P. Riberio, "Therapeutic applications of repetitive transcranial magnetic stimulation in clinical neurorehabilitation", Funct. Neurol., vol. 23, no. 3, pp. 113-122, 2008

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[CrossRef] [Web of Science Times Cited 73]


[12] A. Risedal, B. Mattsson, P. Dahlqvist, "Environmental influences on functional outcome after a cortical infarct in the rat", Brain Res Bull, vol. 58, pp. 315-321, 2002

[13] V. Klamroth-Marganska, J. Blanco, K. Campen et al. "Three-dimensional, task-specific robot therapy of the arm after stroke: a multicentre, parallel-group randomized trial", Lancet Neurol., vol. 13, pp. 159-166, 2014
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[14] E. Susanto, R. Tong, C. Ockenfeld, N. Ho, "Efficacy of robot-assisted fingers training in chronic stroke survivors: a pilot randomized-controlled trial", J. of Neuroeng. and Rehab., vol. 12, no. 42, 2015,
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[15] D. Lynch, M. Ferraro, J Krol, "Continuous passive motion improves shoulder joint integrity following stroke", Clin. Rehabil, vol. 19, pp. 594-599, 2005.
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[16] J.L. Patton, F.A. Mussa-Ivaldi, "Robot assisted adaptative training: custom force fields for teaching movement patterns", IEEE Rev. Biomed. Eng., vol. 51, pp. 636-646, 2002.
[CrossRef] [Web of Science Times Cited 177]


[17] A. Otten, C. Voort, A. Stienen, "LIMPACT: A Hydraulically Powered Self-Aligning Upper Limb Exoskeleton", in ASME Transactions on mechatronics, vol. 20, pp. 2285-2298, 2015.

[18] N. Kawashima, M. Popovic, V. Zivanovic, "Effect of Intensive Functional Electrical Stimulation Therapy on Upper-Limb Motor Recovery after Stroke: Case Study of a Patient with Chronic Stroke", Physiotherapy Canada, vol 65, pp. 20-28, 2013.
[CrossRef] [Web of Science Times Cited 29]


[19] F. Serea, M.S. Poboroniuc, S. Hartopanu, R. Olaru, "Preliminary Tests on a Hybrid Upper Arm Exoskeleton for Upper Arm Rehabilitation for Disabled Patients", in Proc. 8th Int. Conf. and Exposition on Electrical and Power Engineering, IEEE, Iasi, Romania, Catalog Number CFP-1447S-USB, pp. 153-157, 2014.
[CrossRef]


[20] P. Maciejasz, J. Eschweiler, K. Gerlach-Hahn, "A survey on robotic devices for upper limb rehabilitation", J. of Neuroeng. and Rehab., vol. 11, no. 3, 2014.
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[21] T.A. Thrasher, V. Zivanovic, W. McIlroy et al. "Rehabilitation of reaching and grasping function in severe hemiplegic patients using functional electrical stimulation therapy", Neurorehabil Neural Repair. vol. 22, pp. 706-714, 2008
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[22] E. Ambrosini, S. Ferrante, T. Schauer, "A myocontrolled neuroprosthesis integrated with a passive exoskeleton to support upper limb activities", Journal of Electromyography and Kinesiology, vol. 24, pp. 307-317, 2014.
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[24] S. Hartopanu, F. Serea, D. Irimia, M. Poboroniuc, G. Livint, "New issues on FES and robotic glove device to improve the hand rehabilitation in stroke patients", the 6th Int. Conf. on Modern Power Systems, Cluj-Napoca, 2015, in Acta Electrotehnica, vol.56, No.3, pp.123-127, ISSN 1841-3323, 2015.



References Weight

Web of Science® Citations for all references: 3,260 TCR
SCOPUS® Citations for all references: 0

Web of Science® Average Citations per reference: 130 ACR
SCOPUS® Average Citations per reference: 0

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2024-03-17 17:46 in 111 seconds.




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