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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229
ROMANIA

Print ISSN: 1582-7445
Online ISSN: 1844-7600
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: 1,373 | Views: 3,694

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.


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SCOPUS® Times Cited: 10
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Cited-By CrossRef

[1] Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke, Mehrholz, Jan, Pohl, Marcus, Platz, Thomas, Kugler, Joachim, Elsner, Bernhard, Cochrane Database of Systematic Reviews, ISSN 1465-1858, Issue 9, Volume 2018, 2018.
Digital Object Identifier: 10.1002/14651858.CD006876.pub5
[CrossRef]

[2] Robotic Assisted Upper Limb Training Post Stroke: A Randomized Control Trial Using Combinatory Approach Toward Reducing Workforce Demands, Budhota, Aamani, Chua, Karen S. G., Hussain, Asif, Kager, Simone, Cherpin, Adèle, Contu, Sara, Vishwanath, Deshmukh, Kuah, Christopher W. K., Ng, Chwee Yin, Yam, Lester H. L., Loh, Yong Joo, Rajeswaran, Deshan Kumar, Xiang, Liming, Burdet, Etienne, Campolo, Domenico, Frontiers in Neurology, ISSN 1664-2295, Issue , 2021.
Digital Object Identifier: 10.3389/fneur.2021.622014
[CrossRef]

[3] Real time motion intention recognition method with limited number of surface electromyography sensors for A 7-DOF hand/wrist rehabilitation exoskeleton, Xiao, Feiyun, Gu, Liang, Ma, Wenzhang, Zhu, Yanhe, Zhang, Zhen, Wang, Yong, Mechatronics, ISSN 0957-4158, Issue , 2021.
Digital Object Identifier: 10.1016/j.mechatronics.2021.102642
[CrossRef]

[4] Effects of robotic upper limb treatment after stroke on cognitive patterns: A systematic review, Bressi, Federica, Cricenti, Laura, Campagnola, Benedetta, Bravi, Marco, Miccinilli, Sandra, Santacaterina, Fabio, Sterzi, Silvia, Straudi, Sofia, Agostini, Michela, Paci, Matteo, Casanova, Emanuela, Marino, Dario, La Rosa, Giuseppe, Giansanti, Daniele, Perrero, Luca, Battistini, Alberto, Filoni, Serena, Sicari, Monica, Petrozzino, Salvatore, Solaro, Claudio Marcello, Gargano, Stefano, Benanti, Paolo, Boldrini, Paolo, Bonaiuti, Donatella, Castelli, Enrico, Draicchio, Francesco, Falabella, Vincenzo, Galeri, Silvia, Gimigliano, Francesca, Grigioni, Mauro, Mazzoleni, Stefano, Mazzon, Stefano, Molteni, Franco, Petrarca, Maurizio, Picelli, Alessandro, Posteraro, Federico, Senatore, Michele, Turchetti, Giuseppe, Morone, Giovanni, Gallotti, Marco, Germanotta, Marco, Aprile, Irene, Morone, Giovanni, Riener, Robert, Mazzoleni, Stefano, NeuroRehabilitation, ISSN 1053-8135, Issue 4, Volume 51, 2022.
Digital Object Identifier: 10.3233/NRE-220149
[CrossRef]

[5] Effects of end-effector robotic arm reach training with functional electrical stimulation for chronic stroke survivors, Cho, Ki Hun, Hong, Mi Ran, Song, Won-Kyung, Topics in Stroke Rehabilitation, ISSN 1074-9357, 2024.
Digital Object Identifier: 10.1080/10749357.2024.2409595
[CrossRef]

[6] Short and long-term effects of robot-assisted therapy on upper limb motor function and activity of daily living in patients post-stroke: a meta-analysis of randomized controlled trials, Zhang, Liping, Jia, Gongwei, Ma, Jingxi, Wang, Sanrong, Cheng, Li, Journal of NeuroEngineering and Rehabilitation, ISSN 1743-0003, Issue 1, Volume 19, 2022.
Digital Object Identifier: 10.1186/s12984-022-01058-8
[CrossRef]

[7] Closed-Loop FES Control of a Hybrid Exoskeleton during Sit-to-Stand Exercises: Concept and First Evaluation, Lyu, Chenglin, Morim, Pedro Truppel, Penzlin, Bernhard, Röhren, Felix, Bergmann, Lukas, von Platen, Philip, Bollheimer, Cornelius, Leonhardt, Steffen, Ngo, Chuong, Actuators, ISSN 2076-0825, Issue 8, Volume 12, 2023.
Digital Object Identifier: 10.3390/act12080316
[CrossRef]

[8] The efficacy of hybrid neuroprostheses in the rehabilitation of upper limb impairment after stroke, a narrative and systematic review with a meta‐analysis, Höhler, Chiara, Trigili, Emilio, Astarita, Davide, Hermsdörfer, Joachim, Jahn, Klaus, Krewer, Carmen, Artificial Organs, ISSN 0160-564X, Issue 3, Volume 48, 2024.
Digital Object Identifier: 10.1111/aor.14618
[CrossRef]

[9] How to use one surface electromyography sensor to recognize six hand movements for a mechanical hand in real time: a method based on Morse code, Xiao, Feiyun, Mu, Jingsong, He, Liangguo, Wang, Yong, Medical & Biological Engineering & Computing, ISSN 0140-0118, Issue 9, Volume 62, 2024.
Digital Object Identifier: 10.1007/s11517-024-03109-9
[CrossRef]

[10] FES&BCI based rehabilitation engineered equipment: Clinical tests and perspectives, Poboroniuc, Marian-Silviu, Irimia, Danut-Constantin, 2017 E-Health and Bioengineering Conference (EHB), ISBN 978-1-5386-0358-1, 2017.
Digital Object Identifier: 10.1109/EHB.2017.7995365
[CrossRef]

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