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Multivariate analysis of the kinematics of an upper limb rehabilitation robot

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The purpose of this work is to present a multivariate analysis of the kinematics of an upper limb rehabilitation robot. Comparing multiple concepts of kinematic chains makes it possible to identify advantages and disadvantages and, as a consequence, choosing the optimal solution to create a physical device. Such actions shall contribute towards automation of the rehabilitation process, bringing benefits to both therapists and patients in comparison with conventional rehabilitation. Methods: Multivariate analysis of kinematics was performed on the basis of three concepts of the kinematic chain of an exoskeleton, enabling the rehabilitation of both right and left upper limb within the area of the shoulder joint, elbow joint and wrist. The kinematic chain allows the performance of simple and complex movements. Results: The results of the conducted multivariate kinematic analysis define specific movements and angular ranges, which may be performed while applying one of the proposed concepts of the robot design. The results made it possible to determine the optimum solution to the kinematic diagram and construction design, which best satisfy the expectations for effective rehabilitation. Conclusions: The analysis of the kinematic diagram concept of the exoskeleton should be done in relation to its design (construction form). Considering the obtained parameters, it is necessary to find an optimum concept and wisely manoeuvre the values, in order to avoid a situation in which one significant parameter influences another, equally important one. It is noteworthy that the introduction of changes into particular segments of the kinematic chain often has a significant impact on other segments.
Rocznik
Strony
55--66
Opis fizyczny
Bibliogr. 19 poz., rys., tab., wykr.
Twórcy
  • Łukasiewicz Research Network – Krakow Institute of Technology, Zabrze, Poland.
  • Department of Biomechatronics, Silesian University of Technology, Zabrze, Poland.
  • PhD School, Silesian University of Technology, Gliwice, Poland.
  • Łukasiewicz Research Network – Krakow Institute of Technology, Zabrze, Poland.
  • Department of Biomechatronics, Silesian University of Technology, Zabrze, Poland.
  • PhD School, Silesian University of Technology, Gliwice, Poland.
  • Department of Biomechatronics, Silesian University of Technology, Zabrze, Poland.
  • Łukasiewicz Research Network – Krakow Institute of Technology, Zabrze, Poland.
  • Department of Biomechatronics, Silesian University of Technology, Zabrze, Poland.
Bibliografia
  • [1] BABAIASL M., MAHDIOUN S.H., JARYANI P., YAZDANI M., A review of technological and clinical aspects of robot-aided rehabilitation of upper-extremity after stroke. Disability and Rehabilitation: Assistive Technology [online]. 2015, 11, DOI: 10.3109/17483107.2014.1002539.
  • [2] BÉJOT Y., BAILLY H., DURIER J., GIROUD M., Epidemiology of stroke in Europe and trends for the 21st century, La Presse Médicale [online], 2016, 45 (12), e391–e398, ISSN 07554982, DOI: 10.1016/j.lpm.2016.10.003.
  • [3] BREWER B.R., MCDOWELL S.K., WORTHEN-CHAUDHARI L.C., Poststroke upper extremity rehabilitation: a review of robotic systems and clinical results. Topics in Stroke Rehabilitation [online], 2007, 14 (6), 22–44. ISSN 1074-9357, DOI: 10.1310/tsr1406-22.
  • [4] DAUNORAVICIENE K., ADOMAVICIENE A., GRIGONYTE A., GRIŠKEVIČIUS J., JUOCEVICIUS A., Effects of robot-assisted training on upper limb functional recovery during the rehabilitation of poststroke patients. Technology and Health Care, Official Journal of the European Society for Engineering and Medicine [online], 2018, 26 (S2), 533–542, ISSN 1878-7401, DOI: 10.3233/THC-182500.
  • [5] FRANCESCHINI M., MAZZOLENI S., GOFFREDO M., POURNAJAF S., GALAFATE D., CRISCUOLO S., AGOSTI M., POSTERARO F., Upper limb robot-assisted rehabilitation versus physical therapy on subacute stroke patients: A follow-up study, Journal of Bodywork and Movement Therapies [online], 2020, 24 (1), 194–198, ISSN 13608592, DOI: 10.1016/j.jbmt.2019.03.016.
  • [6] HUANG H., JIPING H., Utilization of biomechanical modeling in design of robotic arm for rehabilitation of stroke patients, Conference Proceedings: Annual International Conference of the IEEE Engineering in Medicine and Biology Society, IEEE Engineering in Medicine and Biology Society. Annual Conference [online], 2004, 2718–2721, ISSN 1557-170X, DOI: 10.1109/IEMBS.2004.1403779.
  • [7] JIANG J., HUO B., MA X., ZHANG Y., YU X., SHICHANG S., Recent Patents on Exoskeletal Rehabilitation Robot for Upper Limb. Recent Patents on Mechanical Engineering [online], 2017, 10 (3), [vid. 2022-08-31], ISSN 22127976.10.2174/2212797610666170907101820.
  • [8] JIANG J.-G., HUO B., MA X., ZHANG Y., YU X., SHICHANG S., Recent Patents on Exoskeletal Rehabilitation Robot for Upper Limb. Recent Patents on Mechanical Engineering [online], 2017, DOI: 10. 10.2174/2212797610666170907101820.
  • [9] MAZGAJ P., DRZAZGA Z., KARPIEL I., GIEC-LORENZ A., KRZYSTANEK E., Use of MRI to Measure Whole Brain Atrophy in MS Patients, Acta Physica Polonica A [online], 2018, 133 (3), 725–727, ISSN 0587-4246, 1898-794X, DOI: 10.12693/APhysPolA.133.725.
  • [10] MEHRHOLZ J., POHL M., PLATZ T., KUGLER J., ELSNER B., Electromechanical and robot-assisted arm training for improving activities of daily living, arm function, and arm muscle strength after stroke, Cochrane Database of Systematic Reviews [online]. 2015 [vid. 2022-09-02], ISSN 14651858, DOI: 10.1002/14651858.CD006876.pub4.
  • [11] NYKA W., JANKOWSKA B., Zasady wczesnej rehabilitacji chorych z udarem niedokrwiennym mózgu, 2009, 7.
  • [12] RAND D., ENG J.J., Predicting Daily Use of the Affected Upper Extremity 1 Year after Stroke. Journal of Stroke and Cerebrovascular Diseases [online], 2015, 24 (2), 274–283. ISSN 10523057, DOI: 10.1016/j.jstrokecerebrovasdis.2014.07.039.
  • [13] SALE P., FRANCESCHINI M., MAZZOLENI S., PALMA E., AGOSTI M., POSTERARO F., Effects of upper limb robot-assisted therapy on motor recovery in subacute stroke patients, Journal of NeuroEngineering and Rehabilitation [online], 2014, 11 (1), 104, ISSN 1743-0003, DOI: 10.1186/1743-0003-11-104.
  • [14] SOBIECH M., WOLAŃSKI W., KARPIEL I., Brief Overview Upper Limb Rehabilitation Robots/Devices, [in:] C. Biele, J. Kacprzyk, W. Kopeć, J.W. Owsiński, A. Romanowski, M. Sikorski (Eds.) Digital Interaction and Machine Intelligence [online], Springer International Publishing, Cham 2022, 286–297, Lecture Notes in Networks and Systems, ISBN 978-3-031-11432-8, DOI: 10.1007/978-3-031-11432-8_29.
  • [15] VALAYIL T.P., AUGUSTINE R.S., Kinematics and workspace analysis of a robotic device for performing rehabilitation therapy of upper limb in stroke-affected patients, Acta Bioeng. Biomech., 2021, 23 (3), 175–189. ISSN 1509-409X.
  • [16] VAN KORDELAAR J., VAN WEGEN E., KWAKKEL G., Impact of Time on Quality of Motor Control of the Paretic Upper Limb After Stroke, Archives of Physical Medicine and Rehabilitation [online], 2014, 95 (2), 338–344, ISSN 00039993, DOI: 10.1016/j.apmr.2013.10.006
  • [17] WANG Z., CAI Z., CUI L., PANG C., Structure Design And Analysis Of Kinematics Of An Upper-limbed Rehabilitation Robot, MATEC Web of Conferences [online], 2018, 232, 02033, ISSN 2261-236X, DOI: 10.1051/matecconf/201823202033.
  • [18] YI J., YU H., ZHANG Y., HU X., SHI P., Kinematics Modeling and Analysis of Central-driven Robot for Upper Limb Rehabilitation after Stroke, Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi, 2015, 32 (6), 1196–1201. ISSN 1001-5515.
  • [19] ZEIAEE A., SOLTANI-ZARRIN R., LANGARI R., TAFRESHI R., Design and kinematic analysis of a novel upper limb exoskeleton for rehabilitation of stroke patients, IEEE International Conference on Rehabilitation Robotics: [proceedings] [online], 2017, 759–764, ISSN 1945-7901, DOI: 10.1109/ICORR.2017.8009339.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a8b68db8-96e4-4028-84a3-57c2eb625de8
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