Abstract
This work presents the modeling of the MX-64 and RX-64 servomotors from Robotis® and the analysis of their influence in some biomechanical movements for the rehabilitation of the upper brachial plexus injury. The model of each motor was introduced in a musculoskeletal model of the upper limb in order to compare their response and contribution in the movements made by a patient. The results have verified the feasibility of using these servomotors in an exoskeleton for the rehabilitation process of the injury.
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References
R. Colombo et al., Robotic techniques for upper limb evaluation and rehabilitation of stroke patients. IEEE Trans. Neural. Syst. Rehabil. Eng. 13(3), 311–324 (2005)
J. Perry, J. Rosen, S. Burns, Upper-limb powered exoskeleton design. IEEE/ASME Trans. Mechatron. 12(4) ( 2007)
R. Loureiro, W. Harwin, K. Nagai, M. Johnson, Advances in upper limb stroke rehabilitation: a technology push. Med. Bio. Eng. Comput. 49(10), 1103–1118 (2011). Springer
M. Slack, D. Berbrayer, A myoelectrically controlled wrist-hand orthosis for brachial plexus injury: a case study. J. Prosthet. Ortht. 4(3) (1992)
T. Rahman, W. Sample, R. Seliktar, in Design and testing of WREX. Advances in Rehabilitation Robotics, LNCIS 306, pp. 243–250. Springer-Verlag Berlin Heidelberg (2004)
T. Sutcliffe, Brachial plexus injury in the newborn. Neo Rev. Off. J. Am. Acad. Pediatr. 8(6), 239–246 (2007)
Dynamixel MX-64 Product Manual. Robotis Inc.
Dynamixel RX-64 Product Manual. Robotis Inc.
C. García et al., Skeletal Modeling, Analysis and Simulation of Upper Limb of Human Shoulder under Brachial Plexus Injury, in Advances in Intelligent Systems and Computing ROBOT 2013, Advances in Robotics, 1, ed. by M.A. Armada, et al. (Springer-Verlag, New York, NY, USA, 2013), pp. 195–207
M.A. Destarac et al., Modeling and Simulation of Upper Brachial Plexus Injury. IEEE Syst. J. (2015). doi:10.1109/JSYST.2014.2387426
R. Davoodi, U. Todorov, G.E. Loeb, Development of Clinician-Friendly software for Musculoskeletal Modeling and Control, in IEEE EMBS Proceeding 26th Annual International Conference, vol. 2, pp. 4622–4625 (2004)
M. Khachani, R. Davoodi, G.E. Loeb, Musculo-skeletal modeling software (msms) for biomechanics and virtual rehabilitation, in Proceedings of American Society Biomechanics Conferrence (2007)
Acknowledgments
This work was supported by grants from Spanish Government CICYT Project Ref. DPI2014-57220-C2-1-P and Comunidad de Madrid who supports the project ROBOCITY2030-III Ref. S2013/MIT-2748.
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Monge Chamorro, L.J., García Cena, C.E., Destarac, M.A., Pazmiño, R.S. (2017). Simulation of Rehabilitation Therapies for Brachial Plexus Injury Under the Influence of External Actuators. In: Ibáñez, J., González-Vargas, J., Azorín, J., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation II. Biosystems & Biorobotics, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-46669-9_169
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DOI: https://doi.org/10.1007/978-3-319-46669-9_169
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