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Advanced rehabilitation device based on artificial muscle actuators with neural network implementation

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In this paper the rehabilitation device for upper arm based on artificial muscles is introduced. Presented automated rehabilitation device has three degrees of freedom: 2 DOF in arm and 1 DOF in elbow that provides almost all basic rehabilitation exercises. Artificial pneumatics muscles will be tested in connection with spring and antagonistic connection. This system provides lifting and falling of arm construction based on patient force. There is possibility to generate help force during rehabilitation or opposite load. Artificial muscles are controlled by pneumatic valves terminal from micro computer based on MCU. Higher level control system provides artificial intelligence implementation based on neural network for prediction and change of load according sensor values history (incremental sensor, pressure sensor). For prototype testing there is described usability of industrial robot to test precision of load and trajectories during rehabilitation. This automatic rehabilitation device will help to reduce therapeutics work with patient, automate and improve rehabilitation process.
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  • Technical University of Kosice, Faculty of mechanical engineering, Department of Biomedical engineering automation a measuring, Košice, 042 00, Slovakia, kamil.zidek@tuke.sk
Bibliografia
  • [1] Cuccurullo Sara J., Physical medicine and rehabilitation board review, Demos Medical Publishing, 2010, p. 938.
  • [2] Hopen J. M., Hosovsky A., “The servo robustification of the industrial robot”. In: Annals of DAAAM for 2005, 19-22 October 2005, Opatija, DAAAM International, Vienna, Austria 2005. ISSN 1726-9679, pp. 161-162.
  • [3] Kommu I.S. et al., Rehabilitation Robotics, I-Tech Education and Publishing, Vienna, Austria 2007. ISBN 978-3-902613-01-1. P. 638.
  • [4] Piteľ J., Balara M., Boržíková, J., “Control of the Actuator with Pneumatic Artificial Muscles in Antagonistic Connection”, VŠB – Technical University of Ostrava, vol. LIII, no. 2, 2007. ISSN 1210-0471, pp. 101106.
  • [5] Pons J.L., Rocon E., Ruiz A.F., Moreno J.C., “Upper- Limb Robotic Rehabilitation Exoskeleton: Tremor Suppression”. In: Rehabilitation Robotics, Bioengineering Group, Instituto de Automática Industrial – CSIC, Spain, 2007. ISBN: 978-3-902613-04-2, pp. 453-470.
  • [6] Sarakoglou I., Kousidou S., Nikolaos G. et al., Exoskeleton-Based Exercisers for the Disabilities of the Upper Arm and Hand in Rehabilitation Robotics, UK, 2007, pp. 499-522.
  • [7] Sun J., Yu Y., Ge Y., Chen F., “Research on the Multi-Sensors Perceptual System of a Wearable Power Assist Leg Based on CANBUS”. In: Proceedings of the 2007 International Conference on Information Acquisition, 2007.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BUJ8-0016-0018
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