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Kamnik, R.; Bajd, T.; Williamson, J.; Murray-Smith, R. (2005)
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Languages: English
Types: Other
Subjects: TJ
The paper presents a robot cell for multimodal standing-up motion augmentation. The robot cell is aimed at augmenting the standing-up capabilities of impaired or paraplegic subjects. The setup incorporates the rehabilitation robot device, functional electrical stimulation system, measurement instrumentation and cognitive feedback system. For controlling the standing-up process a novel approach was developed integrating the voluntary activity of a person in the control scheme of the rehabilitation robot. The simulation results demonstrate the possibility of “patient-driven” robot-assisted standing-up training. Moreover, to extend the system capabilities, the audio cognitive feedback is aimed to guide the subject throughout rising. For the feedback generation a granular synthesis method is utilized displaying high-dimensional, dynamic data. The principle of operation and example sonification in standing-up are presented. In this manner, by integrating the cognitive feedback and “patient-driven” actuation systems, an effective motion augmentation system is proposed in which the motion coordination is under the voluntary control of the user.
  • The results below are discovered through our pilot algorithms. Let us know how we are doing!

    • [1] A. Kralj and T. Bajd, Functional Electrical Stimulation: Standing and Walking After Spinal Cord Injury. Boca Raton, Florida: CRC Press, 1989.
    • [2] T. Bajd, A. Kralj, and R. Turk, “Standing-up of a healthy subject and a paraplegic patient,” J. Biomech., vol. 15, no. 1, pp. 1-10, 1982.
    • [3] R. Kobetic, R. Triolo, J. Uhlir, C. Bieri, M. Wibowo, G. Polando, E. Marsolais, J. Davis, K. Ferguson, and M. Sharma, “Implanted functional electrical system for mobility in paraplegia: A follow-up case report,” IEEE Trans. Rehab. Eng., vol. 7.
    • [4] K. Schu¨ldt, J. Ekholm, G. Ne´meth, U. Arborelius, and K. HarmsRingdahl, “Knee load and muscle activity during exercises in rising,” Scand. J. Rehabil. Med., vol. 15, suppl. 9, pp. 174-199, 1983.
    • [5] R. Riener, M. Ferrarin, E. Pavan, and C. Frigo, “Patient-driven control of FES-supported standing up and sitting down: Experimental results,” IEEE Trans. Rehabil. Eng., vol. 8, no. 4, pp. 523-529, Dec. 2000.
    • [6] R. Kamnik and T. Bajd, “Standing-up robot: an assistive rehabilitative device for training and assessment,” J. med. eng. technol., vol. 28, no. 2, pp. 74-80, Mar./Apr. 2004.
    • [7] --, “Human voluntary activity integration in the control of a standing-up rehabilitation robot: A simulation study,” submitted to Med. eng. phys.
    • [8] N. Hogan, “Impedance control: An approach to manipulation: parts i, ii, iii,” J. Dyn. Syst. Meas. Control, vol. 107, no. 1, pp. 1-24, 1985.
    • [9] R. Kamnik, D. Matko, and T. Bajd, “Application of model reference adaptive control to industrial robot impedance control,” J. Intell. Robot. Syst., vol. 22, no. 2, pp. 153-163, June 1998.
    • [10] N. de N. Donaldson and C.-H. Yu, “Experiments with CHRELMS patient-driven stimulator controllers for the restoration of function to paralysed legs,” Proc. Inst. Mech. Eng., H J. eng. med., vol. 214, no. 1, pp. 1-20, 2000.
    • [11] P. D. Leva, “Adjustments to zatsiorksy-seluyanov's segment inertia parameters,” J. Biomech., vol. 29, no. 9, pp. 1223-1230, Sept. 1996.
    • [12] R. Brown and P. Hwang, Introduction to Random Signals and Applied Kalman Filtering. New York, USA: John Wiley & Sons, 1997.
    • [13] S. Julier, J. Uhlman, and H. Durrant-Whyte, “A new approach for filtering nonlinear systems,” in Proceedings of the 1995 American Control Conference, Seattle.
    • [14] R. Riener and T. Edrich, “Identification of passive elastic joint moments in the lower extremities,” J. Biomech., vol. 32, no. 5, pp. 539-544, May 1999.
    • [15] C. Roads, “Granular systhesis of sound,” Comput. music j., vol. 2.
    • [16] --, Microsound. Cambridge, USA: MIT Press, 2002.
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