Medical Engineering & Physics
Volume 31, Issue 8 , Pages 945-951 , October 2009

Array electrode design for transcutaneous electrical stimulation: A simulation study

  • Andreas Kuhn

      Affiliations

    • Automatic Control Laboratory, ETH Zurich, Switzerland
    • Altran AG, Technology and R&D Consulting, Zurich, Switzerland
    • Corresponding Author InformationCorresponding author at: Automatic Control Laboratory, ETH Zurich, Switzerland. Tel.: +41 44 632 6571.
  • ,
  • Thierry Keller

      Affiliations

    • Automatic Control Laboratory, ETH Zurich, Switzerland
    • Biorobotics Department, Fatronik-Tecnalia, Donostia-San Sebastian, Spain
  • ,
  • Silvestro Micera

      Affiliations

    • Automatic Control Laboratory, ETH Zurich, Switzerland
    • ARTS Lab, Scuola Superiore Sant’Anna, Pisa, Italy
  • ,
  • Manfred Morari

      Affiliations

    • Automatic Control Laboratory, ETH Zurich, Switzerland

Received 18 October 2008 ,Revised 29 April 2009 ,Accepted 1 May 2009.

References 

  1. Baker LL, McNeal DR, Benton LA, Bowman BR, Waters RL. Neuromuscular electrical stimulation. 4th ed.. 2000;
  2. Sheffler LR, Chae J. Neuromuscular electrical stimulation in neurorehabilitation. Muscle Nerve. 2007;35(5):562–590
  3. Popovic MR, Popovic DB, Keller T. Neuroprostheses for grasping. Neurol Res. 2002;24(5):443–452
  4. Snoek GJ, Jzerman IMJ, intGroen FA, Stoffers TS, Zilvold G. Use of the ness handmaster to restore handfunction in tetraplegia: clinical experiences in ten patients. Spinal Cord. 2000;38(4):244–249
  5. Popovic-Bijelic A, Bijelic G, Jorgovanovic N, Bojanic D, Popovic MB, Popovic DB. Multi-field surface electrode for selective electrical stimulation. Artif Organs. 2005;29(6):448–452
  6. Elsaify A, Fothergill JC, Peasgood W. A portable fes system incorporating an electrode array and feedback sensors.. In: Vienna international workshop on functional electrostimulation, vol. 8. 2004;p. 191–194
  7. Lawrence M, Kirstein T, Keller T. Electrical stimulation of finger flexors using ‘virtual electrodes’. In: Vienna international workshop on functional electrostimulation, vol. 8. 2004;
  8. Keller T, Lawrence M, Kuhn A, Morari M. New multi-channel transcutaneous electrical stimulation technology for rehabilitation. In: Annual international conference of the IEEE engineering in medicine and biology society. 2006;p. 184–187(IEEE Cat. No. 06CH37748)
  9. Lawrence M, Pitschen G, Keller T, Kuhn A, Morari M. Finger and wrist torque measurement system for the evaluation of grasp performance with neuroprosthesis. Artif Organs. 2008;32(8):634–638
  10. Keller T, Kuhn A, Lawrence M, Morari M. Textile neuroprosthesis garment for functional electrical stimulation. In: Vienna international workshop on functional electrostimulation, vol. 9. 2007;
  11. Kuhn A, Keller T, Lawrence M, Morari M. A model for transcutaneous current stimulation: simulations and experiments. Med Biol Eng Comput. 2009;47(3):279–289
  12. Kuhn A, Keller T. The influence of capacitive properties on nerve activation in transcutaneous electrical stimulation. In: International Symposium on Computer Methods in Biomechanics and Biomedical Engineering, vol. 7. Antibes, France. 2006;
  13. Plonsey R, Heppner DB. Considerations of quasi-stationarity in electrophysiological systems. Bull Math Biophys. 1967;29(4):657–664
  14. Kuhn A, Keller T, Prenaj B, Morari M. The relevance of non-linear skin properties for a transcutaneous electrical stimulation model. In: International Functional Electrical Stimulation Society Conference, vol. 11. Zao, Japan. 2006;
  15. Gabriel S, Lau RW, Gabriel C. The dielectric properties of biological tissues: III. Parametric models for the dielectric spectrum of tissues. Phys Med Biol. 1996;41(11):2271–2293
  16. Reilly JP, Antoni H, Chilbert MA, Sweeney JD. Applied bioelectricity from electrical stimulation to electropathology. New York: Springer; 1998;
  17. Rijkhoff NJ, Holsheimer J, Koldewijn EL, Struijk JJ, van Kerrebroeck PE, Debruyne FM, et al. Selective stimulation of sacral nerve roots for bladder control: a study by computer modeling. IEEE Trans Biomed Eng. 1994;41(5):413–424
  18. Prodanov D, Feirabend HK. Morphometric analysis of the fiber populations of the rat sciatic nerve, its spinal roots, and its major branches. J Comp Neurol. 2007;503(1):85–100
  19. Lertmanorat Z, Gustafson KJ, Durand DM. Electrode array for reversing the recruitment order of peripheral nerve stimulation: experimental studies. Ann Biomed Eng. 2006;34(1):152–160
  20. McIntyre CC, Richardson AG, Grill WM. Modeling the excitability of mammalian nerve fibers: influence of afterpotentials on the recovery cycle. J Neurophysiol. 2002;87(2):995–1006
  21. Warman EN, Grill WM, Durand D. Modeling the effects of electric fields on nerve fibers: determination of excitation thresholds. IEEE Trans Biomed Eng. 1992;39(12):1244–1254
  22. Moffitt MA, McIntyre CC, Grill WM. Prediction of myelinated nerve fiber stimulation thresholds: limitations of linear models. IEEE Trans Biomed Eng. 2004;51(2):229–236
  23. Standring S. Gray’s Anatomy. 39th ed.. 2005;
  24. Lyons GM, Leane GE, Clarke-Moloney M, O’Brien JV, Grace PA. An investigation of the effect of electrode size and electrode location on comfort during stimulation of the gastrocnemius muscle. Med Eng Phys. 2004;26(10):873–878
  25. Keller T, Hackl B, Lawrence M, Kuhn A. Identification and control of hand grasp using multi-channel transcutaneous electrical stimulation. In: International functional electrical stimulation society conference, vol. 11. Zao, Japan. 2006;p. 29–31

PII: S1350-4533(09)00112-X

doi: 10.1016/j.medengphy.2009.05.006

Medical Engineering & Physics
Volume 31, Issue 8 , Pages 945-951 , October 2009