Skip to main content

Modelling Neuromuscular Function of SCI Patients in Balancing

  • Conference paper
  • First Online:
Converging Clinical and Engineering Research on Neurorehabilitation II

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 15))

Abstract

A novel neuromechanical model for investigating patient-specific lower limb movement dynamics after spinal cord injury (SCI) is presented. The model is designed in joint space and takes into account muscle neuromechanics. Application of the model is demonstrated in the application of a balancing task.

This work was funded in part by the EU-FP7 grants PEOPLE-ITN-317488-CONTEST, ICT-601003 BALANCE, ICT-611626 SYMBITRON, H20202 ICT-644727 COGIMON.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 429.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 549.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 549.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. M.F. McDonald et al., Length-tension properties of ankle muscles in chronic human spinal cord injury. J. Biomech. 38(12), 2344–2353 (2005)

    Article  Google Scholar 

  2. P.J. Sinclair et al., Musculo-skeletal modelling of NMES-evoked knee extension in spinal cord injury. J. Biomech. 39(3), 483–492 (2006)

    Article  Google Scholar 

  3. K. Amankwah et al., Effects of spinal cord injury on lower-limb passive joint moments revealed through a nonlinear viscoelastic model. J. Rehabil. Res. Dev. 41(1), 15 (2004)

    Article  Google Scholar 

  4. S. Lotta et al., Morphometric and neurophysiological analysis of skeletal muscle in paraplegic patients with traumatic cord lesion. Spinal Cord 29(4), 247–252 (1991)

    Article  Google Scholar 

  5. C.A. Pelletier et al., The length-tension relationship of human dorsiflexor and plantarflexor muscles after spinal cord injury. Spinal Cord 48(3), 202–206 (2010)

    Article  Google Scholar 

  6. S. Dudley-Javoroski et al., Muscle and bone plasticity after spinal cord injury: review of adaptations to disuse and to electrical muscle stimulation. J. Rehabil. Res. Dev. 45(2), 283 (2008)

    Article  Google Scholar 

  7. C. Fornusek et al., The force-velocity relationship of paralyzed quadriceps muscles during functional electrical stimulation cycling. Neuromodulation: Technology at the Neural. Interface 10(1), 68–75 (2007)

    Google Scholar 

  8. R.K. Shields, Muscular, skeletal, and neural adaptations following spinal cord injury. J. Orthop. Sports Phys. Therapy 32(2), 65–74 (2002)

    Article  Google Scholar 

  9. A.V. Hill, The heat of shortening and the dynamic constants of muscle. Proc. Roy. Soc. Lond. B Biol. Sci. 126(843), 136–95 (1938)

    Google Scholar 

  10. M.M. Mirbagheri et al., Intrinsic and reflex stiffness in normal and spastic, spinal cord injured subjects. Exp. Brain Res. 141(4), 446–459 (2001)

    Article  Google Scholar 

  11. A.D. Kuo, An optimal control model for analyzing human postural balance. IEEE Trans. Biomed. Eng. 42(1), 87–101 (1995)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Hsien-Yung Huang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Huang, HY., Farkhatdinov, I., Arami, A., Burdet, E. (2017). Modelling Neuromuscular Function of SCI Patients in Balancing. 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_60

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-46669-9_60

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-46668-2

  • Online ISBN: 978-3-319-46669-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics