Medical Engineering & Physics
Volume 31, Issue 10 , Pages 1255-1260 , December 2009

Modeling the relationship between wrist angle and muscle thickness during wrist flexion–extension based on the bone–muscle lever system: A comparison study

  • Jun Shi

      Affiliations

    • School of Communication and Information Engineering, Shanghai University, Shanghai, China
    • Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China
    • Corresponding Author InformationCorresponding author at: School of Communication and Information Engineering, Shanghai University, Box 159, 149 Yan Chang Road, Shanghai, PR China. Tel.: +86 21 56331787; fax: +86 21 56331787.
    • ,
  • Yongping Zheng

      Affiliations

    • Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China
    • Research Institute of Innovative Products and Technology, Hong Kong Polytechnic University, Hong Kong, China
    • ,
  • Xin Chen

      Affiliations

    • Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China
    • Department of Biomedical Engineering, Shenzhen University, Shenzhen, China
    • ,
  • Hongbo Xie

      Affiliations

    • Department of Health Technology and Informatics, Hong Kong Polytechnic University, Hong Kong, China
    • Department of Biomedical Engineering, Jiangsu University, Zhenjiang, China

Received 9 December 2008 ,Revised 3 August 2009 ,Accepted 10 August 2009.

References 

  1. Lemos RR, Epstein M, Herzog W. Modeling of skeletal muscle: the influence of tendon and aponeuroses complicance on the force-length relationship. Med Biol Eng Comput. 2008;46(1):23–32
  2. Lieber RL. Skeletal muscle structure, function, and plasticity: the physiological basis of rehabilitation. Baltimore, MD: Lippincott Williams & Wilkins; 2002;
  3. Caldwell GE. Tendon elasticity and relative length: effects on the hill two-component muscle model. J Appl Biomech. 1995;11(1):1–24
  4. Wu JZ, Herzog W. Modelling concentric contraction of muscle using an improved cross-bridge model. J Biomech. 1999;32(8):837–848
  5. Dong F, Clapworthy GJ, Krokos MA, Yao J. An anatomy-based approach to human muscle modeling and deformation. IEEE Trans Visual Comput Gr. 2002;8(2):154–170
  6. Van der Linden BJ, Koopman HF, Grootenboer HJ, Huijing PA. Modelling functional effects of muscle geometry. J Electromyogr Kinesiol. 1998;8(2):101–109
  7. Blemker SS, Asakawa DS, Gold GE, Delp SL. Image-based musculoskeletal modeling: applications, advances, and future opportunities. J Magn Reson Imag. 2007;25(2):441–451
  8. Liu MM, Herzog W, Savelberg HHCM. Dynamic muscle force predictions from EMG: an artificial neural network approach. J Electromyogr Kinesiol. 1999;9(6):391–400
  9. Shi J, Zheng YP, Yan ZZ. Prediction of wrist angle from sonomyography signals with artificial neural networks technique. Conf Proc IEEE Eng Med Biol Soc. 2006;1:3549–3552
  10. Shi J, Zheng YP, Yan ZZ. SVM for estimation of wrist angle from sonomyography and SEMG signals. Conf Proc IEEE Eng Med Biol Soc. 2007;4806–4809
  11. Xie BH, Zheng YP, Guo JY, Chen X, Shi J. Estimation of wrist angle from sonomyography using support vector machine and artificial neural network models. Med Eng Phys. 2009;31(3):384–391
  12. Yucesoya CA, Koopmana BHFJM , Huijinga PA, Grootenboer HJ. Three-dimensional finite element modeling of skeletal muscle using a two-domain approach linked fiber-matrix mesh model. J Biomech. 2002;35(9):1253–1262
  13. Grosse IR, Dumont ER, Coletta C, Tolleson A. Techniques for modeling muscle-induced forces in finite element models of skeletal structures. Anat Rec. 2007;290(9):1069–1088
  14. Maganaris CN. A predictive model of moment-angle characteristics in human skeletal muscle: application and validation in muscles across the ankle joint. J Theor Biol. 2004;230(1):89–98
  15. Shi J, Zheng YP, Chen X, Huang QH. Assessment of muscle fatigue using sonomyography: muscle thickness change detected from ultrasound images. Med Eng Phys. 2007;29(4):472–479
  16. Shi J, Zheng YP, Huang QH, Chen X. Continuous monitoring of sonomyography, electromyography and torque generated by normal upper arm muscles during isometric contraction: sonomyography assessment for arm muscles. IEEE Trans Biomed Eng. 2008;55(5):1191–1198
  17. Narici MV, Binzoni T, Hiltbrand E, Fasel J, Terrier F, Cerretelli P. In vivo human gastrocnemius architecture with changing joint angle at rest and during graded isometric contraction. J Physiol. 1996;496(1):287–297
  18. Mademli L, Arampatzis A. Behaviour of the human gastrocnemius muscle architecture during submaximal isometric fatigue. Eur J Appl Physiol. 2005;94(5-6):611–617
  19. Reeves ND, Maganaris CN, Narici MV. Ultrasonographic assessment of human skeletal muscle size. Eur J Appl Physiol. 2004;91(4):116–118
  20. Hodges PW, Pengel LHM, Herbert RD, Gandevia SC. Measurement of muscle contraction with ultrasound imaging. Muscle Nerve. 2003;27(6):682–692
  21. Zheng YP, Chan MMF, Shi J, Chen X, Huang QH. Sonomyography: monitoring morphological changes of forearm muscles in actions with the feasibility for the control of powered prosthesis. Med Eng Phys. 2006;28(5):405–415
  22. Maganaris CN, Baltzopoulos V, Sargeant AJ. Human calf muscle responses during repeated isometric plantarflexions. J Biomech. 2006;39(7):1249–1255
  23. Zuubrier CJ, Huijing PA. Changes in gerometry of actively shortening unipennate rat gastrocnemius muscle. J Morphol. 1993;218(2):167–180
  24. Heath GH. Control of proportional grasping using a myokinemetric signal. Technol Disabil. 2003;15(2):73–83
  25. Loren GJ, Shoemaker SD, Burkholder TJ, Jacobson MD, Friden J, Lieber RL. Human Wrist motors: biomechanical design and application to tendon transfers. J Biomech. 1996;29(3):331–342
  26. Wang L, Buchanan TS. Prediction of joint moments using a neural network model of muscle activations from EMG signals. IEEE Trans Neural Syst Rehabil Eng. 2002;10(1):30–37
  27. Guler NF, Kocer S. Use of support vector machines and neural network in diagnosis of neuromuscular disorders. J Med Syst. 2005;29(3):271–284
  28. Suykens JAK, De Brabanter J, Lukas L, Vandewalle J. Weighted least squares support vector machines: robustness and sparse approximation. Neurocomputing. 2002;48(1-4):85–105
  29. Luh JJ, Chang GC, Cheng CK, Lai JS, Kuo TS. Isokinetic elbow joint torques estimation from surface EMG and joint kinematic data: using an artificial neural network model. J Electromyogr Kinesiol. 1999;9(3):173–183
  30. Guo JY, Zheng YP, Huang QH, Chen X. Dynamic monitoring of forearm muscles using one-dimensional sonomyography system. J Rehabil Res Dev. 2008;45(1):187–195
  31. Shi J, Zheng YP, Zhou KY. A pilot study of The SMG Controlled Prosthesis. In: 2007 IEEE/ICME International Conference on Complex Medical Engineering. 2007;p. 1190–1193

PII: S1350-4533(09)00178-7

doi: 10.1016/j.medengphy.2009.08.003

Medical Engineering & Physics
Volume 31, Issue 10 , Pages 1255-1260 , December 2009

Article Tools

* Image Usage & Resolution