Journal of Electromyography and Kinesiology
Volume 20, Issue 3 , Pages 465-476 , June 2010

Shoulder and elbow muscle activity during fully supported trajectory tracking in people who have had a stroke

  • A.M. Hughes

      Affiliations

    • School of Health Sciences, University of Southampton, Southampton, SO17 1BJ, UK
    • Corresponding Author InformationCorresponding author. Tel.: +44 (0)23 8059 5191.
  • ,
  • C.T. Freeman

      Affiliations

    • School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK
  • ,
  • J.H. Burridge

      Affiliations

    • School of Health Sciences, University of Southampton, Southampton, SO17 1BJ, UK
  • ,
  • P.H. Chappell

      Affiliations

    • School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK
  • ,
  • P.L. Lewin

      Affiliations

    • School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK
  • ,
  • E. Rogers

      Affiliations

    • School of Electronics and Computer Science, University of Southampton, Southampton, SO17 1BJ, UK

Received 19 February 2009 ,Revised 4 August 2009 ,Accepted 6 August 2009.

References 

  1. Beer RF, et al. Target-dependent differences between free and constrained arm movements in chronic hemiparesis. Exp Brain Res. 2004;156(4):458–470
  2. Broeks JG, et al. The long-term outcome of arm function after stroke: results of a follow-up study. Disabil Rehabil. 1999;21(8):357–364
  3. Buneo CA, Soechting JF, Flanders M. Muscle activation patterns for reaching: the representation of distance and time. J Neurophysiol. 1994;71(4):1546–1558
  4. Burridge JH, Ladouceur M. Clinical and therapeutic applications of neuromuscular stimulation: a review of current use and speculation into future developments. Neuromodulation. 2001;4(4):147–154
  5. Chae J, et al. Delay in initiation and termination of muscle contraction, motor impairment, and physical disability in upper limb hemiparesis. Muscle Nerve. 2002;25(4):568–575
  6. Cools AM, et al. Scapular muscle recruitment pattern: electromyographic response of the trapezius muscle to sudden shoulder movement before and after a fatiguing exercise. J Orthop Sports Phys Ther. 2002;32(5):221–229
  7. Daly JJ, et al. Prolonged cognitive planning time, elevated cognitive effort, and relationship to coordination and motor control following stroke. IEEE Trans Neural Syst Rehabil Eng. 2006;14(2):168–171
  8. De Kroon JR, et al. Therapeutic electrical stimulation to improve motor control and functional abilities of the upper extremity after stroke: a systematic review. Clin Rehabil. 2002;16:350–360
  9. De Kroon JR, et al. Relation between stimulation characteristics and clinical outcome in studies using electrical stimulation to improve motor control of the upper extremity in stroke. J Rehabil Med. 2005;37(2):65–74
  10. Dewald JP, et al. Reorganisation of flexion reflexes in the upper extremity of hemiparetic subjects. Muscle Nerve. 1999;22(9):1209–1221
  11. Edwards S. Neurological physiotherapy: a problem-solving approach. Elsevier Health Sciences. 2002;
  12. Francisco G, et al. Electromyogram-triggered neuromuscular stimulation for improving the arm function of acute stroke survivors: a randomized pilot study. Arch Phys Med Rehabil. 1998;79(5):570–575
  13. Freeman CT, et al. A robotic workstation for stroke rehabilitation of the upper extremity using FES. Med Eng Phys. 2008;31(3):364–373
  14. Gowland C, et al. Agonist and antagonist activity during voluntary upper-limb movement in patients with stroke. Phys Ther. 1992;72(9):624–633
  15. Hammond MC, Kraft GH, Fitts SS. Recruitment and termination of electromyographic activity in the hemiparetic forearm. Arch Phys Med Rehabil. 1988;69(2):106–110
  16. Hendricks HT, et al. Motor recovery after stroke: a systematic review of the literature. Arch Phys Med Rehabil 2002; 83.11: 1629–37 (Review, 93 refs.).
  17. Hermans HJ, et al. European recommendations for surface electromyography, results of the SENIAM project. Rossingh Res Dev b.v. 1999.
  18. Hu Xiaoling, et al. Variation of muscle coactivation patterns in chronic stroke during robot-assisted elbow training. Arch Phys Med Rehabil. 2007;88(8):1022–1029
  19. Hughes AM, Freeman C, Burridge J, Chappell P, Lewin P, Rogers E. Feasibility of iterative learning control mediated by functional electrical stimulation for reaching after stroke. J Neurorehabil Neural Repair. 2009;23(6):559–568ISSN 1545-9683
  20. Hughes AM, Freeman C, Burridge J, Chappell P, Lewin P, Pickering R, et al. Shoulder and elbow muscle activity during fully supported trajectory tracking in neurologically intact older people. J Electromyogr Kines. 2008;
  21. Inaba M, et al. Effectiveness of functional training, active exercise, and resistive exercise for patients with hemiplegia. Phys Ther. 1973;53(1):28–35
  22. Jackson J. Specific treatment techniques. In:  Stokes M editors. Physical management in neurological rehabilitation. Elsevier Mosby; 2004;p. 393–413
  23. Karst GM, Hasan Z. Initiation rules for planar, two-joint arm movements: agonist selection for movements throughout the work space. J Neurophys. 1991;66(5):1579–1593
  24. Kendall FP, Mc Creary EK, Provance PG. Muscles – testing and function. 4th ed. Baltimore: Williams & N Wilkins; 1993.
  25. Kwakkel G, Kollen BJ, Krebs HI. Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil Neural Repair. 2008;22:111–121
  26. Leonard CT, et al. Correlation between impairment and motor performance during reaching tasks in subjects with spastic hemiparesis. J Rehabil Med. 2006;38(4):243–249
  27. Lum PS, Burgar CG, Shor PC. Evidence for improved muscle activation patterns after retraining of reaching movements with the MIME robotic system in subjects with post-stroke hemiparesis. IEEE Trans Neural Syst Rehabil Eng. 2004;12(2):186–194
  28. Magill RA. Motor learning – concepts and applications. 5th ed. McGraw-Hill International Editions; 1998.
  29. McCrea PH, Eng JJ, Hodgson AJ. Saturated muscle activation contributes to compensatory reaching strategies after stroke. J Neurophys. 2005;94(5):2999–3008
  30. National audit office. Reducing brain damage: faster access to better stroke care. HC 452. 2005.
  31. Osu R, et al. Short and long-term changes in joint co-contraction associated with motor learning as revealed from surface EMG. J Neurophysiol. 2002;88(2):991–1004
  32. Prange GB, et al. Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. J Rehabil Res Dev. 2006;43(2):171–184
  33. Prange GB, et al. Increased range of motion and decreased muscle activity during maximal reach with gravity compensation in stroke patients. Int Conf Rehabil Robotics ICORR 2007;V:467–71.
  34. Rushton DN. Functional electrical stimulation and rehabilitation – an hypothesis. Med Eng Phys. 2003;25(1):75–78
  35. Saladin KS. Anatomy and physiology: the unity of form and function. 3rd ed. New York, NY: McGraw-Hill; 2004.
  36. Schmidt RA, Lee TD. Motor control and learning a behavioural emphasis. 3rd ed. Human Kinet Part 3 Motor Learn 1999; 261–85.
  37. Thoroughman KA, Shadmehr R. Electromyographic correlates of learning an internal model of reaching movements. J Neurosci. 1999;19(19):8573–8588
  38. van der Putten JJMF, et al. Measuring change in disability after inpatient rehabilitation: comparison of the responsiveness of the Barthel index and the functional independence measure. J Neurol, Neurosurg Psychiatry. 1999;66(4):480–484
  39. Winstein CJ, et al. A randomized controlled comparison of upper-extremity rehabilitation strategies in acute stroke: a pilot study of immediate and long-term outcomes. Arch Phys Med Rehabil. 2004;85(4):620–628

PII: S1050-6411(09)00103-5

doi: 10.1016/j.jelekin.2009.08.001

Journal of Electromyography and Kinesiology
Volume 20, Issue 3 , Pages 465-476 , June 2010