Advertisement

Universal Access in the Information Society

, Volume 10, Issue 2, pp 139–150 | Cite as

Analyzing motoric and physiological data in describing upper extremity movement in the aged

  • Gaurav N. Pradhan
  • Navzer Engineer
  • Mihai Nadin
  • B. Prabhakaran
Long Paper
  • 104 Downloads

Abstract

Cognitive functions, motoric expression, and changes in physiology are often studied separately, with little attention to the relationships or correlations among them. The study presented in this paper implements an integrated approach by combining motion capture (action) and EMG (physiological) parameters as synchronized data streams resulting from the action and associated physiological data. The reported experiments were designed to measure the preparatory movement capabilities of the upper extremities. In particular, measurement of changes in preparatory activity during the aging process is of interest in this context, as the attempt is to develop means to compensate for loss of adaptive capabilities that aging entails. To achieve this goal, it is necessary to quantify preparation phases (timing and intensity). Motion capture and EMG parameters were measured when subjects raised their arms without constraint (condition one) and raised their arms while holding a ball (second condition). Furthermore, on comparing aging and young participants, it was confirmed that with aging the temporal relationships between actual movement and the preceding EMG signal change.

Keywords

Aging Analysis of variance Factor analysis Electromyogram Motion capture 

References

  1. 1.
  2. 2.
    Adamo, D., Martin, B., Brown, S.: Age-related diferences in upper limb propriceptive acuity. Percept. Mot. Skills. 104(1), 1297–1309 (2007)Google Scholar
  3. 3.
    Pearson, G., Torres, M., Mian, O., Minetti, A.E., Maganaris, C., Narici, M.V.: Ageing, postural and dynamic balance performances: effects of specific stability, inertial and isotonic training. J. Aging Phys. Activ. 12(3), 414–415 (2004)Google Scholar
  4. 4.
    Bleusea, S., Cassima, F., Blatta, J.L., Labyt, E.: Effect of age on anticipatory postural adjustments in unilateral arm movement. Gait Post. 24(2), 203–210 (2006)CrossRefGoogle Scholar
  5. 5.
    Bleusea, S., Cassima, F., Blatta, J.L., Labyt, E.: Effect of aging on the coordination between equilibrium and movement: what changes? Exp. Brain Res. 187(2), 255–265 (2008)CrossRefGoogle Scholar
  6. 6.
    Bugnariu, N., Fung, J.: Aging and selective sensorimotor strategies in the regulation of upright balance. J. Neuro Eng. Rehabil. 4(19) (2007)Google Scholar
  7. 7.
    Falla, D., Rainoldi, A., Merletti, R., Jull, G.: Spatio-temporal evaluation of neck muscle activation during postural perturbations in healthy subjects. J. Electromyogr. Kinesiol. 14(4), 463–474 (2004)CrossRefGoogle Scholar
  8. 8.
    Ferguson, R., Ball, D., Sargeant, A.: Effect of muscle temperature on rate of oxygen uptake during exercise in humans at different contraction frequencies. J. Exp. Biol. 205(1), 981–987 (2002)Google Scholar
  9. 9.
    Finch, E.: Physical rehabilitation outcome measures: a guide to enhanced clinical decision making. Lippincott Williams and Wilkins, Baltimore (2002)Google Scholar
  10. 10.
    Fowler, N., Nicol, A.: Measurement of external three-dimensional interphalangeal loads applied during activities of daily living. Clin. Biomech. 14(1), 646–652 (1999)CrossRefGoogle Scholar
  11. 11.
    Gaur, D., Shenoy, S., Sandhu, J.: Effect of aging on activation of shoulder muscles during dynamic activities: an electromyographic analysis. Int. J. Shoulder Surg. 1(2), 51–57 (2007)CrossRefGoogle Scholar
  12. 12.
    Gilles, M., Wing, A.: Age-related changes in grip force and dynamics of hand movement. J. Mot. Behav. 35(1), 79–85 (2003)CrossRefGoogle Scholar
  13. 13.
    Gottsdanker, R.: Age and simple reaction time. J. Gerontol. 37, 342–348 (1982)Google Scholar
  14. 14.
    Hortobágyi, T., Solnik, S., Gruber, A., Rider, P., Steinweg, K., Helseth, J., DeVita, P.: Interaction between age and gait velocity in the amplitude and timing of antagonist muscle coactivation. Gait Post. 29(4), 558–564 (2009)CrossRefGoogle Scholar
  15. 15.
    Hsu, M.J., Wei, S.H., Yu, Y.H., Chang, Y.J.: Leg stiffness and electromyography of knee extensors/flexors: comparison between older and younger adults during stair descent,. J. Rehabil. Res. Dev. 44(3), 429–436 (2007)CrossRefGoogle Scholar
  16. 16.
    Jagacinski, R., Greenberg, N., Liao, M., Wang, J.: Manual performance of a repeated pattern by older and younger adults with supplementary auditory cues. Psychol. Aging 8, 429–439 (1993)CrossRefGoogle Scholar
  17. 17.
    Fee, J.W. Jr., Miller, F., Lennon, N.: Emg reaction in muscles about the knee to passive velocity, acceleration, and jerk manipulations. J. Electromyogr. Kinesiol. 19(3), 467–475 (2009)Google Scholar
  18. 18.
    Lacquaniti, F., Maioli, C.: The role of preparation in tuning anticipatory and reflex responses during catching. J. Neurosci. 9(1):134–148 (1989)Google Scholar
  19. 19.
    Larsen, A.H., Puggaard, L., Hämäläinen, U., Aagaard, P.: Comparison of ground reaction forces and antagonist muscle coactivation during stair walking with ageing. J. Electromyogr. Kinesiol. 18(4), 568–580 (2008)CrossRefGoogle Scholar
  20. 20.
    Lupinacci, N., Rikli, R., Jones, C., Rose, D.: Age and physical activity effects on reaction time and digit symbol substitution performance in cognitively active adults. Res. Q. Exer. Sport 64, 144–150 (1993)Google Scholar
  21. 21.
    McCrea, P., Eng, J., Hodgson, A.: Biomechanics of reaching: clinical implications for individuals with acquired brain injury. J. Disab. Rehabil. 24(10), 534–541 (2002)CrossRefGoogle Scholar
  22. 22.
    Melzer, I., Benjuya, N., Kaplanski, J.: Age-related changes of postural control: effect of cognitive tasks. Gerontology 47(4), 189–194 (2001)CrossRefGoogle Scholar
  23. 23.
    Murphy, M.A., Sunnerhagen, K.S., Johnels, B., Willén, C.: Biomechanics of reaching: clinical implications for individuals with acquired brain injury. J. Neuro Eng. Rehabil. 3(18), 1–11 (2006)Google Scholar
  24. 24.
    Nadin, M.: Mind—anticipation and chaos. Belser Presse, New York (1991)Google Scholar
  25. 25.
    Pijnappels, M., Bobbert, M., van Dieën, J.: Emg modulation in anticipation of a possible trip during walking in young and older adults. J. Electromyogr. Kinesiol. 16(2), 137–143 (2005)CrossRefGoogle Scholar
  26. 26.
    Pradhan, G., Engineer, N., Nadin, M., Prabhakaran, B.: An integrated mobile wireless system for capturing physiological data streams during a cognitive-motor task: applications for aging. In: IEEE dallas engineering in medicine and biology workshop, pp. 67–70 (2007)Google Scholar
  27. 27.
    Rau, G., Disselhorst-Klug, C., Schmidt, R.: Movement biomechanics goes upwards: from the leg to the arm. J. Biomech. 33(10), 1207–1216 (2000)CrossRefGoogle Scholar
  28. 28.
    Shan, J., Fu, Y., Dunn, B., Shan, G.: A novel measurement system fo quantitaive assessment of age-related sensori-motor degradation. Biomed. Eng. Appl. Basis Commun. 21(1), 17–28 (2009)CrossRefGoogle Scholar
  29. 29.
    Smith, C.D., Umberger, G.H., Manning, E.L., Slevin, J.T., Wekstein, D.R., Schmitt, F.A., Markesbery, W.R., Zhang, Z., Gerhardt, G.A., Kryscio, R.J., Gash, D.M. Critical decline in fine motor hand movements in human aging. Neurology 53(7), 1458–1461 (1999)Google Scholar
  30. 30.
    Wade, D.: Measurement in neurological rehabilitation. Oxford University Press, Oxford (1992)Google Scholar
  31. 31.
    Warabi, T., Noda, H., Kato, T.: Effect of aging on sensorimotor functions of eye and hand movements. Exp. Neurol. 92(3), 686–697 (1986)CrossRefGoogle Scholar
  32. 32.
    Yamada, H., Masuda, T., Okada, M.: Age-related emg variables during maximum voluntary contraction. Percept. Mot. Skills 95(1), 10–14 (2002)Google Scholar
  33. 33.
    Yan, J., Thomas, J., Stelmach, G.: Aging and rapid aiming arm movement control. Exp. Aging Res. 24(2), 155–168 (1998)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Gaurav N. Pradhan
    • 1
  • Navzer Engineer
    • 2
  • Mihai Nadin
    • 2
  • B. Prabhakaran
    • 2
  1. 1.Arizona State UniversityTempeUSA
  2. 2.The University of Texas at DallasRichardsonUSA

Personalised recommendations