Korean Journal of Applied Biomechanics (한국운동역학회지)

Korean Society of Applied Biomechanics (한국운동역학회)
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Dynamic Stability Analysis of Patients with Degenerative Osteoarthritise during Walking

보행 시 퇴행성 관절염 환자의 동적 안정성 분석

  • Published : 2008.03.30
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Abstract

The purpose of this study was to investigate the variability to compare local dynamic stability via a linear and nonlinear analysis during walking. Twenty four elderly males, 12 healthy elderly and 12 patients with osteoarthritise walked on a treadmill for 100 consecutive strides. Lyapunov exponent and correlation dimension and coefficient variation were calculated for the kinematic parameters to determine the dynamic stability during walking. The linear measures indicated that the healthy elderly demonstrated significantly higher variability in the ankle joint displacement. The nonlinear analysis revealed that COD for the knee joint angle were higher in patient with osteoarthritise. There were no coincidence in results between linear and nonlinear techniques over two groups. In light of nonlinear analysis, it was concluded that patients with osteoathritise showed higher local instability during walking.

이 연구는 60대 남자 노인의 정상인들과 무릎 관절염 환자들 사이에 보행 시 국부적인 안정성을 비교하기 위해 선형기법의 변이 계수와 비선형 시계열 동역학 기법의 Lyapunov지수(LyE) 및 상관차원(correlation dimension, COD) 방법을 적용해 분석했다. 분석 결과 선형 운동인 발목의 수직 변위를 통해 관찰한 국부적 안정성은 선형 기법의 변이 계수를 통해 관찰한 결과 정상인 집단이 무릎관절염 환자 집단보다 불안한 것으로 나타난 반면에 비선형 기법 관찰에서는 두 집단 차이가 없는 것으로 나타났다. 한편 각형 운동인 무릎의 각 변위를 통해 분석된 국부적 안정성은 선형 분석 결과는 두 집단 차이점을 보이지 않았지만, 비선형 기법 결과인 COD 지수는 무릎 관절염 환자가 크게 나타나 결과적으로 보행 시 국부적 불안을 보였다. 이상 본 연구 결과를 종합해 보면 선형 기법의 결과와 비선형 기법의 결과는 일치하지 않았으며, 또한 무릎 관절염 환자의 보행 시 불안정은 발목의 수직 변위인선형에서 보다 무릎 관절 각 변위인 각형에서 뚜렷하게 나타났다.

Keywords

References

  1. 고영진(2000). 퇴행성 관절염의 병인 및 진단. 대한재활의학회 2000년 추계 학술대회, 3-12.
  2. 류지선(2008).퇴행성 무릎 관절염 환자와 정상인 보행의 관절 충격과 내력 비교. 한국체육학회지.47(1), 435-448.
  3. 류지선(2006a). 노인 보행 시 발과 경골 Coupling 패턴과 Variability. 한국체육학회지, 45(1), 747-756.
  4. 류지선(2006b). 노인보행 시 지면 반력 신호의 주파수 크기와 Variability 비교. 한국체육학회지, 45(5), 457-464.
  5. Buzzi, U.H., Stergiou, N., Kurz, M., Hageman, P.A., & Heidel, J. (2003). Nonlinear dynamics indicates aging affects variability during gait. Clinical Biomechanics, 18, 435-443. https://doi.org/10.1016/S0268-0033(03)00029-9
  6. Dingwell, J.B., & Cusumano, J.P. (2000). Nonlinear time series analysis of normal and pathological human walking. Chaos, 10(4), 848-863. https://doi.org/10.1063/1.1324008
  7. Dingwell, J.B., Cusumano, J.P., Sternad, D., & Cavanagh, P.R. (2000). Slower speeds in patients with diabetic neuropathy lead to improved local dynamics stability of continuous overground walking. Journal of Biomechanics, 3, 1269-1277.
  8. Fraser, A.M. (1986). Using mutual information to estimate metric entropy. In: Mayer-Kress, G.(Ed), Dimensions and Entropies in Chaotic Systems. Springer, Berlin, 82-91.
  9. Goldberger, A., Bhargava, V., West, B., & Mandell, A.J. (1986). Some observations on the question: is ventricular fibrillation "chaos"? Physica, 19, 282-289.
  10. Goldberger, A.L., Rigney, D.R., & Mietus, J. (1998). Nonlinear dynamics in sudden cardiac death syndrome: heart rate oscillations and bifurcations. Experientia, 41, 983-987.
  11. Guimaraes, R.M., & Isaacs, B. (1980). Characteristics of gait in old people who fall. Int. Rehabilitation Medicine, 2, 177-180.
  12. Hausdorff, J.M., Mitchell, S.L., Firtion, R., Peng, C.K., Cudkowicz, M.E. Wei, J.Y., & Goldberger, A. L. (1997). Alterred fractal dynamics of gait: Reduced stride interval correlations with aging and Huntington's disease. Jounal Applied. Physioloyl, 82(1), 262-269.
  13. Hausdorff, J.M., Rios D.A., & Edeberg, H.K. (2001). Gait variability and fall risk in community-living older adults: a 1-year prospective study. Arch Physic Medicine Rehabilitation, 82, 1050-1056. https://doi.org/10.1053/apmr.2001.24893
  14. Heiderscheit, B.C., Hamill, J., & Van Emmerik, R.E. A. (2002). Variability of stride characteristics and joint coordination among individuals with unilateral patellofemoral pain. Journal of Applied Biomechanics, 18, 110-121.
  15. Jeng, S.F., Liao, H.F., Lai, J.S., & Hou, J.W. (1997). Optimization of walking in children. Medicine Science Sports Exercise, 29, 370-376. https://doi.org/10.1097/00005768-199703000-00012
  16. Kantz, H., & Schreiber, S. (1997). Nonlinear time series analysis. Cambrige University Press, Cambridge, UK.
  17. Kaufman, K.R., Hughes,C., Morrey, B.F., Morrey, M., & An, K.(2001). Gait characteristics of patients with knee osteoarthritis. Jounal. of Biomechanics, 34, 907-915. https://doi.org/10.1016/S0021-9290(01)00036-7
  18. Kennel, M.B., Brown, R., & Abarbanel. (1992). Determining minimum embedding dimension using a geometrical construction. Physics. Review, A45, 3403-3411.
  19. Maki, B.E. (1997). Gait changes in older adults:predictors of falls or indicators of fear? Journal of the American Geriatric Society, 45, 313-320.
  20. Pool, R. (1989). Is it healthy to be chaotic? Science, 243, 604-607. https://doi.org/10.1126/science.2916117
  21. Sauer, T., Yorke, J.A., & Casdagli, M. (1991). Embedology. Journal of Statistical Physics, 65(3/4), 579-616. https://doi.org/10.1007/BF01053745
  22. Schnitzer, T.J., & Popovich, J.M. (1993). Effect of piroxicam on gait in patients with osteoarthritis of the knee. Arthritis and Rheumatism, 36(9), 1207-1213. https://doi.org/10.1002/art.1780360905
  23. Sharma,L., & Hurwitz, D.E. (1998). Knee adduction moment, serum hyaluronan level, and disease severity in medial tibiofemoral osteoarthritis. Athritis and Reumatism, 41(7), 1233-1240. https://doi.org/10.1002/1529-0131(199807)41:7<1233::AID-ART14>3.0.CO;2-L
  24. Stauffer, R.N., & Chao, E.Y.S. (1997). Biomechanical gait analysis of the diseased knee joint. Clinical Orthopedics and Related Research, 126, 246-255.
  25. Stergiou, N.(2004). Innovative analyses of human movement, Human Kinetics, 73-76.
  26. Takens, F. (1981). Detecting strange attractors in turbulence. In: Rand, D., Young, L.S.(Eds.), Dynamical systems and Turbulence, Warwick(1980). Springer, Berlin V. 898, 366-381.
  27. Wolf, A., Swift, J.B., Swinny, H.L., & Vastano, J.A. (1985). Determining Lyapunov exponents from a time series. Physica, 16, 285-317.

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