DOI QR코드

DOI QR Code

Study on Gait Analysis of Elders and Hemiplegia Patients using 3D Motion Analysis

고령자 및 편마비 환자의 3 차원 동작분석을 통한 보행 특성에 관한 연구

  • Received : 2012.04.27
  • Accepted : 2012.05.23
  • Published : 2012.07.01

Abstract

Latest, many researchers do research on wearable robot. The purpose of the researches is very diverse, it will improve efficiency in the industry, taken to replace the many workers in the military field and taken to assist bodily functions run out by aging. However, there is no clear Differentiated strategy depending on the purpose for design and control of the wearable robot. Although a common purpose is to drive the robot by the sensor signal (intent signals), the optimization about the mechanism and control studies must be done according to the user's physical ability and purpose. In this study, the study's first phase for the development of wearable robotic gait rehabilitation, gait characteristics were analyzed elders and hemiplegia patients using a 3D gait analysis system (VICON512). As a result, asymmetric gait characteristics of the hemiplegia patients were found compared with the normal elderly.

Keywords

References

  1. Jang, J. H., Lee, H. D., Jang, H. Y., Han, J. S., Han, C. S., and Shon, W. H., "Development of Wearable Robot System based the Analysis of the Lower Limbs," Journal of the Korean Society for Precision Engineering, Vol. 26, No. 7, pp. 7-14, 2009.
  2. Johansson, B. B., "Brain Plasticity and Stroke Rehabilitation : The Willis Lecture," Stroke, Vol. 31, pp. 223-230, 2000. https://doi.org/10.1161/01.STR.31.1.223
  3. Robertson, I. H. and Murre, J. M., "Rehabilitation of brain damage: Brain plasticity and principles of guided recovery," Psychological Bulletin, Vol. 125, No. 5, pp. 544-575, 1999. https://doi.org/10.1037/0033-2909.125.5.544
  4. Karbe, H., Thiel, A., Weber-Luxenburger, G., Herholz, K., Kessler, J., and Heiss, W.-D., "Brain Plasticity in Poststroke Aphasia: What Is the Contribution of the Right Hemisphere," Brain and Language, Vol. 64, No. 2, pp. 215-230, 1998. https://doi.org/10.1006/brln.1998.1961
  5. Perry, J., "Gait analysis : Normal and Pathological Function, 1st Ed.," Slack Incorporated, 1992.
  6. Neumann, D. A., "Kinesiology of the musculoskeletal system foundations for physical rehabilitation, 1st Ed.," Mosby, 2002.
  7. Kerrigan, D. C., Lee, L. W., Collins, J. J., Riley, P. O., and Lipsitz, L. A., "Reduced Hip Extension During Walking: Healthy Elderly and Fallers Versus Young Adults," Arch. Phys. Med. Rehabil., Vol. 82, No. 1, pp. 26-30, 2001. https://doi.org/10.1053/apmr.2001.18584
  8. Sutherland, D. H., "The evolution of clinical gait analysis : part2 kinematics," Gait & Posture, Vol. 16, No. 2, pp. 159-179, 2002. https://doi.org/10.1016/S0966-6362(02)00004-8
  9. Duffy, C. M., Hill, A. E., Cosgrove, A. P., Corry, I. S., Mollan, R. A. B., and Graham, H. K., "Three dimensional gait analysis in spina bifida," Journal of Pediatric Orthopedics, Vol. 16, No. 6, pp. 786-791, 1996. https://doi.org/10.1097/01241398-199611000-00016
  10. Oberg, T., Karsznia, A., and Oberg, K., "Joint angle parameters in gait: reference data for normal subjects, 10-79 years of age," Journal of Rehabilitation Research and Development," Vol. 31, No. 3, pp. 199- 213, 1994.
  11. Malinzak, R. A., Colby, S. M., Kirkendall, D. T., and Yu, B., "A comparison of knee joint motion patterns between men and women in selected athletic tasks," Clinical Biomechanics, Vol. 16, No. 5, pp. 438-445, 2001. https://doi.org/10.1016/S0268-0033(01)00019-5
  12. Chen, C. L., Wong, M. K., Chen, H. C., Cheng, P. T., and Tang, F. T., "Correlation of Polyelectromyographic Patterns and Clinical Upper Motor Neuron Syndrome in Hemiplegic Stroke Patients," Archives of Physical Medicine and Rehabilitation, Vol. 81, No. 7, pp. 869- 875, 2000. https://doi.org/10.1053/apmr.2000.6284

Cited by

  1. Development of Weight Shifting Training System using Biofeedback for Post-stroke Hemiplegic Patients with Step Length Asymmetry vol.30, pp.4, 2013, https://doi.org/10.7736/KSPE.2013.30.4.450
  2. A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder vol.21, pp.5, 2015, https://doi.org/10.5302/J.ICROS.2015.15.9017