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A Study on Gait Imbalance Evaluation System based on Two-axis Angle using Encoder

인코더를 이용한 2축 각도 기반 보행 불균형 평가 시스템 연구

  • Shim, Hyeon-min (Institute for Information and Electronics Research, Inha University) ;
  • Kim, Yoohyun (Department of Electronic Engineering, Inha University) ;
  • Cho, Woo-Hyeong (Department of Electronic Engineering, Inha University) ;
  • Kwon, Jangwoo (Department of Computer Information Engineering, Inha University) ;
  • Lee, Sangmin (Institute for Information and Electronics Research, Inha University)
  • 심현민 (인하대학교 정보전자공동연구소) ;
  • 김유현 (인하대학교 전자공학과) ;
  • 조우형 (인하대학교 전자공학과) ;
  • 권장우 (인하대학교 컴퓨터정보공학과) ;
  • 이상민 (인하대학교 정보전자공동연구소)
  • Received : 2015.02.15
  • Accepted : 2015.03.15
  • Published : 2015.05.01

Abstract

In this study, the gait imbalance evaluation algorithm based on two axes angle using encoder is proposed. This experiment was carried out to experiment with a healthy adult male to 10 people. The device is attached to the hip and knee joint in order to measure the angle during the gait. Normal and imbalance gait angle data were measured using an encoder attached to the hip and knee joints. Also, in order to verify the reliability of estimation of asymmetrical gait using hip and knee angle, it was compared with the result of asymmetrical gait estimation using foot pressure. SI (Symmetry Index) was used as an index for determining the gait imbalance. As a result, normal gait and 1.5cm imbalance gait were evaluation as normal gait through SI using an encoder. And imbalance gait of 3cm, 4cm, and 6cm were judge by imbalance gait. Whereas all gait experiments except normal gait were evaluation as imbalance gait through SI using the pressure. It was possible to determine both the normal gait and imbalance gait through measurement for the angle and the pressure.

Keywords

References

  1. S. J. Kim, Y. H. Kim, H. M. Shim, K. H. Hong, J. W. Kwon, and S. M. Lee, "A pattern classification algorithm based on efficient combination of feature method using electromyogram," The 7th Conference on Rehabilitation Engineering and Assistive Technology Society of Korea 2013, vol. 7, no. 2, pp. 90-91, 2013.
  2. B. O. Kim, "Methods clinical gait analysis," Korean Academy of Rehabilitation Medicine," 18, 191-202, 1944.
  3. S. H. Yune, B. O. Kim, and J. W. Lee, etc "Analysis of normal gait with a 3-dimensional motion analyzer," Korean Academy of Rehabilitation Medicine, 8, 74-81, 1995.
  4. T. R. Han and J. H. Kim, "Polgon goniometer gait analysis using polgon goniometer(1)," Korean Academy of Rehabilitation Medicine, 8, pp. 74-81, 1984.
  5. Andrew L. McDonough et "The validity of the GITRite system's measurement," APMR, 82 419-25,2001.
  6. Blair WF, Bassette G "Preoperative and postoperative gait evaluation in cerevral palsy," APMR, 71, pp. 236-240, 1990.
  7. T. P. Andriacchi, J. A. Ogle, and J. O. Galante, "Walking speed as a basis for nrmal and abnormal gait measurement," J Biomech, vol. 10, no. 4, pp. 261-268, 1977. https://doi.org/10.1016/0021-9290(77)90049-5
  8. T. N. Hung and Y. S. Suh "Step length estimation on a slope using accelerometers and a barometer," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19. no. 4, pp. 334-340, 2013. https://doi.org/10.5302/J.ICROS.2013.12.1818
  9. E. S. Jeong and D. E. Kim, "Estimating human walking pace and direction using vibration signals," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 20, no. 5, pp. 481-485, 2014. https://doi.org/10.5302/J.ICROS.2014.14.9025
  10. L. D. Alexander, S. E. Balck, K. K. Patterson, F. Gao, C. J. Dadells, and W. E. McIlroy, "Association between gait asymmery and brain lesinn location in stroke patients," Stroke, vol. 40, pp. 537-544, 2009. https://doi.org/10.1161/STROKEAHA.108.527374
  11. J. R. Perttinen, E. Anttila, J. Sodergard, J. Merikanto, and P. v. Komi, "Gait asymmetry in patients with limb length discrepany," Scandinavian Journal of Medicine and Sciense in Sports, vol. 14, pp. 49-56, 2004. https://doi.org/10.1111/j.1600-0838.2003.00307.x
  12. T. Karaharju-Hiisman, S. Taylor, R. Begg, J. Cai, and R. Best, "Gait symmetry quantification during treadmill walking," Seventh Australian and New Zealand Intelligent Information System Conference, Perth, Wwstern Australia, 18-21 Nov. pp. 203-206, 2001.
  13. L. D. Alexander, S. E. Black, K. K. Patterson, F. Gao, C. J. Dadells, and W. E. McIlroy," Strok, vol. 40, pp. 537-544, 2009. https://doi.org/10.1161/STROKEAHA.108.527374
  14. K. K. Patterson, I. Paraflanowicz, C. J. Danells, V. Closson, M. C. Verrier, W. R. Staines, S. E. Black, W. E. Black, and W. E. Mcllroy, "Gait asymmetry in community - ambulating stroke survivors," Arch Phys Med Rehabil, vol. 89, no. 2, pp. 304-310, 2008. https://doi.org/10.1016/j.apmr.2007.08.142
  15. Y. H. Kim, H. M. Shim, and S. M. Lee, "Gait imbalance, symmetry index, encoder, thigh angle, gait analysis" The Korean Society of Medical & Biological Engineering, pp. 51, 2014.
  16. S. J. Kim, Y. H. Kim, H. M. Shim, K. S. Yoon, and S. M. Lee, "Gait imbalance evaluation algorithm based on temporal symmetry ratio using encoder," The Korean Society of Medical & Biological Engineering, vol. 35, no. 1, pp. 8-13, 2014.
  17. H. Y. Jang, J. S. Han, and C, S, Han, "Study on gait analysis of elders and hemiplegia patients using 3D motion analysis," Korea Society for Precision Engineering, vol. 29, no. 7, pp. 730-736, 2012. https://doi.org/10.7736/KSPE.2012.29.7.730