DOI QR코드

DOI QR Code

Analysis of Personal Gait Characteristics According to Legs Imbalance Gait

하지 보행 불균형 상태에 따른 개인별 보행 특성 분석

  • Cho, Woo-Hyeong (Dept. of Electronic, Computer Information Engineering, Inha University) ;
  • Kim, Yeon-Wook (Dept. of Electronic, Computer Information Engineering, Inha University) ;
  • Kwon, Jang-Woo (Dept. of Electronic, Computer Information Engineering, Inha University) ;
  • Lee, Sangmin (Dept. of Electronic, Computer Information Engineering, Inha University)
  • 조우형 (인하대학교 전자공학과, 컴퓨터공학과) ;
  • 김연욱 (인하대학교 전자공학과, 컴퓨터공학과) ;
  • 권장우 (인하대학교 전자공학과, 컴퓨터공학과) ;
  • 이상민 (인하대학교 전자공학과, 컴퓨터공학과)
  • Received : 2016.12.20
  • Accepted : 2017.04.12
  • Published : 2017.05.25

Abstract

In the present study, to determine walking imbalance using the walking analysis method, where limitations in the existing walking analysis have been minimized, we propose a new walking analysis method that adopts the following: self-developed equipment to measure the angles of left-right hip joints and knee joints; a determination system using symmetry index (SI); and dynamic time warping (DTW) similarity analysis algorithm to analyze individual walking styles. Normal and imbalanced walking tests were conducted for 12 subjects without walking disorder. From the SI calculation to determine imbalanced walking, both the normal and imbalanced walking styles can be determined using the angle measurements of the left-right hip joints and knee joints. In the analysis of the individual walking styles, the similarities at the center of the lower back, left-right thighs, and dorsum of the feet of the 12 subjects in both normal and imbalanced walking cases were compared. From the similarity analysis of the measured values during the normal and imbalanced walking tests, I determined that the walking pattern does not maintain the same stance when the body parts move during walking.

본 논문에서는 기존의 보행 분석의 제한점을 개선한 보행분석 방법으로 보행불균형을 판단하기 위해 자체 제작한 좌 우측 고관절, 슬관절의 각도 측정 장비 및 SI 지표를 활용한 판단 시스템과 개인별 보행 상태의 양상을 분석하기 위해 DTW 유사도 분석 알고리즘을 이용한 보행 분석 방법을 제한한다. 실험은 보행 장애가 없는 총 12명의 피험자를 대상으로 정상 보행 및 불균형 보행 실험을 진행하였다. 실험결과 좌 우측 고관절과 슬관절의 각도 측정을 통한 불균형 판단 SI 지수 산출을 통해 정상 보행과 불균형 보행 모두 판단을 할 수 있었다. 개인별 보행특성 분석에서는 실험에 참여한 12명의 피험자를 대상으로 정상보행과 불균형 보행 시 허리 중앙, 좌 우측 허벅지, 발등의 측정 부위에 대한 유사도를 각각 비교하였다. 피험자별 정상 보행 및 불균형 보행 시 측정한 값에 대한 유사도 분석을 통해 보행 동작을 수행하는 동안 항시 같은 패턴의 보행 동작을 유지하는 것이 아니라는 점을 분석 결과 판단할 수 있었다.

Keywords

References

  1. Andriacchi TP, Andersson GB, Fermier RW, et al. "A study of lower-limb mechanics during stair-climbing," J Bone Joint Surg Am. vol. 62, no. 5, pp. 749-757, 1980. https://doi.org/10.2106/00004623-198062050-00008
  2. Perry J. Gait Analysis : Normal and pathological function. New Jersey, Slack Inc. pp. 3-47, 1992.
  3. Nigg, B. M., Biomchanics of Rurring Shoe Champaign. IL : Human Kinetics, 1986.
  4. Snijders AH, Van De Warrenburg BP, Giladi N, Bloem BR. "Neurological gait disorders in elderly people: clinical approach and classification," The Lancet Neurology. vol. 6, no. 1, pp. 63-74, 2007. https://doi.org/10.1016/S1474-4422(06)70678-0
  5. Sudarsky L. "Gait disorders: prevalence, morbidity, and etiology," Advances in Neurology. vol. 87, pp. 111-117, 2001.
  6. Ahn JC, Koo JW and Ihn JC. "Gait analysis after total hip replacement," J Korean Orthop Assoc. vol. 27, pp. 1194-1202, 1992.
  7. Chung CY, Seong SC, Lee MC, Moon YW, Kim TG and Lim ST, "Gait analysis after total knee arthroplasty," J Korean Orthop Assoc. vol. 32, no. 5, pp. 1290-1301, 1997.
  8. Kim YM, Chung CY, Kim HJ, Ahn JH and Park MJ, "Gait analysis of the patients with unilateral avascular necrosis of the femoral head," J Korean Orthop Assoc. vol. 8, pp. 109-122, 1996.
  9. Lee SH, Kim MY, Chang JS, Kim KY, Yoo JY and Ha SB. "Gait analysis in patients with unilateral hip ankylosis," J Korean Orthop Assoc. vol, 11, pp. 215-222, 1999.
  10. Johnson, J. E., Kidder S. M., Abuzzahab F. S., et al. "Three-dimensional Motion Ana1ysis of the Adult Foot and Ankle," Human Motion Analysis, IEEE Press, New York, NY, 1996.
  11. Boo-Hwan Lee, et al., "A Study on the Rehabilitation Training Induction Scheme for Improving the Gait Efficiency of Lower-Limb Amputee," The Institute of Electronics and Information Engineers, pp. 1061-1064, 2016.
  12. Mi-Ran Lee, Jae-Hwan Ryu, Sang-Ho Kim, and Deok-Hwan Kim., "Gait Phase Recognition based on EMG Signal for Stairs Ascending and Stairs Descending," Journal of The Institute of Electronics and Information Engineers, vol. 52, no. 3, March 2015.
  13. J. R. Perttinen, E. Anttila, J. Sodergard, J. Merikanto, and P. V. Komi, "Gait asymmetry in patients with limb length discrepancy," Scandinavian Journal of Medicine and Science in Sports. vol. 14, no. 1, pp. 49-56, 2004. https://doi.org/10.1111/j.1600-0838.2003.00307.x
  14. L. D. Alexander, S. E. Balck, K. K. Patterson, F. Gao, C. J. Dadells, and W. E. McIlroy, "Association Between Gait Asymmetry and Brain Lesion Location in Stroke Patients," Stroke. vol. 40, no. 2, pp. 537-544, 2009. https://doi.org/10.1161/STROKEAHA.108.527374
  15. T. Karaharju-Huisman, S. Taylor, R. Begg, J. Cai, and R. Best, "Gait Symmetry Quantification During Treadmill Walking," Seventh Australian and New Zealand Intelligent Information Systems Conference, Perth, Western Australia. vol. 18, no. 21, pp. 203-206, Nov, 2001.
  16. L. D. Alexander, S. E. Balck, K. K. Patterson, F. Gao, C. J. Dadells, and W. E. McIlroy, "Association Between Gait Asymmetry and Brain Lesion Location in Stroke Patients," Stroke. vol. 40, no. 2, pp. 537-544, 2009. https://doi.org/10.1161/STROKEAHA.108.527374
  17. K. K. Patterson, I. Paraflanowicz, C. J. Danells, V. Closson, M. C. Verrier, W. R. Staines, S. E. Black, 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
  18. Minseok Jang, Seongbae Kong, Rakkyung Ko, Ju Young Chong, Sung-Kwan Joo, "Preliminary Study on Appliance Load Disaggregation Using Dynamic Time Warping Method," The Korean Institute of Electrical Engineers. pp. 45-46, 2015.
  19. Seok-Woo Jang, Moon-Haeng Huh, Gey-Young Kim, "Effective HandwritingVerificationthrough DTW and PCA," Journal of the Korea Society of Computer and Information. vol. 14, no. 7, pp. 25-32, Jul 2009.
  20. Jungik Cho, Yillbyung Lee, "Adult Contents Filtering using Voice Information and DTW," Korean Institute of Intelligent Systems. vol. 18, no. 1, pp. 432-434, April 2008.
  21. Keogh, E. J., & Pazzani, M. J. "Scaling up dynamic time warping to massive dataset," European Conference on Principles of Data Mining and Knowledge Discovery. Springer Berlin Heidelberg. pp. 1-11, 1999.
  22. Rita M. Kiss, "Comparison between kinematic and ground reaction force techniques for determining gait events during treadmill walking at different walking speeds," Medical Engineering & Physics. vol. 32, no. 6, pp. 662-667, 2010. https://doi.org/10.1016/j.medengphy.2010.02.012