전기학회논문지 (The Transactions of The Korean Institute of Electrical Engineers)

  • 제66권11호
  • /
  • Pages.1634-1640
  • /
  • 2017
  • /
  • 1975-8359(pISSN)
  • /
  • 2287-4364(eISSN)
대한전기학회 (The Korean Institute of Electrical Engineers)
권호 표지
DOI QR코드

DOI QR Code

가속도센서를 이용한 편마비성보행 평가

Evaluation of Hemiplegic Gait Using Accelerometer

  • Lee, Jun Seok (Interdisciplinary Program of Biomedical Engineering, Chonnam National University) ;
  • Park, Sooji (Department of Biomedical Engineering, Chonnam National University) ;
  • Shin, Hangsik (Department of Biomedical Engineering, Chonnam National University)
  • 투고 : 2017.09.07
  • 심사 : 2017.10.22
  • 발행 : 2017.11.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

The study aims to distinguish hemiplegic gait and normal gait using simple wearable device and classification algorithm. Thus, we developed a wearable system equipped three axis accelerometer and three axis gyroscope. The developed wearable system was verified by clinical experiment. In experiment, twenty one normal subjects and twenty one patients undergoing stroke treatment were participated. Based on the measured inertial signal, a random forest algorithm was used to classify hemiplegic gait. Four-fold cross validation was applied to ensure the reliability of the results. To select optimal attributes, we applied the forward search algorithm with 10 times of repetition, then selected five most frequently attributes were chosen as a final attribute. The results of this study showed that 95.2% of accuracy in hemiplegic gait and normal gait classification and 77.4% of accuracy in hemiplegic-side and normal gait classification.

키워드

참고문헌

  1. G. Verheyden, L. Vereeck, S. Truijen, M. Troch, I. Herregodts, C. Lafosse and W. De Weerdt, "Trunk performance after stroke and the relationship with balance, gait and functional ability," Clinical Rehabilitation, vol. 20, No. 5, pp. 451-458, 2006. https://doi.org/10.1191/0269215505cr955oa
  2. M. C. Kosak, M. J. Reding, "Comparison of partial body weight-supported treadmill gait training versus aggressive bracing assisted walking post stroke," Neurorehabilitation and Neural Repair, vol. 14, No. 1, pp. 13-19, 2000. https://doi.org/10.1177/154596830001400102
  3. J. Perry and J. M. Burnfield, Gait Analysis:Normal and pathological Function, 2nd Edition, SLACK Incorporated, 2010.
  4. T. Paternostro-Sluga, M. Grim-Stieger, M. Posch, O. Schuhfried, G. Vacariu, C. Mittermaier and V. Fialka- Moser, "Reliability and validity of the Medical Research Council (MRC) scale and a modified scale for testing muscle strength in patients with radial palsy," Journal of Rehabilitation Medicine, vol. 40, No. 8, pp. 665-671, 2008. https://doi.org/10.2340/16501977-0235
  5. H. Hislop, D. Avers and M. Brown, "Daniels and Worthingham's muscle testing: Techniques of manual examination and performance testing," Elsevier Health Sciences, 2013.
  6. K. H. Yang, S. H. An, C. S. Park, Y. S. Jang, B. M. Cho and Y. I. Shin, "Validity and Reliability of Himiplegic Motor Behavior Test for Stroke Patients," The Journal of Korean Society of Occupational Therapy, vol. 15, No. 2, pp. 55-65, 2007.
  7. R. W. Bohannon and M. B. Smith, "Interrater reliability of a modified Ashworth scale of muscle spasticity," Physical Therapy, vol. 67, No. 2, pp. 206-207, 1987. https://doi.org/10.1093/ptj/67.2.206
  8. QUALISYS, FORCE PLATES, http://www.qualisys.com/integrations/force-plates/
  9. Robotics Laboratory, (2012), Research Topic: Quantitative Biomech anical Analysis of Biped Locomotion - Capture of Human Motion, http://www.pupin.rs/RnDProfile/ research-topic13.html
  10. M. F. Ng, R. K. Tong and L. S. Li, "A pilot study ofrandomized clinical controlled trial of gait training insubacute stroke patients with partial body-weightsupport electromechanical gait trainer and functionalelectrical stimulation: six-month follow-up," Stroke,vol. 39, No. 1, pp. 154-160, 2008. https://doi.org/10.1161/STROKEAHA.107.495705
  11. M. Sekine, Y. Abe, M. Sekimoto, Y. Higashi, T. Fujimoto, T. Tamura, and Y. Fukui, "Assessment of gait parameter in hemiplegic patients by accelerometry," Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE, vol. 22, No. 3, pp. 1879-1882, 2000.
  12. B. Auvinet, G. Berrut, C. Touzard, L. Moutel, N. Collet, D. Chaleil and E. Barrey, "Reference data for normal subjects obtained with an accelerometric device," Gait & Posture, vol. 16, No. 2, pp. 124-134, 2002. https://doi.org/10.1016/S0966-6362(01)00203-X
  13. J. Y. Lee, K. J. Lee, Y. H. Kim, S. H. Lee and S. W. Park, "Development of Gait Analysis Algorithm for Hemiplegic Patients based on Accelerometry," Journal of the Institute of Electronics and Information Engineers, vol. 41, No. 4, pp. 231-240, 2004.
  14. R. Moe-Nilssen, "A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument," Clinical Biomechanics, vol. 13, No. 4-5, pp. 320-327, 1998. https://doi.org/10.1016/S0268-0033(98)00089-8
  15. M. P. Murray, R. C. Kory and B. H. Clarkson, "Walking patterns in healthy old men," Journal of Gerontology, vol. 24, No. 2, pp. 169-178, 1969 https://doi.org/10.1093/geronj/24.2.169
  16. M. Fishman, F. J. Jacono, S. Park, R. Jamasebi, A. Thungtong, K. A. Loparo and T. E. Dick, "A method for analyzing temporal patterns of variability of a time series from Poincare plots," Journal of Applied Physiology, vol. 113, No. 2, pp. 297-306, 2012. https://doi.org/10.1152/japplphysiol.01377.2010
  17. L. Brieman, "Random forests, Machine learning," vol. 45, No. 1, pp. 5-32, 2001. https://doi.org/10.1023/A:1010933404324
  18. R. O. Duda, P. E. Hart, and D. G. Stork, "Pattern Classification," 2nd edition, Wiley, 2002.
  19. K. K. Patterson, W. H. Gage, D. Brooks, S. E. Black and W. E. McIlroy, "Evaluation of gait symmetry after stroke: a comparison of current methods and recommendations for standardization," Gait & Posture, vol. 31, No. 2, pp. 241-246, 2010. https://doi.org/10.1016/j.gaitpost.2009.10.014
  20. S. Moore, K. Schurr, A. Wales, A. Moseley and R. Herbert, "Observation and analysis of hemiplegic gait: swing phase," Australian Journal of Physiotherapy, vol. 39, No. 4, pp. 271-278, 1993. https://doi.org/10.1016/S0004-9514(14)60487-6
  21. S. J. Olney and C. Richards, "Hemiparetic gait following stroke. Part I: Characteristics," Gait & Posture, vol. 4, No. 2, pp. 136-148, 1996. https://doi.org/10.1016/0966-6362(96)01063-6
  22. X. Chen, S. Liao, S. Cao, D. Wu, and X. Zhang, "An Acceleration-Based Gait Assessment Method for Children with Cerebral Palsy," Sensors, vol. 17, No. 5, pp. 1002, 2017. https://doi.org/10.3390/s17051002