Journal of Biomedical Engineering Research (대한의용생체공학회:의공학회지)

The Korean Society of Medical and Biological Engineering (대한의용생체공학회)
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Development of a Novel Step Detection Algorithm for Gait Evaluation of Patients with Hemiplegia Based on Trunk Accelerometer

뇌졸중으로 인한 편마비 환자의 보행평가를 위한 체중심 가속도센서 기반의 새로운 보 검출 알고리즘 개발

  • Lee, Hyo-Ki (Department of Biomedical Engineering, Yonsei University) ;
  • Hwang, Sung-Jae (Department of Biomedical Engineering, Yonsei University) ;
  • Cho, Sung-Pil (Department of Biomedical Engineering, Yonsei University) ;
  • Lee, Dong-Ryul (Department of Physical Medicine and Rehabilitation, Wonju City Medical Center) ;
  • You, Sung-Hyun (Department of Physical Therapy, Yonsei University) ;
  • Lee, Kyoung-Joung (Department of Biomedical Engineering, Yonsei University) ;
  • Kim, Young-Ho (Department of Biomedical Engineering, Yonsei University) ;
  • Chung, Ha-Joong (Intelligent IT System Research Center, Korea Electronic Technology Institute)
  • 이효기 (연세대학교 의공학과) ;
  • 황성재 (연세대학교 의공학과) ;
  • 조성필 (연세대학교 의공학과) ;
  • 이동률 (지방공사 원주의료원 재활치료센터) ;
  • 유승현 (연세대학교 물리치료학과) ;
  • 이경중 (연세대학교 의공학과) ;
  • 김영호 (연세대학교 의공학과) ;
  • 정하중 (전자부품연구원 지능형정보연구센터)
  • Published : 2009.06.30
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Abstract

In this study, we have developed a novel step detection algorithm for gait evaluation of patients with hemiplegia based on trunk accelerometry device. For this, we have used a bandpass filter and a least square acceleration (LSA) filter which is characterized by emphasizing the peak or valley point of the acceleration signals for each 3-axis accelerometer signals. To evaluate the algorithm, the detected steps by developed algorithm and real steps by the motion analysis system were compared. As a result, we could obtain the sensitivity of 96.44%, the specificity of 99.94% and the accuracy of 99.90% for the patients' data sets and the sensitivity of 100%, the specificity of 99.93% and the accuracy of 99.93% for the normal data sets. In conclusion, the developed algorithm is useful for the step detection for patients with hemiplegia as well as normal subjects.

Keywords

References

  1. Korean Stroke Society, http://www.stroke.or.kr
  2. G.V. Smith, K.H. Silver, A.P. Goldberg and R.F. Macko, "Taskoriented exercise improves hamstring strength and spastic reflexes in chronic stroke patients," Stroke, vol. 30, No. 10, pp.2112-2118, October 1999
  3. H.S. Jørgensen, "The Copenhagen Stroke Study Experience," J Stroke Cerebrovasc Dis, vol. 6, No. 1, pp. 5-16, September 1996 https://doi.org/10.1016/S1052-3057(96)80020-6
  4. S. Mulroy, J. Gronley, W. Weiss, C. Newsam and J. Perry, "Use of cluster analysis for gait pattern classification of patients in the early and late recovery phases following stroke," Gait Posture,vol. 18, No. 1, pp. 114-125, August 2003 https://doi.org/10.1016/S0966-6362(02)00165-0
  5. W.Y. Wong, M.S. Wong and K.H. Lo, "Clinical applications of sensors for human posture and movement analysis: A review," Prosthet Orthot Int, vol. 31, No. 1, pp. 62-75, March 2007 https://doi.org/10.1080/03093640600983949
  6. M. Molley, J. Salazar-Torres, C. Kerr, B.C. McDowell and A.P. Cosqrove, "The effects of industry standard averaging and filtering techniques in kinematic gait analysis," Gait Posture, vol. 28, No. 4, pp. 559-562, November 2008 https://doi.org/10.1016/j.gaitpost.2008.03.012
  7. M.J. Mathie, A.C. Coster, N.H. Lovell and B.G. Celler, "Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement," Physiol Meas, vol. 25, No. 2, pp. R1-R20, April 2004 https://doi.org/10.1088/0967-3334/25/2/R01
  8. R. Moe-Nilssen, "A new method for evaluating motor control in gait under real-life environmental conditions. Part 1: The instrument,"Clin Biomech, vol. 13, No. 4-5, pp. 320-327, June 1998 https://doi.org/10.1016/S0268-0033(98)00089-8
  9. R. Moe-Nilssen, "A new method for evaluating motor control in gait under real-life environmental conditions. Part 2: Gait analysis", Clin Biomech, vol. 13, No. 4-5, pp. 328-335, June 1998 https://doi.org/10.1016/S0268-0033(98)00090-4
  10. M. Henriksen, H. Lund, R. Moe-Nilssen, H. Bliddal and B. Danneskiod-Samsøe, "Test-retest reliability of trunk accelerometric gait analysis," Gait Posture, vol. 19, No. 3, pp. 288-297, June 2004 https://doi.org/10.1016/S0966-6362(03)00069-9
  11. W. Zijstra and A.L. Hof, "Assessment of spatio-temporal gait parameters from trunk accelerations during human walking," Gait Posture, vol. 18, No. 2, pp. 1-10, October 2003 https://doi.org/10.1016/S0966-6362(02)00190-X
  12. W. Zijstra, "Assessment of spatio-temporal parameters during unconstrained walking," Eur J Appl Physiol, vol. 92, No. 1-2, pp. 39-44, June 2004 https://doi.org/10.1007/s00421-004-1041-5
  13. R. Moe-Nilssen, J.L. Helbostad, "Estimation of gait cycle characteristics by trunk accelerometry," J Biomech, vol. 37, No.1, pp. 121-126, January 2004 https://doi.org/10.1016/S0021-9290(03)00233-1
  14. I.P.I. Pappas, M.R. Popovic, T. Keller, V. Dietz and Manfred Morari, "A reliable gait phase detection system," IEEE Trans Neural Syst Rehabil Eng, vol. 9, No. 2, pp. 113-125, June 2001 https://doi.org/10.1109/7333.928571
  15. M.G. Frei, R.L. Davidchack and I. Osorio, "Least squares acceleration filtering for the estimation of signal derivatives and sharpness at extrema," IEEE Trans Biomed Eng, vol. 46, No. 8, pp. 971-977, August 1999 https://doi.org/10.1109/10.775407
  16. M.N. Nyan, F.E. Tay, K.H. Seah and Y.Y. Sitoh, "Classification of gait patterns in the time-frequency domain," J Biomech, vol. 39, No. 14, pp. 2647-2656, October 2006 https://doi.org/10.1016/j.jbiomech.2005.08.014
  17. S.H. Lee, Y.T. Lim and K.J. Lee, "A design of an algorithm for analysis of activity using 3-axis accelerometer," The Transactions of the Korean Institute of Electrical Engineers D, vol. 53,No. 5, pp. 361-367, 2004
  18. 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 Engineers of Korea SC, vol. 41, No. 4, pp. 55-62, 2004
  19. M.K. Holden, K.M. Gill, M.R. Magliozzi, J. Nathan and L. Piehl-Baker, "Clinical gait assessment in the neurologically impaired. Reliability and meaningfulness," Physical Therapy, vol. 64, No. 1, pp. 35-40, 1984