한국운동역학회지 (Korean Journal of Applied Biomechanics)

  • 제21권4호
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  • Pages.495-501
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  • 2011
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  • 1226-2226(pISSN)
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  • 2093-9752(eISSN)
한국운동역학회 (Korean Society of Applied Biomechanics)
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보행시점 검출을 위한 단일 각속도 센서모듈 시스템

Single Gyroscope Sensor Module System for Gait Event Detection

  • 강동원 (건국대학교 일반대학원 의학공학과) ;
  • 최진승 (건국대학교 일반대학원 의학공학과) ;
  • 김한수 (건국대학교 일반대학원 의학공학과) ;
  • 오호상 (건국대학교 일반대학원 의학공학과) ;
  • 서정우 (건국대학교 일반대학원 의학공학과) ;
  • 탁계래 (건국대학교 의료생명대학 의학공학부)
  • Kang, Dong-Won (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Choi, Jin-Seung (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Kim, Han-Su (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Oh, Ho-Sang (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Seo, Jeong-Woo (Department of Biomedical Engineering, Graduate School of Konkuk University) ;
  • Tack, Gye-Rae (Department of Biomedical Engineering, College of Biomedical & Health Science, Konkuk University)
  • 투고 : 2011.09.30
  • 심사 : 2011.12.14
  • 발행 : 2011.12.31
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초록

The purpose of this study was to develop the inertial sensor module system to detect gait event using single angular rate sensor(gyroscope), and evaluate the accuracy of this system. This sensor module is attached at the heel and gait events such as heel strike, foot flat, heel off, toe off are detected by using proposed automatic event detection algorithm. The developed algorithm detect characteristics of pitch data of the gyroscope to find gait event. To evaluate the accuracy of system, 3D motion capture system was used and synchronized with sensor module system for comparison of gait event timings. In experiment, 6 subjects performed 5 trials level walking with 3 different conditions such as slow, preferred and fast. Results showed that gait event timings by sensor module system are similar to that by kinematic data, because maximum absolute errors were under 37.4msec regardless of gait velocity. Therefore, this system can be used to detect gait events. Although this system has advantages of small, light weight, long-term monitoring and high accuracy, it is necessary to improve the system to get other gait information such as gait velocity, stride length, step width and joint angles.

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참고문헌

  1. Aminian, K., Najafi, B., Bula, C., Lezvraz, P. F. & Robert, P.(2002). Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. Journal of Biomechanics, 35, 689-699. https://doi.org/10.1016/S0021-9290(02)00008-8
  2. Bamberg, S. J. M., Benbasat, A. Y., Scarborough, D. M., Krebs, D. E. & Paradiso, J. A.(2008). Gait Analysis Using a Shoe-Integrated Wireless Sensor System. IEEE Transactions on Information Technology in Biomedicine, 12(4), 413-423. https://doi.org/10.1109/TITB.2007.899493
  3. Choi, J. S., Kang, D. W., Mun, K. R., Bang, Y. H. & Tack, G. R.(2009). Development of Gait Event Detection Algorithm using an Accelerometer. Korean Journal of Sport Biomechanics, 19(1), 159-166. https://doi.org/10.5103/KJSB.2009.19.1.159
  4. Corazza, S., Mundermann, L., Chaudhari, A. M., Demattio, T., Cobelli, C. & Andriacchi, T. P.(2006). A markerless motion capture system to study musculoskeletal biomechanics: visual hull and simulated annealing approach. Annals of Biomedical Engineering, 34(6), 1019-1029. https://doi.org/10.1007/s10439-006-9122-8
  5. Eun, S. D., & Lee, K. K.(2004). The effect of the speed conditions on the gait pattern in treadmill walking of elderly persons. The Korean Journal of Physical Education, 43(5), 397-404.
  6. Hausdorff, J. M.(2005). Gait variability: methods, modelling and meaning. Journal of Neuro Engineering & Rehabilitation, 2(19).
  7. Hausdorff, J. M.(2009). Gait dynamics in Parkinson's disease: Common and distinct behavior among stride length, gait variability, and fractal-like scaling, Chaos: An Interdisciplinary Journal of Nonlinear Science, 19(2), 026113. https://doi.org/10.1063/1.3147408
  8. Jasiewicz, J. M., Allum, J. H. J., Middleton, J. W., Barriskill, A., Condie, P., Purcell B. & Li, R. C. T.(2006). Gait event detection using linear accelerometers or angular velocity transducers in able-bodied and spinal-cord injured individuals. Gait & Posture, 24(4), 502-509. https://doi.org/10.1016/j.gaitpost.2005.12.017
  9. Kotiadis, D., Hermens, H. J. & Veltink, P. H.(2010). Inertial Gait Phase Detection for control of a drop foot stimulator Inertial sensing for gait phase detection. Medical Engineering & Physics, 32(4), 287-297. https://doi.org/10.1016/j.medengphy.2009.10.014
  10. Lyons, G. M., Sinkjaer, T., Burridge, J. H. & Wilcox, D. J.(2002). A review of portable FES-based neural orthosis for the correction of drop foot. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 10, 260-279. https://doi.org/10.1109/TNSRE.2002.806832
  11. Murata Manufacturing co., ltd,(2006). Piezoelectric Vibrating Gyroscopes, .
  12. O'Connor, C. M., Thorpe, S. K., O'Malley, M. J. & Vaughan, C. L.(2007). Automatic detection of gait events using kinematic data. Gait & Posture, 25(3). 469-474. https://doi.org/10.1016/j.gaitpost.2006.05.016
  13. Pappas, I. P., Popovic, M. R., Keller, T., Dietz, V., & Morari, M.(2001). A reliable gait phase detection system. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 9(2), 113-125. https://doi.org/10.1109/7333.928571
  14. Parvataneni, K., Ploeg, L., Olney, S. J. & Brouwer, B.(2009). Kinematic, kinetic and metabolic parameters of treadmill versus overground walking in healthy oder adults. Clinical Biomechanics, 24, 95-100. https://doi.org/10.1016/j.clinbiomech.2008.07.002
  15. Perry, J.(1992). Gait Analysis: Normal and Pathological Function. Thorofare, NJ, SLACK, Inc.
  16. Ruterbories, J., Spaich, E. G., Larsen, B., & Anderson, O. K.(2010). Methods for gait event detection and analysis in ambulatory systems. Medical Engineering & Physics, 32(6), 545-552. https://doi.org/10.1016/j.medengphy.2010.03.007
  17. Skelly, M. M., & Chizeck, H. J.(2001). Real-time gait event detection for paraplegic FES walking. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 9(1), 59-68. https://doi.org/10.1109/7333.918277
  18. Watt, J. R., Franz, J. R., Jackson, K., Dicharry, J., Riley, P. O. & Kerrigan, D. C.(2010). A three-dimensional kinematic and kinetic comparison of overground and treadmill walking in healthy elderly subjects. Clinical Biomechanics, 25, 444-449. https://doi.org/10.1016/j.clinbiomech.2009.09.002
  19. West, B. J., & Griffin, L. A.(2004). Biodynamics : Why the Wrewalker Doesn't Fall. A John Wiley & Sons, Inc.
  20. Winter, D. A.(2005). Biomechanics and Motor Control of Human Movement(3rd edition). New York, John Wiley & Sons, Inc.

피인용 문헌

  1. A Portable Diagnostic and Treatment System of Abnormal Gait Using Acceleration and Gyroscope Signal vol.522-524, pp.1662-7482, 2014, https://doi.org/10.4028/www.scientific.net/AMM.522-524.1133