Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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Development and Evaluation of a New Gait Phase Detection System using FSR Sensors and a Gyrosensor

저항센서와자이로센서를이용한새로운보행주기검출시스템의개발및평가

  • 안승찬 (연세대학교 대학원 의공학과) ;
  • 황성재 (연세대학교 대학원 의공학과) ;
  • 강성재 (연세대학교 대학원 의공학과) ;
  • 김영호 (연세대학교 의공학부)
  • Published : 2004.10.01
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Abstract

In this study, a new gait phase detection system using both FSR(Force Sensing Resister) sensors and a gyrosensor was developed to detect various gait patterns. FSR sensors were put in self-designed shoe insoles and a gyrosensor was attached to the posterior aspect of a shoe. An algorithm was also developed to determine eight different gait transitions among four gait phases: heel-strike, foot-flat, heel-off and swing. The developed system was compared with the conventional gait phase detection system using only FSR sensors in various gait experiments such as level walking, fore-foot walking and stair walking. In fore-foot walking and stair walking, the developed system showed much better accuracy and reliability to detect gait phases. The developed gait phase detection system using both FSR sensors and a gyrosensor will be helpful not only to determine pathological gait phases but to apply prosthetics, orthotics and functional electrical stimulation to patients with gait disorders.

Keywords

References

  1. Vodovnik, L., Kralj, A., Stanic, U., Acimovic, R. and Gros, N., 'Recent application of functional electrical stimulation to stroke patients in Ljubljana,' Clin, Orthopaed., Vol. 131, pp.64-70, 1978
  2. Ott, E., Munih, M., Benko, H. and Kralj, A., 'Comparison of foot-switch and hand switch triggered FES correction of foot drop,' in Proc. 6th Vienna Int. Workshop FES, pp.22-24, 1998
  3. Popovic, M. R., Keller, T., Pappas, I. P. I., Dietz, V. and Morari, M., 'Surface-stimulation technology or grasping and walking neuroprostheses,' IEEE Eng. Med. Biol. Mag., Vol. 20, pp.82-93, 2001 https://doi.org/10.1109/51.897831
  4. Kang, S. J. and Kim, Y. H., 'Gait improvement of polio patients using an electromechanical KAFO,' Journal of the Korean Society of Precision Engineering, Vol. 20, No. 1, pp.39-46, 2003
  5. Ng, S. K. and Chizeck, H. J., 'Fuzzy model identification for classification of gait events in paraplegics,' IEEE Trans. Fuzzy Syst., Vol. 5, pp.536-544, 1977 https://doi.org/10.1109/91.649904
  6. Kostov, A., Andrews, B. J., Popovic, D. B., Stein, R. B. and Armstrong, W., 'Machine learning in control of functional electrical stimulation systems for locomotion,' IEEE Trans. Biomed. Eng., Vol. 42, pp.541-551, 1995 https://doi.org/10.1109/10.387193
  7. Tong, K. and Grant, H. M., 'A practical gait analysis system using gyroscope,' Med, Eng. Phys., Vol. 21, pp.87-94, 1999 https://doi.org/10.1016/S1350-4533(99)00030-2
  8. Willemsen, A., Bloemhof, F. and Boom, H., 'Automatic stance-swing phase detection from accelerometer data for peroneal nerve stimulation,' IEEE Trans. Biomed. Eng., Vol. 37, pp.1201-1208, 1990 https://doi.org/10.1109/10.64463
  9. Williamson, R. and Andrews, B. J., 'Gait event detection for FES using accelerometers and supervised machine learning,' IEEE Trans. Rehab. Eng. Vol. 8, pp.312-319, 2000 https://doi.org/10.1109/86.867873
  10. Dai, R., Stein, R. B., Andrews, B. J., James, K. B. and Wieler, M., 'Application of tilt sensors in functional electrical stimulation,' IEEE Trans. Rehab. Eng, Vol. 4, pp.63-72, 1999 https://doi.org/10.1109/86.506403
  11. Lee, K. W. and Kim, Y. H., 'Development of a foot switch system using force sensing resistors,' J. of the Korea Society of Medical and Biological Engineering conference, Seoul, 1999
  12. Lee, K. W., Kang, S. J., Kim, Y. H. and Cho, K. H., 'Development of the automatic knee joint control system for a knee-ankle-foot orthosis using an electromechanical clutch,' J. Biomed. Eng. Res., Vol. 22. No. 4, pp.359-368, 2001
  13. Davis, R. B., Ounpuu, S., Tyburski, D. and Gage, J. R., 'A gait analysis data collection and reduction technique,' Human Movement Sci, Vol. 10, pp.575-587, 1991 https://doi.org/10.1016/0167-9457(91)90046-Z