Automatic detection of gait events using kinematic data

Gait and Posture

Volumn 25, Issue 3, 2007, Pages 469-474

  O'Connor, Ciara M ^a   Thorpe, Susannah K ^b,c   O'Malley, Mark J ^a   Vaughan, Christopher L ^a,c  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

^b UNIVERSITY OF BIRMINGHAM   (United Kingdom)

^c UNIVERSITY OF CAPE TOWN   (South Africa)

Author keywords

Algorithm; Gait events; Heel strike; Toe off; Walking

Indexed keywords

ADOLESCENT; ALGORITHM; ARTICLE; BIOMECHANICS; CASE REPORT; CHILD; FEMALE; GAIT; HUMAN; INSTRUMENTATION; KINEMATICS; MALE; MOTION ANALYSIS SYSTEM; NORMAL HUMAN; PARALYSIS; PRIORITY JOURNAL; SPASTICITY; WALKING;

ADOLESCENT; ALGORITHMS; BIOMECHANICS; CASE-CONTROL STUDIES; CEREBRAL PALSY; CHILD; CHILD, PRESCHOOL; DATA COLLECTION; FEMALE; FOOT; GAIT; HUMANS; MALE;

EID: 33846998637     PISSN: 09666362     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.gaitpost.2006.05.016     Document Type: Article

References (18)

1. Hansen A.H., Childress D.S., and Meier M.R. A simple method for determination of gait events. J Biomech 35 (2002) 135-138
2. Kyriazis V., and Rigas C. A cheap telemetric system for analyzing gait. Hum Mov Sci 20 (2001) 867-874
3. Skelly M.M., and Chizeck H.J. Real-time gait event detection for paraplegic FES walking. IEEE Trans Neural Syst Rehabil Eng 9 (2001) 59-68
4. Chau T., and Rizvi S. Automatic stride interval extraction from long, highly variable and noisy gait timing signals. Hum Mov Sci 21 (2002) 495-514
5. Nilsson J., Stokes V.P., and Thorstensson A. A new method to measure foot contact. J Biomech 18 (1985) 625-627
6. Mansfield A., and Lyons G.M. The use of accelerometry to detect heel contact events for use as a sensor in FES assisted walking. Med Eng Phys 25 (2003) 879-885
7. Auvinet B., Gloria E., Renault G., and Barrey E. Runner's stride analysis: comparison of kinematic and kinetic analyses under field conditions. Sci Sports 17 (2002) 92-94
8. Aminian K., Najafi B., Bula C., Leyvraz P.F., and Robert P. Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes. J Biomech 35 (2002) 689-699
9. Mickelborough J., van der Linden M.L., Richards J., and Ennos A.R. Validity and reliability of a kinematic protocol for determining foot contact events. Gait Posture 11 (2000) 32-37
10. Ghoussayni S., Stevens C., Durham S., and Ewins D. Assessment and validation of a simple automated method for the detection of gait events and intervals. Gait Posture 20 (2004) 266-272
11. Karcnik T. Using motion analysis data for foot-floor contact detection. Med Biol Eng Comput 41 (2003) 509-512
12. Stanhope S.J., Kepple T.M., McGuire D.A., and Roman N.L. Kinematic-based technique for event time determination during gait. Med Biol Eng Comput 28 (1990) 355-360
13. Hreljac A., and Marshall R.N. Algorithms to determine event timing during normal walking using kinematic data. J Biomech 33 (2000) 783-786
14. Wells R.P., and Winter D.A. Assessment of signal and noise in the kinematics of normal, pathological, and sporting gaits. Proceedings of the special conference of the Canadian Society of Biomechanics. University of Western Ontario, London, Ontario, Canada (1980) 92-93
15. Tirosh O., and Sparrow W.A.T. Identifying heel contact and toe-off using forceplate thresholds with a range of digital-filter cutoff frequencies. J Appl Biomech 19 (2003) 178-184
16. Giakas G., and Baltzopoulos V. A comparison of automatic filtering techniques applied to biomechanical walking data. J Biomech 30 (1997) 847-850
17. Vaughan C.L., Davis B.L., and O'Connor J.C. Gait Analysis Laboratory, a Windows 98/NT software package with a large database of gait data (1999), Kiboho Publishers, Cape Town, South Africa. 0 620 23560 8
18. R Development Core Team. R: a language and environment for statistical computing (2005), R Foundation for Statistical Computing, Vienna, Austria. 3-900051-07-0. http://www.R-project.org/