Detecting idiopathic toe-walking gait pattern from normal gait pattern using heel accelerometry data and Support Vector Machines

Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology"

Volumn , Issue , 2008, Pages 4920-4923

  Pendharkar, Gita ^a   Lai, Daniel T H ^b   Begg, Rezaul K ^b  

^a MONASH UNIVERSITY   (Australia)

^b VICTORIA UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ACCELEROMETERS; GAIT ANALYSIS; NEUROLOGY;

ACCELEROMETRY; CEREBRAL PALSY; FEATURE SELECTION ALGORITHM; MAXIMUM ACCURACIES; NEUROLOGICAL PROBLEMS; NEUROLOGICAL SYMPTOMS; QUANTITATIVE DESCRIPTION; SPORT PERFORMANCE;

SUPPORT VECTOR MACHINES;

ACCELERATION; AMBULATORY MONITORING; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CHILD; COMPUTER ASSISTED DIAGNOSIS; FEMALE; GAIT; HEEL; HUMAN; MALE; METHODOLOGY; NEUROLOGIC GAIT DISORDER; PATHOPHYSIOLOGY; PRESCHOOL CHILD; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ACCELERATION; ARTIFICIAL INTELLIGENCE; CHILD; CHILD, PRESCHOOL; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; GAIT; GAIT DISORDERS, NEUROLOGIC; HEEL; HUMANS; MALE; MONITORING, AMBULATORY; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 61949389033     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/iembs.2008.4650317     Document Type: Conference Paper

References (14)

1. S. Armand, E. Watelain, "Linking Clinical measurements and kinematics gait patterns of toe walking using fuzzy decision trees", Gait and Posture, 25 (3):p. 475-484, March 2007.
2. C. Alvarez, etal, "Classification of Idiopathic toe-walking based on gait analysis: Development and application of ITW severity classification" , Gait and Posture, 26(3): p. 428-435, September 2007.
3. T. Wren, "Gastrocnemiussoleus lengths in cerebral palsy equinus gaitdifferences between children with and without static contracture and effects of gastrocnemius recession" Journal of Biomechanics, 37(9): p. 1321-7, 2004.
4. Book-M. Palaniswami and R. Begg (2006, 03, 30). Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques, ISBN 1591408377, Available: http://www.idea-group.com
5. G. Pendharkar, D. Morgan, and P. Percival. "Distinguishing Toe-Walking Gait using accelerometer in Idiopathic Toe-Walking (ITW) children" 3rd International Conference on Biomechanics of the lower limb in health disease and rehabilitation. 2005. Manchester.
6. A.T. M. Willemsen, etal, "Real-Time Gait Assessment Utilizing a New Way of Accelerometry" Journal of Biomechanics, 23(8): p. 859-863, 1990.
7. A. J. Padgaonkar, K. W. Krieger, and A.I.King, "Measurement of angular acceleration of a rigid body using linear accelerometers" Journal of Applied Mechanics, 1975. 42: p. 552-556
8. R. Moe-Nilssen, "A new method for evaluating motor control in gait under real life environment conditions. Part 2: Gait analysis" Clinical Biomechanics, 13: p. 328-335, 1998.
9. R. Moe-Nilssen, and J. L. Helbostad, "Estimation of gait cycle characteristics by trunk accelerometry" Journal of Biomechanics, 37: p. 121-126, 2004.
10. G. Pendharkar, D. Morgan, and P. Percival. "Information processing of the gait signals to determine the number of toe-walking steps from normal steps in Idiopathic Toe-Walking Children" IEEE Proceedings on Intelligent Sensor Sensor Network and Information Processing. 5-8 December 2005, Melbourne.
11. V. N. Vapnik, The nature of statistical learning theory, 2nd ed. New York: Springer, 2000.
12. R. K. Begg, M. Palaniswami, and B. Owen, "Support vector machines for automated gait recognition," IEEE Transactions on Biomedical Engineering, vol. 52 pp. 828-838, 2005.
13. th October 2007.
14. th October 2005.