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Authors: Omar A. Galarraga C. 1 ; Vincent Vigneron 2 ; Bernadette Dorizzi 3 ; Néjib Khouri 4 and Eric Desailly 5

Affiliations: 1 Fondation Ellen Poidatz and Université d'Evry Val d'Essonne, France ; 2 Université d'Evry Val d'Essonne, France ; 3 Institut Mines-Télécom and Télécom SudParis, France ; 4 Fondation Ellen Poidatz and Hôpital Universitaire Necker-Enfants malades, France ; 5 Fondation Ellen Poidatz, France

ISBN: 978-989-758-077-2

Keyword(s): Clinical Gait Analysis, Nonlinear Data Fitting, Neural Networks, Cerebral Palsy, Biomechanics.

Related Ontology Subjects/Areas/Topics: Applications ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Economics, Business and Forecasting Applications ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Imaging ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Regression ; Sensor Networks ; Signal Processing ; Soft Computing ; Software Engineering ; Theory and Methods

Abstract: Cerebral Palsy affects walking and often produces excessive knee flexion at initial contact (KFIC). Hamstring lengthening surgery (HL) is applied to decrease KFIC. The objective of this work is to design a simulator of the effect of HL on KFIC that could be used as a decision-making tool. The postoperative KFIC is estimated given the preoperative gait, physical examination and the type of surgery. Nonlinear data fitting is performed by feedforward neural networks. The mean regression error on test is 9.25 degrees and 63.21% of subjects are estimated within an error range of 10 degrees. The simulator is able to give good estimations independently of the preoperative gait parameters and the type of surgery. This system predicts the outcomes of orthopaedic surgery on CP children with real gait parameters, and not with qualitative characteristics.

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Paper citation in several formats:
Galarraga C., O.; Galarraga C., O.; Vigneron, V.; Vigneron, V.; Dorizzi, B.; Dorizzi, B.; Khouri, N. and Desailly, E. (2015). Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks.In Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM, ISBN 978-989-758-077-2, pages 338-342. DOI: 10.5220/0005286503380342

@conference{icpram15,
author={Omar A. Galarraga C.. and Omar A. Galarraga C.. and Vincent Vigneron. and Vincent Vigneron. and Bernadette Dorizzi. and Bernadette Dorizzi. and Néjib Khouri. and Eric Desailly.},
title={Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks},
booktitle={Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,},
year={2015},
pages={338-342},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005286503380342},
isbn={978-989-758-077-2},
}

TY - CONF

JO - Proceedings of the International Conference on Pattern Recognition Applications and Methods - Volume 2: ICPRAM,
TI - Estimation of Postoperative Knee Flexion at Initial Contact of Cerebral Palsy Children using Neural Networks
SN - 978-989-758-077-2
AU - Galarraga C., O.
AU - Galarraga C., O.
AU - Vigneron, V.
AU - Vigneron, V.
AU - Dorizzi, B.
AU - Dorizzi, B.
AU - Khouri, N.
AU - Desailly, E.
PY - 2015
SP - 338
EP - 342
DO - 10.5220/0005286503380342

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