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Predicting kinematic outcome of multi-level surgery in cerebral palsy

Omar A. Galarraga C. 1, 2, 3, 4 Néjib Khouri 2, 5 Vincent Vigneron 3 Bernadette Dorizzi 1, 6, 4 Eric Desailly 2
1 ARMEDIA-SAMOVAR - ARMEDIA
SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
2 Fondation Ellen POIDATZ (Université Nantes Angers Le Mans (UNAM) - Pôle Recherche & Innovation)
3 IBISC - Informatique, Biologie Intégrative et Systèmes Complexes
4 CNRS - Centre National de la Recherche Scientifique
5 CHU Necker - Enfants Malades [AP-HP]
6 SAMOVAR - Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux
Abstract : In order to lessen gait deviations, single-event multilevel surgery (SEMLS) is usually performed on patients with cerebral palsy. The objective of this work is to utilize statistical machine learning techniques to simulate the effect of these combinations of surgical procedures on kinematics. Thereby, it would be possible to predict postoperative gait of children with CP, knowing the preoperative state and the surgical program
Keywords : Cerebral palsy
Document type :
Conference papers
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https://hal.archives-ouvertes.fr/hal-01453117
Contributor : Médiathèque Télécom Sudparis & Institut Mines-Télécom Business School <>
Submitted on : Thursday, February 2, 2017 - 3:46:34 PM
Last modification on : Monday, August 24, 2020 - 4:16:13 PM

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INSTITUT-TELECOM | TELECOM-SUDPARIS | CNRS | UNAM | UNIV-EVRY | IBISC | IBISC-SIBI

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Omar A. Galarraga C., Néjib Khouri, Vincent Vigneron, Bernadette Dorizzi, Eric Desailly. Predicting kinematic outcome of multi-level surgery in cerebral palsy. ESMAC 2016 : the European Society of Movement Analysis for Adults and Children International Congress, Sep 2016, Sevilla, Spain. pp.1 - ⟨10.1016/j.gaitpost.2016.07.069⟩. ⟨hal-01453117⟩

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