title: Bi-planar postural stability model: fitting model parameters to patient data automatically.
abstract: Postural control can be a challenging task for many people, including those with cerebral palsy or idiopathic scoliosis. Assessment of postural stability can be used as one element of a comprehensive strategy to identify more efficient treatments and can provide a better understanding of postural control deficits. Several models and techniques have been developed to assess and understand postural imbalance. This study presents an improvement for an existing model that incorporates two algorithms designed to minimize a cost function.
authors.affiliation: Department of Biomedical Engineering, Marquette University, Milwaukee, WI, USA.
authors.forename: Andrew W
authors.initials: AW
authors.lastname: Sovol
authors.forename: Karla D
authors.initials: KD
authors.lastname: Bustamante Valles
authors.forename: Susan A
authors.initials: SA
authors.lastname: Riedel
authors.forename: Gerald F
authors.initials: GF
authors.lastname: Harris
mesh_terms: D000465:Algorithms; D001331:Automation; D002547:Cerebral Palsy / Q000503:physiopathology; D006801:Humans; D008962:Models, Theoretical; D011187:Posture