Title :
Bi-planar postural stability model: Fitting model parameters to patient data automatically
Author :
Sovol, Andrew W. ; Valles, Karla D Bustamante ; Riedel, Susan A. ; Harris, Gerald F.
Author_Institution :
Dept. of Biomed. Eng., Marquette Univ., Milwaukee, WI, USA
fDate :
Aug. 31 2010-Sept. 4 2010
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.
Keywords :
biomechanics; medical disorders; neurophysiology; physiological models; biplanar postural stability model; cerebral palsy; idiopathic scoliosis; model parameters fitting; postural control; postural imbalance; Computational modeling; Data models; Mathematical model; Measurement; Pediatrics; Simulation; Stability analysis; biomechanics; diplegic cerebral palsy; model; postural stability; sway metrics; Algorithms; Automation; Cerebral Palsy; Humans; Models, Theoretical; Posture;
Conference_Titel :
Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
Conference_Location :
Buenos Aires
Print_ISBN :
978-1-4244-4123-5
DOI :
10.1109/IEMBS.2010.5627989