Modelling and analysis of center of pressure data

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dc.contributor.authorWebber, Adam Matthewen_US
dc.date.accessioned2024-08-15T20:13:38Z
dc.date.available2024-08-15T20:13:38Z
dc.date.copyright2003en_US
dc.date.issued2003
dc.degree.departmentDepartment of Mathematics and Statisticsen_US
dc.degree.levelMaster of Science M.Sc.en
dc.description.abstractCenter of Pressure (COP) data has been used in the study of postural control for several decades. This study has usually been limited to basic measures of the COP trajectory, such as velocity. In the last decade, attempts have been made to extract more meaningful physiological parameters through the use of mathematical modelling of the postural control system. Beginning with stabilogram-diffusion analysis and focusing on the Pinned Polymer, Inverted Pendulum and FARIMA models of quiet stance, this thesis reviews some of the attempts get physiological estimates from COP data, and applies the three models to a subject group consisting of Down syndrome and non-Down syndrome individuals. These models have not previously been applied to Down syndrome subjects. The resulting estimates from each model are ex­amined, and the strengths and weaknesses of each are discussed, as well as possibilities for future work.
dc.format.extent154 pages
dc.identifier.urihttps://hdl.handle.net/1828/20064
dc.rightsAvailable to the World Wide Weben_US
dc.titleModelling and analysis of center of pressure dataen_US
dc.typeThesisen_US

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