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dc.contributor.advisorSteve G. Massaquoi.en_US
dc.contributor.authorGarg, Aditien_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.en_US
dc.date.accessioned2006-07-13T15:13:50Z
dc.date.available2006-07-13T15:13:50Z
dc.date.copyright2005en_US
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/33303
dc.descriptionThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.en_US
dc.descriptionIncludes bibliographical references (p. 55-56).en_US
dc.description.abstractTwo tools for the quantitative assessment of cerebellar dysfunction are developed and explored. One is based on a battery of laptop tests desgined for clinical use. Extensive analysis of one of the tests using a speed/accuracy trade-off shows a correlation of 0.74 with existing scoring systems. The second involves modeling the cerebellar function in arm movement as a PID controller. Initial results show trends toward asymmetry, higher values for Gk₂₁ and Gk₂₂, and lower values for Gk₁₁ and Gk₁₂ as differences between the controller gains of ataxic subjects and control subjects when analyzing the trajectories of point to point movements. Further insight into these trends may lead to a deeper understanding of the cerebellum's function and dysfunction.en_US
dc.description.statementofresponsibilityby Aditi Garg.en_US
dc.format.extent56 p.en_US
dc.format.extent2587161 bytes
dc.format.extent2588367 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Science.en_US
dc.titleDevelopment of quantitative tools for assessment of cerebellar dysfunctionen_US
dc.typeThesisen_US
dc.description.degreeM.Eng.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc62279581en_US


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