2026-09-20T00:14:47Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333032022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Steve G. Massaquoi.
Garg, Aditi
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:13:50Z
2006-07-13T15:13:50Z
2005
2005
http://hdl.handle.net/1721.1/33303
62279581
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (p. 55-56).
Two 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.
by Aditi Garg.
M.Eng.
56 p.
2587161 bytes
2588367 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
M.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.
http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Development of quantitative tools for assessment of cerebellar dysfunction
Thesis
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