INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION

INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION

Bibliographic Details
Main Author: Rellinger, Benjamin Addison
Language:English
Published: Case Western Reserve University School of Graduate Studies / OhioLINK 2008
Subjects:
Biomedical Research
DBS
Volterra
Rigidity
Stimulus
STIMULATION
NONLINEAR
Input
Online Access:http://rave.ohiolink.edu/etdc/view?acc_num=case1228516649
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spelling ndltd-OhioLink-oai-etd.ohiolink.edu-case12285166492021-08-03T05:32:55Z INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION Rellinger, Benjamin Addison Biomedical Research DBS Volterra Rigidity Stimulus STIMULATION NONLINEAR Input Deep Brain Stimulation (DBS) is very effective in the treatment of the symptomsof Parkinson’s Disease. However, the mechanisms of its effect on the brain are notknown; as a result, there is no way to program optimal parameters for treatmentwithout resorting to a time‐intensive trial‐and‐error method of programming whereinthe stimulus parameters are slowly varied and the patient’s symptoms manuallyassessed. The recent development of the Automated Rigidity Tester (ART) allows for theautomated, objective assessment of Parkinsonian symptoms. It is believed that theapplication of this ART along with nonlinear dynamical modeling of the symptomresponse to varied inputs could lead to faster, less costly DBS programming as well asmore optimal stimulus settings.Toward that end, we have investigated on two fronts. On the first, we have setout to determine experimentally if the timing of the current clinical DBS protocol is toofast, allowing the effects of one set of stimulation parameters to interfere with the next.The data collected to date appear qualitatively to support this assertion, though wecannot prove significance. On the second front, we have worked toward implementing14an extensible, generic and experimentally proven nonlinear modeling structure (theLaguerre‐Volterra Network) in the MATLAB programming environment. 2008-12-10 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1228516649 http://rave.ohiolink.edu/etdc/view?acc_num=case1228516649 unrestricted This thesis or dissertation is protected by copyright: all rights reserved. It may not be copied or redistributed beyond the terms of applicable copyright laws.
collection NDLTD
language English
sources NDLTD
topic Biomedical Research
DBS
Volterra
Rigidity
Stimulus
STIMULATION
NONLINEAR
Input
spellingShingle Biomedical Research
DBS
Volterra
Rigidity
Stimulus
STIMULATION
NONLINEAR
Input
Rellinger, Benjamin Addison
INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
author Rellinger, Benjamin Addison
author_facet Rellinger, Benjamin Addison
author_sort Rellinger, Benjamin Addison
title INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
title_short INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
title_full INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
title_fullStr INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
title_full_unstemmed INVESTIGATION OF NONLINEAR DYNAMICAL MODELS FOR OPTIMIZATION OF DEEP BRAIN STIMULATION
title_sort investigation of nonlinear dynamical models for optimization of deep brain stimulation
publisher Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate 2008
url http://rave.ohiolink.edu/etdc/view?acc_num=case1228516649
work_keys_str_mv AT rellingerbenjaminaddison investigationofnonlineardynamicalmodelsforoptimizationofdeepbrainstimulation
_version_ 1719421592744755200

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