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Accuracy of the Finite Element Method in Deep Brain Stimulation Modelling
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control.
2014 (English)In: Proc. International Conference on Control Applications: CCA 2014, Piscataway, NJ: IEEE , 2014, 1479-1484 p.Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE , 2014. 1479-1484 p.
National Category
Control Engineering Medical Equipment Engineering
Identifiers
URN: urn:nbn:se:uu:diva-238211DOI: 10.1109/CCA.2014.6981533ISI: 000366055800214ISBN: 978-1-4799-7409-2 (print)OAI: oai:DiVA.org:uu-238211DiVA: diva2:770421
Conference
CCA 2014, October 8–10, Antibes, France
Funder
EU, European Research Council, 247035
Available from: 2014-10-10 Created: 2014-12-10 Last updated: 2016-04-16Bibliographically approved
In thesis
1. Mathematical modeling for optimization of Deep Brain Stimulation
Open this publication in new window or tab >>Mathematical modeling for optimization of Deep Brain Stimulation
2016 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Deep Brain Stimulation (DBS) consists of sending mild electric stimuli to the brain via a chronically implanted lead. The therapy is used to alleviate the symptoms of different neurological diseases, such as Parkinson's Disease. However, its underlying biological mechanism is currently unknown. DBS patients undergo a lengthy trial-and-error procedure in order to tune the stimuli so that the treatment achieves maximal therapeutic benefits while limiting side effects that are often present with large stimulation values.

The present licentiate thesis deals with mathematical modeling for DBS, extending it towards optimization. Mathematical modeling is motivated by the difficulty of obtaining in vivo measurements from the brain, especially in humans. It is expected to facilitate the optimization of the stimuli delivered to the brain and be instrumental in evaluating the performance of novel lead designs. Both topics are discussed in this thesis.

First, an analysis of numerical accuracy is presented in order to verify the DBS models utilized in this study. Then a performance comparison between a state-of-the-art lead and a novel field-steering lead using clinical settings is provided. Afterwards, optimization schemes using intersection of volumes and electric field control are described, together with some simplification tools, in order to speed up the computations involved in the modeling.

Place, publisher, year, edition, pages
Uppsala University, 2016
Series
Information technology licentiate theses: Licentiate theses from the Department of Information Technology, ISSN 1404-5117 ; 2016-002
National Category
Control Engineering Medical Equipment Engineering
Research subject
Electrical Engineering with specialization in Automatic Control
Identifiers
urn:nbn:se:uu:diva-284320 (URN)
Supervisors
Available from: 2016-01-22 Created: 2016-04-16 Last updated: 2017-08-31Bibliographically approved

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Cubo, RubénMedvedev, Alexander

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