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Using Quantified Motor Behavior Outc...

Howard Louie, Kenneth.

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Using Quantified Motor Behavior Outcomes to Improve Deep Brain Stimulation in Parkinson's Disease.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Using Quantified Motor Behavior Outcomes to Improve Deep Brain Stimulation in Parkinson's Disease./
作者:	Howard Louie, Kenneth.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:	122 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-08, Section: B.
Contained By:	Dissertations Abstracts International82-08B.
標題:	Biomedical engineering. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28022154
ISBN:	9798569968374

Using Quantified Motor Behavior Outcomes to Improve Deep Brain Stimulation in Parkinson's Disease.
Howard Louie, Kenneth.

Using Quantified Motor Behavior Outcomes to Improve Deep Brain Stimulation in Parkinson's Disease. - Ann Arbor : ProQuest Dissertations & Theses, 2020 - 122 p.

Source: Dissertations Abstracts International, Volume: 82-08, Section: B.

Thesis (Ph.D.)--University of Minnesota, 2020.

This item must not be sold to any third party vendors.

Deep brain stimulation (DBS) is a highly effective therapeutic option for Parkinson's disease (PD). However, it can take 50 or more hours to obtain stimulation settings that optimally treat a patient's symptoms. Additionally, axial symptoms, such as gait, are not adequately treated in the long term. In my work I explore the use of quantified motor behavior outcomes to reduce the time needed to obtain optimal stimulation parameters, and to develop a novel stimulation delivery approaches to better treat gait. First, I tested a Bayesian optimization approach to quickly and accurately model the input/output response of rigidity to stimulation frequency. I found, for PD patients that have a high degree of rigidity, Bayesian optimization models their response needing fewer samples than a traditional trial-and-error approach. Next, I tested a novel closed-loop stimulation delivery approach that delivered short duration pulse trains at specific phases of gait. I found that the patients that respond strongly to this type of stimulation delivery have a worse gait with their clinical settings. Overall, many patients saw small changes to their gait with this approach. Lastly, I analyzed the effects of turning stimulation on and off on gait. I found that a repeated measures of gait with short duration, 1 minute, wash-in and -out can detect significant changes. This is in contrast to previous reports that significant changes are only seen between 30-60 minutes. Through these studies I demonstrate the use of quantified motor behavior outcomes to improve DBS for PD.

ISBN: 9798569968374Subjects--Topical Terms:

535387
Biomedical engineering.
Subjects--Index Terms:

Closed-loop

Using Quantified Motor Behavior Outcomes to Improve Deep Brain Stimulation in Parkinson's Disease.
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