Optimizing deep brain stimulation settings using wearable sensing technology
Name
Patel-2009-Optimizing deep brain stimulation settings using wearable sensing technology.pdf
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436.35 KB
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Checksum (MD5)
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Author(s)
Patel, Shyamal
Mancinelli, Chiara
Hughes, Richard
Dalton, Anthony
Shih, Ludy
Bonato, Paolo
Date Issued
June 2009
Journal
4th International IEEE/EMBS Conference on Neural Engineering, 2009. NER '09
Publisher
Institute of Electrical and Electronics Engineers
Citation
Patel, S. et al. “Optimizing deep brain stimulation settings using wearable sensing technology.” Neural Engineering, 2009. NER '09. 4th International IEEE/EMBS Conference on. 2009. 6-9. © 2009 IEEE
Version
Final published version
Abstract
Parkinson's disease is a neurodegenerative movement disorder resulting in rigidity, bradykinesia (slowness), tremor and gait disorder. Deep brain stimulation (DBS) of the subthalamic nucleus has been shown to be effective in managing symptoms, but quantitative methods to facilitate the adjustment of the stimulator settings are needed. In this paper, we present preliminary results from a study aimed at investigating the use of wearable sensors to quantitatively track changes in the severity of symptoms in patients with Parkinson's disease undergoing programming of the stimulator. We developed a technique that relies upon features derived from wearable sensors to track changes in the severity of symptoms over a period during which patient's motor activities are monitored. Preliminary results indicate that wearable sensors could be utilized to help clinicians achieve optimal settings of the stimulator by providing quantitative feedback concerning the impact of different settings on the severity of Parkinsonian symptoms.
Subjects
Deep Brain Stimulation
Parkinson's Disease
Wearable Technology
MIT Department
Harvard University--MIT Division of Health Sciences and Technology
Terms of Use
Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
http://dx.doi.org/10.1109/NER.2009.5109221
