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Comparison of Three Deep Brain Stimulation Lead Designs under Voltage and Current Modes
Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering. (Biomedical instrumentation and neural engineering)ORCID iD: 0000-0002-6896-1452
Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering. (Biomedical instrumentation and neural engineering)ORCID iD: 0000-0002-0012-7867
Linköping University, Department of Biomedical Engineering, Biomedical Instrumentation. Linköping University, Faculty of Science & Engineering. (Biomedical instrumentation and neural engineering)
2015 (English)In: World Congress on Medical Physics and Biomedical Engineering, June 7-12, 2015, Toronto, Canada / [ed] David A. Jaffray, 2015, Vol. 51, 1196-1199 p.Conference paper, Abstract (Refereed)
Abstract [en]

Since the introduction of deep brain stimulation (DBS) the technique has been dominated by Medtronic sys-tems. In recent years, new DBS systems have become available for patients, and some are in clinical trials. The present study aims to evaluate three DBS leads operated in either voltage or current mode. 3D finite element method (FEM) models were built in combination with a neuron model for this purpose. The axon diameter was set to D = 5 μm and simulations performed in both voltage (0.5-5 V) and current (0.5-5 mA) mode. The evaluation was achieved based on the distance from the lead for neural activation and the electric field (EF) extension at 0.1 V/mm. The results showed that the neural activation distance agrees well between the leads with an activation distance dif-ference less than 0.5 mm. The shape of the field at the 0.1 V/mm isopotential surface in 3D is mostly spherical in shape around the activated section of the steering lead.

Place, publisher, year, edition, pages
2015. Vol. 51, 1196-1199 p.
Keyword [en]
deep brain stimulation (DBS), electrode design, finite element method (FEM), neuron model
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:liu:diva-120637DOI: 10.1007/978-3-319-19387-8_290ISBN: 978-3-319-19386-1ISBN: 978-3-319-19387-8OAI: oai:DiVA.org:liu-120637DiVA: diva2:847553
Conference
World congress on medical physics and biomedical engineering, Toronto, June 7-12, 2015
Funder
Swedish Research Council, 621-2013-6078EU, FP7, Seventh Framework Programme, 305814
Available from: 2015-08-20 Created: 2015-08-20 Last updated: 2016-05-04

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Alonso, FabiolaWårdell, KarinLatorre, Malcolm
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ReferencesLink to record
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