Interactive Real Time Deep Brain Stimulation System

dc.contributor.authorSaad, John Farid Hanna
dc.date.accessioned2013-01-08T16:10:39Z
dc.date.available2013-01-08T16:10:39Z
dc.date.issued2013-01-08T16:10:39Z
dc.date.submitted2012-12-18
dc.description.abstractDeep Brain Stimulation (DBS) is a developing therapeutic technique with a high potential to control and treat central nervous system diseases through neuromodulation. DBS utilizes through implanted electrodes that are inserted in the targeted brain structure. Being an emerging technology; neuromodulation introduces many challenges that are not yet comprehensively identified, characterized and resolved. The advancement of this technique requires qualitative and quantitative perception of the brain response to electrical stimulation which is controlled by the electric field distribution within the brain tissue. This can be realized by formulating the tissue-field interaction such that we will have a better understanding of the spatial extent and the direct effects of deep brain stimulation (DBS) on neurons activity. The focus of this research is to develop a model for encoding and decoding the neuron activity in the DBS region and to address all the parameters that affect this activity in order to have a complete understanding of the DBS problem and to develop a brain model that can be readily used in DBS analysis. Our goal is to study the immediate direct effects of the stimulating field and examine where the beneficial effects of DBS originate since the mechanism of DBS is not yet fully understand and hence an inclusive comprehensive performance study will be done for the DBS problem.en
dc.identifier.urihttp://hdl.handle.net/10012/7180
dc.language.isoenen
dc.pendingfalseen
dc.publisherUniversity of Waterlooen
dc.subjectDBSen
dc.subjectNeuromodulationen
dc.subjectLinear Filtersen
dc.subject.programElectrical and Computer Engineeringen
dc.titleInteractive Real Time Deep Brain Stimulation Systemen
dc.typeDoctoral Thesisen
uws-etd.degreeDoctor of Philosophyen
uws-etd.degree.departmentElectrical and Computer Engineeringen
uws.peerReviewStatusUnrevieweden
uws.scholarLevelGraduateen
uws.typeOfResourceTexten

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