Interactive Real Time Deep Brain Stimulation System
Deep 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; neuromodul...
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ndltd-LACETR-oai-collectionscanada.gc.ca-OWTU.10012-71802013-10-04T04:11:53ZSaad, John Farid Hanna2013-01-08T16:10:39Z2013-01-08T16:10:39Z2013-01-08T16:10:39Z2012-12-18http://hdl.handle.net/10012/7180Deep 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.enDBSNeuromodulationLinear FiltersInteractive Real Time Deep Brain Stimulation SystemThesis or DissertationElectrical and Computer EngineeringDoctor of PhilosophyElectrical and Computer Engineering |
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DBS Neuromodulation Linear Filters Electrical and Computer Engineering |
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DBS Neuromodulation Linear Filters Electrical and Computer Engineering Saad, John Farid Hanna Interactive Real Time Deep Brain Stimulation System |
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Deep 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. |
author |
Saad, John Farid Hanna |
author_facet |
Saad, John Farid Hanna |
author_sort |
Saad, John Farid Hanna |
title |
Interactive Real Time Deep Brain Stimulation System |
title_short |
Interactive Real Time Deep Brain Stimulation System |
title_full |
Interactive Real Time Deep Brain Stimulation System |
title_fullStr |
Interactive Real Time Deep Brain Stimulation System |
title_full_unstemmed |
Interactive Real Time Deep Brain Stimulation System |
title_sort |
interactive real time deep brain stimulation system |
publishDate |
2013 |
url |
http://hdl.handle.net/10012/7180 |
work_keys_str_mv |
AT saadjohnfaridhanna interactiverealtimedeepbrainstimulationsystem |
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1716600989000138752 |