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A study on adaptive stimulation of the basal ganglia as a treatment for Parkinsonism
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A study on adaptive stimulation of the basal ganglia as a treatment for Parkinsonism
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Leondopulos
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Stathis S.
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Stathis S. Leondopulos
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author
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Micheli-Tzanakou
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Evangelia
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Advisory Committee
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Evangelia Micheli-Tzanakou
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chair
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Bushnell
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Michael
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Advisory Committee
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Michael Bushnell
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internal member
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Gajic
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Zoran
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Advisory Committee
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Zoran Gajic
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internal member
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Caggiano
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Michael
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Advisory Committee
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Michael Caggiano
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internal member
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Orfanidis
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Sophocles
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Advisory Committee
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Sophocles J. Orfanidis
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internal member
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Nowakowski
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Richard
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Advisory Committee
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Richard S. Nowakowski
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Rutgers University
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Graduate School - New Brunswick
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theses
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2007
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2007
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English
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electronic
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xx, 193 pages
Abstract
The purpose of this dissertation is to design an automated system for the modification of Deep Brain Stimulation (DBS) parameters based on specific identifiers in the neuronal response of Parkinsonian patients undergoing DBS treatment. The neural response patterns are obtained from an artificial neural network consisting of dynamic neuron and synapse components and programmed to exhibit a response to pulse stimuli that resembles the activity in the subthalamic nucleus of Parkinsonian patients undergoing DBS treatment. Moreover, using pulse stimuli of varying specification, a band-pass filtered response of the network is subjected to a set of signal processing techniques including Linear Predictive Coding (LPC), Autoregressive Moving Average (ARMA) modeling, Discrete Fourier Transform (DFT), moments and higher order statistics, producing a set of results or features. Then, each feature is evaluated to determine the effectiveness, in terms of error probability, of discerning between different neuronal responses to pulse stimuli. Furthermore, a digital circuit is designed at the transistor level for computing the 1st LPC coefficient of recorded neural data and also autonomously regulating the specifications of the stimulus waveform based on the value of the computed coefficient. Also, the circuit design is optimized using a pipeline to reduce dynamic power dissipation. Moreover, it is suggested that a similar design may be useful in automating the administration of DBS as a treatment for Parkinsonism with only a minimal additional power demand.
Note
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Ph.D.
Note
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Includes bibliographical references (p. 181-192).
Subject
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Topic
Electrical and Computer Engineering
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Brain stimulation
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Graduate School - New Brunswick Electronic Theses and Dissertations
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rucore19991600001
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http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.16722
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ETD_571
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doi:10.7282/T3T1542B
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ETD doctoral
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Rights
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The author owns the copyright to this work.
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Copyright protected
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Open
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Stathis Leondopulos
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Rutgers University. Graduate School - New Brunswick
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Author Agreement License
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I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
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