The objective of this research is to implement a set of signal processing techniques, namely the Short Time Fourier Transform, spectrogram, and power spectral density in conjunction with computational neuroscience techniques such as ERPs and ICA decomposition of EEG signals to investigate the origin and distribution of neurological signals associated with the imaginary motor movement of the human hands.
This research contributes the following: 1) Application of the principles governing power spectral density, ERP analysis, ICA decomposition, and the Short Time Fourier Transform spectrogram through the use of computer modeling and simulation to provide a technique to identify the cortical pathways associated with left and right handed imaginary motor movement of the human hands. 2) Investigation into the effects of left and right-handed dominance and decussation of nerve pathways on the localization of imaginary motor movement of the human hands in addition to investigation into the components comprising the stream of EEG data used to conduct the analyses. 3) Application of the aforementioned signal processing and computational neuroscience methods in this abstract to provide insight into a frequency band of brain waves associated with imaginary motor movement of the human hands. 4) An exploratory look into future research opportunities surrounding electrode technology using a modeling and simulation-based mechanical analysis of an implantable intracortical electrode to investigate potential structural geometries, materials, and mechanical attributes of a cortical sensor that may be used in the future to aggregate neurological information in future studies.
|Advisor:||Zohdy, Mohamed A.|
|Commitee:||Kobus, Christopher J., Qu, Hongwei, Schmidt, Darrell|
|School Location:||United States -- Michigan|
|Source:||DAI-B 80/11(E), Dissertation Abstracts International|
|Subjects:||Bioengineering, Neurosciences, Electrical engineering|
|Keywords:||Biomedical engineering, Brain, Brain computer interfaces, Electrical engineering, Neuroscience, Signal processing|
Copyright in each Dissertation and Thesis is retained by the author. All Rights Reserved
The supplemental file or files you are about to download were provided to ProQuest by the author as part of a
dissertation or thesis. The supplemental files are provided "AS IS" without warranty. ProQuest is not responsible for the
content, format or impact on the supplemental file(s) on our system. in some cases, the file type may be unknown or
may be a .exe file. We recommend caution as you open such files.
Copyright of the original materials contained in the supplemental file is retained by the author and your access to the
supplemental files is subject to the ProQuest Terms and Conditions of use.
Depending on the size of the file(s) you are downloading, the system may take some time to download them. Please be