Time Frequency Analysis of EEG Measured When Performing the Flanker Task
(2012) FMS820 20121Mathematical Statistics
 Abstract
 This thesis handles time frequency analysis of EEG signals measured on participants performing the socalled flanker task. The analysis is done mainly using multitapering techniques on the quadratic class. Using multiple orthonormal windows when estimating the spectra of a process, one lowers the variance of estimate.
A class of locally stationary processes (LSP) is presented to use as a model of EEG which can then be used to evaluate the different timefrequency methods that are presented. This LSP contains only one component is used to model only one part of the EEG signal. When analyzing the set of EEG signals of this thesis one is most interested in the socalled N2 event and the model is therefore applied to this event. Having this... (More)  This thesis handles time frequency analysis of EEG signals measured on participants performing the socalled flanker task. The analysis is done mainly using multitapering techniques on the quadratic class. Using multiple orthonormal windows when estimating the spectra of a process, one lowers the variance of estimate.
A class of locally stationary processes (LSP) is presented to use as a model of EEG which can then be used to evaluate the different timefrequency methods that are presented. This LSP contains only one component is used to model only one part of the EEG signal. When analyzing the set of EEG signals of this thesis one is most interested in the socalled N2 event and the model is therefore applied to this event. Having this model one can then find the optimal multitapers in the mean square error sense.
Abstract Different sets of multitapers are used to analyze the timefrequency representation of the EEGsignals. These are evaluated on LSPs where the true spectra are known.
Abstract Spectra are then estimated for the EEGsignals. As there are multiple channels and different methods are used, only a selected set of these spectra are presented here. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/studentpapers/record/2798050
 author
 Brynolfsson, Johan ^{LU}
 supervisor

 Maria Sandsten ^{LU}
 organization
 course
 FMS820 20121
 year
 2012
 type
 H2  Master's Degree (Two Years)
 subject
 keywords
 Time Frequency analysis, Locally Stationary processes, Multitaper, EEG
 language
 English
 id
 2798050
 date added to LUP
 20120621 11:54:52
 date last changed
 20120621 11:54:52
@misc{2798050, abstract = {This thesis handles time frequency analysis of EEG signals measured on participants performing the socalled flanker task. The analysis is done mainly using multitapering techniques on the quadratic class. Using multiple orthonormal windows when estimating the spectra of a process, one lowers the variance of estimate. A class of locally stationary processes (LSP) is presented to use as a model of EEG which can then be used to evaluate the different timefrequency methods that are presented. This LSP contains only one component is used to model only one part of the EEG signal. When analyzing the set of EEG signals of this thesis one is most interested in the socalled N2 event and the model is therefore applied to this event. Having this model one can then find the optimal multitapers in the mean square error sense. Abstract Different sets of multitapers are used to analyze the timefrequency representation of the EEGsignals. These are evaluated on LSPs where the true spectra are known. Abstract Spectra are then estimated for the EEGsignals. As there are multiple channels and different methods are used, only a selected set of these spectra are presented here.}, author = {Brynolfsson, Johan}, keyword = {Time Frequency analysis,Locally Stationary processes,Multitaper,EEG}, language = {eng}, note = {Student Paper}, title = {Time Frequency Analysis of EEG Measured When Performing the Flanker Task}, year = {2012}, }