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 so-called 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 time-frequency 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 so-called 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 so-called 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 time-frequency 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 so-called 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 time-frequency representation of the EEG-signals. These are evaluated on LSPs where the true spectra are known.
Abstract Spectra are then estimated for the EEG-signals. 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/student-papers/record/2798050
- author
- Brynolfsson, Johan LU
- supervisor
- 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
- 2012-06-21 11:54:52
- date last changed
- 2012-06-21 11:54:52
@misc{2798050,
abstract = {{This thesis handles time frequency analysis of EEG signals measured on participants performing the so-called 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 time-frequency 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 so-called 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 time-frequency representation of the EEG-signals. These are evaluated on LSPs where the true spectra are known.
Abstract Spectra are then estimated for the EEG-signals. As there are multiple channels and different methods are used, only a selected set of these spectra are presented here.}},
author = {{Brynolfsson, Johan}},
language = {{eng}},
note = {{Student Paper}},
title = {{Time Frequency Analysis of EEG Measured When Performing the Flanker Task}},
year = {{2012}},
}