Modeling, sampling and reconstruction of EEG signals with seizures

Modeling, sampling and reconstruction of EEG signals with seizures

This project focuses on modeling the EEG signal of an infant with seizure as signal with finite rate of innovation (FRI). EEG signals are typically non-bandlimited signals and therefore the classical sampling theorem [1], [2] cannot be applied as it only reconstructs a low pass approximation of the...

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Bibliographic Details
Main Author: Leena Bhandari.
Other Authors: Marziliano, Pina
Format: Theses and Dissertations
Published: 2008
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:http://hdl.handle.net/10356/4578
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Institution: Nanyang Technological University
Description
Summary:This project focuses on modeling the EEG signal of an infant with seizure as signal with finite rate of innovation (FRI). EEG signals are typically non-bandlimited signals and therefore the classical sampling theorem [1], [2] cannot be applied as it only reconstructs a low pass approximation of the original signal. The sampling theorems for signals with FRI will be applied to sample and reconstruct the modeled EEG signal with seizure.

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