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...

Full description

Saved in:

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
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4578
record_format	dspace
spelling	sg-ntu-dr.10356-45782023-07-04T15:09:23Z Modeling, sampling and reconstruction of EEG signals with seizures Leena Bhandari. Marziliano, Pina School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 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. Master of Science (Signal Processing) 2008-09-17T09:54:38Z 2008-09-17T09:54:38Z 2005 2005 Thesis http://hdl.handle.net/10356/4578 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
spellingShingle	DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Medical electronics DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Leena Bhandari. Modeling, sampling and reconstruction of EEG signals with seizures
description	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.
author2	Marziliano, Pina
author_facet	Marziliano, Pina Leena Bhandari.
format	Theses and Dissertations
author	Leena Bhandari.
author_sort	Leena Bhandari.
title	Modeling, sampling and reconstruction of EEG signals with seizures
title_short	Modeling, sampling and reconstruction of EEG signals with seizures
title_full	Modeling, sampling and reconstruction of EEG signals with seizures
title_fullStr	Modeling, sampling and reconstruction of EEG signals with seizures
title_full_unstemmed	Modeling, sampling and reconstruction of EEG signals with seizures
title_sort	modeling, sampling and reconstruction of eeg signals with seizures
publishDate	2008
url	http://hdl.handle.net/10356/4578
_version_	1772828770337554432

Modeling, sampling and reconstruction of EEG signals with seizures

Similar Items