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Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
(
IEEE
, 2011 , Conference Paper)
This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image ...
Analysis of the time-varying cortical neural connectivity in the newborn EEG: A time-frequency approach
(
IEEE
, 2011 , Conference Paper)
Relationships between cortical neural recordings as a representation of functional connectivity between cortical brain regions were quantified using different time-frequency criteria. Among these, Partial Directed Coherence ...
Iterative blocking artefact reduction based on local contrast information
(
IEEE
, 2011 , Conference Paper)
Block based transform coding is the most popular
technique for image and video compression. However, images
compressed using block based algorithms exhibit highly visible
blocking artifacts. We propose an iterative ...
A radon wigner ville based image dissimilarity measure
(
IEEE
, 2011 , Conference Paper)
In this paper, we introduce a radon wigner ville based image dissimilarity measure. The proposed Image distortion measure aims to combine the useful properties of the wigner ville and the directionality of the finite Radon ...
EEG-based automatic epilepsy diagnosis using the instantaneous frequency with sub-band energies
(
IEEE
, 2011 , Conference Paper)
This paper presents a novel approach for classifying the electroencephalogram (EEG) signals as normal or abnormal. This method uses features derived from the
instantaneous frequency (IF) and energies of EEG signals in ...
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
(
IEEE
, 2011 , Conference Paper)
Monitoring fetal wellbeing is a significant problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity and its well-being. Using data acquired by accelerometry sensors, we ...
An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
(
IEEE
, 2011 , Conference Paper)
This paper presents an adaptive method for interference suppression in the Wigner-Ville distribution. The structure of the artifacts in the Wigner-Ville distribution has been analyzed to optimally mask the signal Wigner-Ville ...
Image quality metrics based multifocus image fusion
(
IEEE
, 2011 , Conference Paper)
We describe an innovative methodology for block based multifocus
image fusion in the spatial domain. The main idea is
to use blind or no reference blur metrics for image fusion applications.
Two blur quality metrics ...
Accelerometer-based fetal movement detection
(
IEEE
, 2011 , Conference Paper)
Monitoring fetal wellbeing is a compelling problem in modern obstetrics. Clinicians have become increasingly aware of the link between fetal activity (movement), well-being, and later developmental outcome. We have recently ...
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
(
IEEE
, 2011 , Conference Paper)
Multivariate Granger causality in the timefrequency
domain as a representation of time-varying cortical
connectivity in the brain has been investigated for the adult
case. This is, however, not the case in newborns as ...