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Detection of neonatal EEG burst-suppression using a time-frequency approach
(
IEEE
, 2014 , Conference Paper)
In newborn EEG, the presence of burst suppression carries with it a high probability of poor neurodevelopmental outcome. This paper presents a novel method to detect neonatal bust suppression from multichannel EEG using a ...
Classification of fetal movement accelerometry through time-frequency features
(
IEEE
, 2014 , Conference Paper)
This paper presents a time-frequency approach for fetal movement monitoring which is based on classification of accelerometry signals collected from pregnant women's abdomen. Features extracted from time-frequency distribution ...
Analysis of local time-frequency entropy features for nonstationary signal components time supports detection
(
Elsevier Inc.
, 2014 , Article)
Identification of different specific signal components, produced by one or more sources, is a problem encountered in many signal processing applications. This can be done by applying the local time-frequency-based Rényi ...
Measuring time-varying information flow in scalp EEG signals: Orthogonalized partial directed coherence
(
IEEE
, 2014 , Article)
This study aimed to develop a time-frequency method for measuring directional interactions over time and frequency from scalp-recorded electroencephalographic (EEG) signals in a way that is less affected by volume conduction ...
Automated detection of perinatal hypoxia using time-frequency-based heart rate variability features
(
Springer Berlin Heidelberg
, 2014 , Article)
Perinatal hypoxia is a cause of cerebral injury in foetuses and neonates. Detection of foetal hypoxia during labour based on the pattern recognition of heart rate signals suffers from high observer variability and low ...
Editorial: Time frequency and array processing of non-stationary signals
(
Springer
, 2012 , Article)
Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of ...
Fast and memory-efficient algorithms for computing quadratic time–frequency distributions
(
Elsevier Inc
, 2013 , Article)
Algorithms for computing time–frequency distributions (TFDs) limit computation time by reducing numerical operations. But these fast algorithms do not reduce the memory load. This article presents four TFD algorithms to ...
A nonparametric feature for neonatal EEG seizure detection based on a representation of pseudo-periodicity
(
Elsevier Ltd
, 2011 , Article)
Automated methods of neonatal EEG seizure detection attempt to highlight the evolving, stereotypical, pseudo-periodic, nature of EEG seizure while rejecting the nonstationary, modulated, coloured stochastic background in ...
Editorial: Time-Frequency Approach to Radar Detection, Imaging, and Classification
(
Institution of Engineering and Technology
, 2010 , Article)
One of the central problems in exploiting the radar data is the analysis of atime series. The problem at hand is how to extract the information present in the data and use it to its full potential. Traditionally, radar ...
NPRP 4-1303-2-517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
(2016 , Report)
This is a progress report on the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"