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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 ...
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 ...
Sleep stage classification using sparse rational decomposition of single channel EEG records
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
A sparse representation of ID signals is proposed based on time-frequency analysis using Generalized Rational Discrete Short Time Fourier Transform (RDSTFT). First, the signal is decomposed into a set of frequency sub-bands ...
Design of a high-resolution separable-kernel quadratic TFD for improving newborn health outcomes using fetal movement detection
(2012 , Conference Paper)
Prior to birth, fetus health can be monitored by the variety and scale of its movements. In addition, at birth, EEG signals are recorded from at-risk newborns. Studies have shown that both fetal movements and newborn EEGs ...
Efficient phase estimation for the classification of digitally phase modulated signals using the cross-WVD: A performance evaluation and comparison with the S-transform
(2012 , Article)
This article presents a novel algorithm based on the cross-Wigner-Ville Distribution (XWVD) for optimum phase estimation within the class of phase shift keying signals. The proposed method is a special case of the genera ...
Time-frequency analysis of heart rate variability in neonatal piglets exposed to hypoxia
(2011 , Conference Paper)
To determine whether the sympathetic nervous system plays any role in the inter-individual variation of cardiovascular response to hypoxia in newborns, neonatal heart rate variability (HRV) analysis was used to assess ...
On the selection of time-frequency features for improving the detection and classification of newborn EEG seizure signals and other abnormalities
(2012 , Conference Paper)
This paper presents new time-frequency features for seizure detection in newborn EEG signals. These features are obtained by translating some relevant time features or frequency features to the joint time-frequency domain. ...
A passive DSP approach to fetal movement detection for monitoring fetal health
(2012 , Conference Paper)
Fetal movement can help clinicians understand fetal functional development. Active methods for fetal monitoring such as ultrasound are expensive and there are objections to their long term usage. This paper presents a ...
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
(
Elsevier B.V.
, 2016 , Article)
Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ...
A review of time-frequency matched filter design with application to seizure detection in multichannel newborn EEG
(
Elsevier Inc.
, 2014 , Article)
This paper presents a novel design of a time-frequency (t-f) matched filter as a solution to the problem of detecting a non-stationary signal in the presence of additive noise, for application to the detection of newborn ...