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Instantaneous Frequency Estimation of Multi-component Non-Stationary Signals using Multi-view Time-Frequency Distributions Based on the Adaptive Fractional Spectrogram
(
IEEE
, 2013 , Article)
This letter presents a novel algorithm to compute the instantaneous frequency (IF) of a multicomponent nonstationary signal using a combination of fractional spectrograms (FS). A high resolution time frequency distribution ...
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 ...
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 ...
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 ...
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 ...
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 ...
Effectiveness of combined time-frequency imageand signal-based features for improving the detection and classification of epileptic seizure activities in EEG signals
(
IEEE
, 2014 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the detection and classification of epileptic seizure activities in EEG signals. Most previous methods were based only on signal features derived from the ...
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 ...
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 ...
Accurate and efficient implementation of the time–frequency matched filter
(
Institution of Engineering and Technology
, 2010 , Article)
The discrete time-frequency matched filter should replicate the continuoustime-frequency matched filter, but the methods differ. To avoid aliasing, thediscrete method transforms the real-valued signal to the complex-valued ...