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Principles of time-frequency feature extraction for change detection in non-stationary signals: Applications to newborn EEG abnormality detection
(
Elsevier Ltd
, 2015 , Article)
This paper considers the general problem of detecting change in non-stationary signals using features observed in the time-frequency (t,f) domain, obtained using a class of quadratic time-frequency distributions (QTFDs). ...
Time frequency and array processing of non-stationary signals
(2012 , Article)
The special issue of EURASIP Journal on Advances in Signal Processing 2012 focuses on the synergistic relationship between time-frequency methods and array signal processing methods and addresses recent developments. In ...
Improved characterization of HRV signals based on instantaneous frequency features estimated from quadratic time-frequency distributions with data-adapted kernels
(
Elsevier Ltd
, 2014 , Article)
The analysis of heart rate variability (HRV) provides a non-invasive tool for assessing the autonomic regulation of cardiovascular system. Quadratic time-frequency distributions (TFDs) have been used to account for the ...
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 ...
Multicomponent noisy signal adaptive instantaneous frequency estimation using components time support information
(
Institution of Engineering and Technology
, 2014 , Article)
This study proposes an adaptive method for components instantaneous frequency (IF) estimation of noisy non-stationary multicomponent signals, combined with the components time-support estimation method based on the shorttime ...
Time-frequency detection of slowly varying periodic signals with harmonics: Methods and performance evaluation
(2011 , Article)
We consider the problem of detecting an unknown signal from an unknown noise type. We restrict the signal type to a class of slowly varying periodic signals with harmonic components, a class which includes real signals ...
An efficient algorithm for instantaneous frequency estimation of nonstationary multicomponent signals in low SNR
(2011 , Article)
A method for components instantaneous frequency (IF) estimation of multicomponent signals in low signal-to-noise ratio (SNR) is proposed. The method combines a new proposed modification of a blind source separation (BSS) ...
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
(
Elsevier B.V.
, 2018 , Article)
Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ...
A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals
(
Elsevier
, 2013 , Article)
This paper proposes a new approach to estimate the phase synchrony among nonstationary multivariate signals using the linear relationships between their instantaneous frequency (IF) laws. For cases where nonstationary ...
EEG background features that predict outcome in term neonates with hypoxic ischaemic encephalopathy: A structured review
(
Elsevier Ireland Ltd
, 2016 , Article)
Objectives
Hypoxic ischaemic encephalopathy is a significant cause of mortality and morbidity in the term infant. Electroencephalography (EEG) is a useful tool in the assessment of newborns with HIE. This systematic review ...