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Passive detection of accelerometer-recorded fetal movements using a time–frequency signal processing approach
(
Elsevier
, 2014 , Article)
This paper describes a multi-sensor fetal movement (FetMov) detection system based on a time–frequency (TF) signal processing approach. Fetal motor activity is clinically useful as a core aspect of fetal screening for ...
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 ...
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 ...
Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Conference Paper)
This paper presents a time-frequency approach for fetal movement monitoring which is based on the instantaneous amplitude (IA) and instantaneous frequency (IF) of signals collected using 3axial accelerometers placed over ...