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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 ...
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 ...
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 ...
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 ...
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 ...
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 ...