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Time frequency signal analysis and processing toolbox update 6.2: An enhanced research platform with new advanced high-resolution TFDs
(
IEEE
, 2013 , Conference Paper)
This paper describes the advancements, updates and improvements made in the new Time Frequency Signal Analysis TFSAP toolbox as compared with the previous TFSA toolbox version. The updates and improvements done in TFSA ...
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 ...
Performance evaluation of multi-component instantaneous frequency estimation techniques for heart rate variability analysis
(2012 , Conference Paper)
Accurate instantaneous frequency (IF) estimation of the non-stationary heart rate signal is important in quantifying the heart rate variability (HRV) measures. This study compares the effectiveness of four IF estimation ...
Instantaneous frequency based newborn EEG seizure characterisation
(2012 , Article)
The electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures ...
A cross-terms geometry based method for components instantaneous frequency estimation using the Cross Wigner-Ville distribution
(2012 , Conference Paper)
A novel method for the signal components instantaneous frequency (IF) estimation based on the CrossWigner-Ville distribution (XWVD) is presented. The cross-terms in the XWVD are deliberately formed between the analyzed ...
Evaluation of the modified S-transform for timefrequency synchrony analysis and source localisation
(2012 , Article)
This article considers the problem of phase synchrony and coherence analysis using a modified version of the S-transform, referred to here as the Modified S-transform (MST). This is a novel and important time-frequency ...
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. ...
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 ...
Improving the classification of newborn EEG time-frequency representations using a combined time-frequency signal and image approach
(2012 , Conference Paper)
This paper presents new time-frequency (T-F) features to improve the classification of non-stationary signals such as EEG signals. Previous methods were based only on signal features that were derived from the instantaneous ...
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 ...