Browsing by Author "Colditz P.B."
Now showing items 1-8 of 8
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A passive DSP approach to fetal movement detection for monitoring fetal health
Khlif M.S.H.; Boashash B.; Layeghy S.; Ben-Jabeur T.; Colditz P.B.; East C.... more authors ... less authors (2012 , Conference Paper)Fetal movement can help clinicians understand fetal functional development. Active methods for fetal monitoring such as ultrasound are expensive and there are objections to their long term usage. This paper presents a ... -
Automatic seizure detection based on the combination of newborn multi-channel EEG and HRV information Advances in Nonstationary Electrophysiological Signal Analysis and Processing
Mesbah M.; Balakrishnan M.; Colditz P.B.; Boashash B. (2012 , Article)This article proposes a new method for newborn seizure detection that uses information extracted from both multi-channel electroencephalogram (EEG) and a single channel electrocardiogram (ECG). The aim of the study is to ... -
Detection of perinatal hypoxia using time-frequency analysis of heart rate variability signals
Dong S.; Boashash B.; Azemi G.; Lingwood B.E.; Colditz P.B. (2013 , Conference Paper)This paper presents a time-frequency approach to detect perinatal hypoxia by characterizing the nonstationary nature of heart rate variability (HRV) signals. Quadratic time-frequency distributions (TFDs) are used to represent ... -
Instantaneous frequency based newborn EEG seizure characterisation
Mesbah M.; O'Toole J.M.; Colditz P.B.; Boashash B. (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 Nonlinear Model of Newborn EEG with Nonstationary Inputs
Stevenson, N.J; Mesbah, M; Boylan, G.B; Colditz, P.B; Boashash, B ( Springer US , 2010 , Article)Newborn EEG is a complex multiple channel signal that displays nonstationary and nonlinear characteristics. Recent studies have focussed on characterizing the manifestation of seizure on the EEG for the purpose of automated ... -
Passive detection of accelerometer-recorded fetal movements using a time–frequency signal processing approach
Boashash, B.; Khlif, M.S.; Ben-Jabeur, T.; East, C.E.; Colditz, P.B. ( 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 ... -
Performance evaluation of multi-component instantaneous frequency estimation techniques for heart rate variability analysis
Dong S.; Azemi G.; Lingwood B.; Colditz P.B.; Boashash B. (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 ... -
A time–frequency based approach for generalized phase synchrony assessment in nonstationary multivariate signals
Omidvarnia, A; Azemi, G; Colditz, P.B; Boashash, B ( 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 ...