Browsing by Author "Khlif, M.S."
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Accelerometer-based fetal movement detection
Mesbah, M.; Khlif, M.S.; East, C.; Smeathers, J; Colditz, P.; Boashash, B.... more authors ... less authors ( 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 seizure using multiple filters
Khlif, M.S.; Mesbah, M.; Boashash, Boualem; Colditz, P. ( IEEE , 2010 , Conference Paper)It is often impossible to accurately differentiate between seizure and non-seizure related activities in irifants based on clinical manifestations alone. The electroencephalogram (EEG) is therefore the best tool available ... -
Kalman filter-based time-varying cortical connectivity analysis of newborn EEG
Omidvarnia, A.H.; Mesbah, M.; Khlif, M.S.; O'Toole, J.M.; Colditz, P.; Boashash, B.... more authors ... less authors ( IEEE , 2011 , Conference Paper)Multivariate Granger causality in the timefrequency domain as a representation of time-varying cortical connectivity in the brain has been investigated for the adult case. This is, however, not the case in newborns as ... -
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 ... -
Time-Frequency Characterization of Tri-Axial Accelerometer Data for Fetal Movement Detection
Khlif, M.S.; Boashash, B; Layeghy, S; Ben-Jabeur, T; Mesbah, M; East, C; Colditz, P... more authors ... less authors ( 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 ...