تصفح حسب المؤلف "n 90698394 "
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An automatic time-frequency procedure for interference suppression by exploiting their geometrical features
Saulig, Nicoletta; Sucic, Victor; Boashash, Boualem ( IEEE , 2011 , Conference Paper)This paper presents an adaptive method for interference suppression in the Wigner-Ville distribution. The structure of the artifacts in the Wigner-Ville distribution has been analyzed to optimally mask the signal Wigner-Ville ... -
Design of a Simulator for Neonatal Multichannel EEG: Application to Time-Frequency Approaches for Automatic Artifact Removal and Seizure Detection
Al-Sa'd, Mohamed Fathi (2016 , Master Thesis)The electroencephalogram (EEG) is used to noninvasively monitor brain activities; it is the most utilized tool to detect abnormalities such as seizures. In recent studies, detection of neonatal EEG seizures has been ... -
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 ... -
Detection of seizure signals in newborns
Boashash, Boualem; Barklem, P; Keir, M ( IEEE , 1999 , Conference Paper)This paper considers a system design for processing a multidimensional biomedical signal formed by EEG, ECG, EOG and motion recorded from a newborn, for the purpose of detection of epileptic seizures in newborns as an ... -
Editorial: Time frequency and array processing of non-stationary signals
Belouchrani, Adel; Abed-Meraim, Karim; Boashash, Boualem ( Springer , 2012 , Article)Conventional time-frequency analysis methods were extended to data arrays in many applications, and there is the potential for more synergistic development of new advanced tools by exploiting the joint properties of ... -
EEG-based automatic epilepsy diagnosis using the instantaneous frequency with sub-band energies
Fani, Mohammad; Azemi, Ghasem; Boashash, Boualem ( IEEE , 2011 , Conference Paper)This paper presents a novel approach for classifying the electroencephalogram (EEG) signals as normal or abnormal. This method uses features derived from the instantaneous frequency (IF) and energies of EEG signals in ... -
Foreword to WOSSPA2013 Proceedings
Boashash, Boualem ( IEEE , 2013 , Conference Proceedings) -
NPRP 4-1303-2- 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
Boashash, B.; Colditz, Paul (2015 , Report)This is a progress report for the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 5- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 4-1303-2-517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation"
Boashash, B.; Colditz, Paul (2016 , Report)This is a progress report on the project NPRP 4 - 1303 - 2 – 517- Progress Report Number 6- "Automated Neonatal EEG quality assessment and improvement using artefact filtering and signal segmentation" -
NPRP 6-885-2-364 - Progress Report Number 5- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
Boashash, B.; Colditz, Paul (2017 , Report)This is a progress report for the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 5- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ... -
NPRP 6-885-2-364- Progress Report Number 4- "Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel time-frequency signal processing approach"
Boashash, B.; Colditz, Paul (2016 , Report)This is a project report on the project NPRP 6 - 885 - 2 – 364 - Progress Report Number 4- Localization of EEG Abnormalities for Improving Brain Monitoring of Newborn Babies at Risk of Brain Injury using a multichannel ...