Browsing by Author "Al-Sa'D, Mohamed Fathi"
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A Deep Learning Approach for Vital Signs Compression and Energy Efficient Delivery in mhealth Systems
Said, A.; Said, Ahmed Ben; Al-Sa'D, Mohamed Fathi; Tlili, Mounira; Abdellatif, Alaa Awad; Mohamed, Amr; Elfouly, Tarek; Harras, Khaled; O'Connor, Mark Dennis... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Article)© 2013 IEEE. Due to the increasing number of chronic disease patients, continuous health monitoring has become the top priority for health-care providers and has posed a major stimulus for the development of scalable and ... -
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 ...