Ibrahim Khalil

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With the growing number of aging population and a significant portion of that suffering from cardiac diseases, it is conceivable that remote ECG patient monitoring systems are expected to be widely used as point-of-care (PoC) applications in hospitals around the world. Therefore, huge amount of ECG signal collected by body sensor networks from remote(More)
Clustering algorithms have emerged as an alternative powerful meta-learning tool to accurately analyze the massive volume of data generated by modern applications. In particular, their main goal is to categorize data into clusters such that objects are grouped in the same cluster when they are similar according to specific metrics. There is a vast body of(More)
Customers of Virtual Private Networks (VPNs) over Differentiated Services (DiffServ) infrastructure are most likely to demand not only security but also guaranteed Quality-of-Service (QoS) in pursuance of their desire to have leased-line-like services. However, expectedly they will be unable or unwilling to predict the load between VPN endpoints. This paper(More)
There is significant interest in the network management and industrial security community about the need to identify the ‘‘best’’ and most relevant features for network traffic in order to properly characterize user behaviour and predict future traffic. The ability to eliminate redundant features is an important Machine Learning (ML) task because it helps(More)
Background Improving survival and extending the longevity of life for all populations requires timely, robust evidence on local mortality levels and trends. The Global Burden of Disease 2015 Study (GBD 2015) provides a comprehensive assessment of all-cause and cause-specifi c mortality for 249 causes in 195 countries and territories from 1980 to 2015. These(More)
In this paper we propose a new Legendre Polynomials based ECG biometric technique that can efficiently be used for person indentification and authentication. we apply high-order Legendre Polynomials on QRS Complex of ECG which is considered one of the most unique signature bearing parts. We show that coefficients generated from various degrees of polynomial(More)
With cardiovascular disease as the number one killer of modern era, ECG is collected, stored and transmitted in greater frequency than ever before. However, lack of existing research in secured ECG distribution forces patient privacy under serious threat. Moreover, without adopting secured ECG transmission and storage, HIPAA recommendations for patient(More)