Ibrahim Elsayed

Faculty of Computers and Information, Luxor University, Egypt · Information Technology

Early diagnosis and classification of arrhythmia from an electrocardiogram (ECG) plays a significant role in smart healthcare systems for the health monitoring of individuals with cardiovascular diseases. Unfortunately, the nonlinearity and low amplitude of ECG recordings make the classification process difficult. Thus, the performance of most trad...

Cardiovascular disease (CVD) remains the primary reason for illness and death throughout the world despite tremendous progress in diagnosis and treatment. Artificial intelligence (AI) technology can drastically revolutionize the way we perform cardiology to enhance and optimize CVD results. With boosting of information technology and the increased...

Microgrid technologies are exciting energy sources that are economically feasible for current and future applications in light of increased energy demand and the depletion of traditional sources. This article focuses on the latest metaheuristic algorithm, the marine predators algorithm (MPA), in the field of energy. To investigate a method for redu...

Preparation of Convolutional Neural Networks (CNNs) for classification purposes depends heavily on the knowledge of hyper-parameters tuning. This study aims, in particular in task of automated electrocardiograms (ECG), to minimise the user variability in the CNN training by searching and optimizing the CNN parameters automatically. In the clinical...

The Internet of Things (IoT) plays a very important role in various healthcare applications. The advancement of IoT and cloud computing facilitates the patient’s health, employee retention, and organizational quality in the medical sector. The study analyses the new IoT materials, implementations, and industry patterns for healthcare services. We a...

The electrocardiogram (ECG) is a non-invasive tool used to diagnose various heart conditions. Arrhythmia is one of the primary causes of cardiac arrest. Early ECG beat classification plays a significant role in diagnosing life-threatening cardiac arrhythmias. However, the ECG signal is very small, the anti-interference potential is low, and the noi...

The Electrocardiogram (ECG) arrhythmia classification has become an interesting research area for researchers and developers as it plays a vital role in early prevention and diagnosis of cardiovascular diseases. In ECG signal classification, the feature extraction and selection processes are critical steps. Thus, in this paper, different ECG signal...

Swarm Intelligence (SI) is referred to the social conduct emerging within decentralized and self-organization of swarms. These swarms are summarized as the well-known examples such as bird groups, fish schools, and the most social in insects species for instance bees, termites, and ants. Among those, Salp Swarm Algorithm (SSA), that has been succes...