Browsing by Author "Hussein R."
Now showing items 1-11 of 11
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A 3G/WiFi-enabled 6LoWPAN-based U-healthcare system for ubiquitous real-time monitoring and data logging
Tabish R.; Ghaleb A.M.; Hussein R.; Touati F.; Ben Mnaouer A.; Khriji L.; Rasid M.F.A.... more authors ... less authors ( IEEE Computer Society , 2014 , Conference Paper)Ubiquitous healthcare (U-healthcare) systems are expected to offer flexible and resilient high-end technological solutions enabling remote monitoring of patients health status in real-time and provisioning of feedback and ... -
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
Hussein R.; Mohamed A.; Alghoniemy M. ( IEEE , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
Adaptive energy-aware encoding for DWT-based wireless EEG tele-monitoring system
Hussein R.; Awad A.; El-Sherif A.A.; Mohamed A.; Alghoniemy M. ( IEEE Computer Society , 2013 , Conference Paper)Recent technological advances in wireless body sensor networks (WBSN) have made it possible for the development of innovative medical applications to improve health care and the quality of life. Electroencephalography ... -
Denoising different types of acoustic partial discharge signals using power spectral subtraction
Hussein R.; Shaban K.B.; El-Hag A.H. ( Institution of Engineering and Technology , 2018 , Article)Measuring acoustic emission (AE) of partial discharge (PD) phenomena can be adopted to estimate the condition of power transformers. However, the environmental noise encountered with AE of PD measurements negatively affects ... -
Design and analysis of an adaptive compressive sensing architecture for epileptic seizure detection
Hussein R.; Mohamed A.; Alghoniemy M.; Awad A. ( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as a representative signal carrying valuable information pertaining to the current brain state. In this work, we investigate the stability of ... -
EEG feature extraction and selection techniques for epileptic detection: A comparative study
Hussein R.; Mohamed A.; Shahan K.; Mohamed A.A. ( IEEE Computer Society , 2013 , Conference Paper)Epileptic detection techniques rely heavily on the Electroencephalography (EEG) as representative signal carrying valuable information pertaining to the current brain state. For these techniques to be efficient and reliable, ... -
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications
Awad A.; Hussein R.; Mohamed A.; El-Sherif A.A. ( IEEE Computer Society , 2013 , Conference Paper)Body Area Sensor Networks (BASNs) for healthcare applications have gained significant research interests recently due to the growing number of patients with chronic diseases requiring constant monitoring. Because of the ... -
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
Hussein R.; Mohamed A.; Alghoniemy M. ( Institute of Electrical and Electronics Engineers Inc. , 2015 , Conference Paper)The growth of wireless body area sensor networks (WBASNs) has led the way to advancements In healthcare applications and patient monitoring systems; epileptic seizure lies at the heart of these promising technologies. For ... -
High performance EEG feature extraction for fast epileptic seizure detection
Hussein R.; Elgendi M.; Ward R.; Mohamed A. ( Institute of Electrical and Electronics Engineers Inc. , 2018 , Conference Paper)Epilepsy is a neurological disorder that affects around 70 million people worldwide. Early detection of epileptic seizures has the potential to help patients in improving their quality of life. Electroencephalogram (EEG) ... -
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
Abualsaud K.; Mahmuddin M.; Hussein R.; Mohamed A. ( IEEE , 2013 , Conference Paper)Brain is the most important part in the human body controlling muscles and nerves; Electroencephalogram (EEG) signals record brain electric activities. EEG signals capture important information pertinent to different ... -
Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network
Hussein R.; Mohamed A.; Alghoniemy M. ( Elsevier Ltd , 2015 , Article)Recent technological advances in wireless body sensor networks have made it possible for the development of innovative medical applications to improve health care and the quality of life. By using miniaturized wireless ...