Browsing by Author "Mahmuddin M."
Now showing items 1-3 of 3
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Performance Comparison of classification algorithms for EEG-based remote epileptic seizure detection in Wireless Sensor Networks
Abualsaud K.; Mahmuddin M.; Saleh M.; Mohamed A. ( IEEE Computer Society , 2014 , Conference Paper)Identification of epileptic seizure remotely by analyzing the electroencephalography (EEG) signal is very important for scalable sensor-based health systems. Classification is the most important technique for wide-ranging ... -
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 ... -
Wireless body area sensor networks signal processing and communication framework: Survey on sensing, communication technologies, delivery and feedback
Al-Saud K.A.; Mahmuddin M.; Mohamed A. ( Science Publication , 2012 , Article)Problem statement: The Wireless Body Area Sensor Networks (WBASNs) is a wireless network used for communication among sensor nodes operating on or inside the human body in order to monitor vital body parameters and movements. ...