K
Khald A. I. Aboalayon
Researcher at University of Bridgeport
Publications - 9
Citations - 463
Khald A. I. Aboalayon is an academic researcher from University of Bridgeport. The author has contributed to research in topics: Sleep Stages & Support vector machine. The author has an hindex of 7, co-authored 9 publications receiving 333 citations.
Papers
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Journal ArticleDOI
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
TL;DR: A novel and efficient technique that can be implemented in an embedded hardware device to identify sleep stages using new statistical features applied to 10 s epochs of single-channel EEG signals is presented.
Proceedings ArticleDOI
Efficient sleep stage classification based on EEG signals
TL;DR: An efficient technique to identify the sleep stages from a publicly available EEG signal dataset by using a feasible set of features, easily implementable filters in any microcontroller device, and an efficient classification method is proposed.
Proceedings ArticleDOI
Efficient obstructive sleep apnea classification based on EEG signals
TL;DR: An efficient methodology that could be implemented in hardware to differentiate OSA patients from normal controls, based on the Electroencephalogram (EEG) signals is introduced.
Proceedings ArticleDOI
A comparison of different machine learning algorithms using single channel EEG signal for classifying human sleep stages
TL;DR: A novel and efficient technique that can be implemented in a microcontroller device to identify sleep stages in an effort to assist physicians in the diagnosis and treatment of related sleep disorders by enhancing the accuracy of the developed algorithm using a single channel of EEG signals is presented.
Proceedings ArticleDOI
FPGA-based denoising and beat detection of the ECG signal
TL;DR: The hardware system has achieved an overall accuracy of 98% in the beat detection phase, while providing the detected beats and the classification of irregular heart beat rates in real time.