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Ramy Hussein
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Optimized deep neural network architecture for robust detection of epileptic seizures using EEG signals
R Hussein, H Palangi, RK Ward, ZJ Wang
Clinical Neurophysiology 130 (1), 25-37, 2019
1332019
Epileptic seizure detection: A deep learning approach
R Hussein, H Palangi, R Ward, ZJ Wang
arXiv preprint arXiv:1803.09848, 2018
1002018
Wavelet transform with histogram-based threshold estimation for online partial discharge signal denoising
R Hussein, KB Shaban, AH El-Hag
IEEE transactions on instrumentation and measurement 64 (12), 3601-3614, 2015
672015
Energy Conservation-based Thresholding for Effective Wavelet Denoising of Partial Discharge Signals
R Hussein, KB Shaban, AH El-Hag
IET Science, Measurement and Technology, 2016
342016
Robust detection of epileptic seizures based on L1-penalized robust regression of EEG signals
R Hussein, M Elgendi, ZJ Wang, RK Ward
Expert Systems with Applications 104, 153-167, 2018
302018
Denoising of acoustic partial discharge signals corrupted with random noise
R Hussein, K BashirShaban, AH El-Hag
IEEE Transactions on Dielectrics and Electrical Insulation 23 (3), 1453-1459, 2016
282016
Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network
R Hussein, A Mohamed, M Alghoniemy
Biomedical Signal Processing and Control 19, 122-129, 2015
272015
Human intracranial EEG quantitative analysis and automatic feature learning for epileptic seizure prediction
R Hussein, MO Ahmed, R Ward, ZJ Wang, L Kuhlmann, Y Guo
arXiv preprint arXiv:1904.03603, 2019
252019
Performance evaluation for compression-accuracy trade-off using compressive sensing for EEG-based epileptic seizure detection in wireless tele-monitoring
K Abualsaud, M Mahmuddin, R Hussein, A Mohamed
2013 9th International Wireless Communications and Mobile Computing …, 2013
242013
Robust detection of epileptic seizures using deep neural networks
R Hussein, H Palangi, ZJ Wang, R Ward
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
212018
Semi-dilated convolutional neural networks for epileptic seizure prediction
R Hussein, S Lee, R Ward, MJ McKeown
Neural Networks 139, 212-222, 2021
192021
Denoising different types of acoustic partial discharge signals using power spectral subtraction
R Hussein, KB Shaban, AH El‐Hag
High voltage 3 (1), 44-50, 2018
172018
Energy-aware cross-layer optimization for EEG-based wireless monitoring applications
A Awad, R Hussein, A Mohamed, AA El-Sherif
38th Annual IEEE Conference on Local Computer Networks, 356-363, 2013
172013
A deep convolutional-recurrent neural network architecture for Parkinson’s disease EEG classification
S Lee, R Hussein, MJ McKeown
2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019
162019
Robust feature extraction and classification of acoustic partial discharge signals corrupted with noise
R Hussein, KB Shaban, AH El-Hag
IEEE Transactions on Instrumentation and measurement 66 (3), 405-413, 2017
162017
Comparison of different fourth order Hilbert fractal antennas for partial discharge measurement
AA Zahed, AH El-Hag, N Qaddoumi, R Hussein, KB Shaban
IEEE Transactions on Dielectrics and Electrical Insulation 24 (1), 175-182, 2017
152017
Ll-regularization based EEG feature learning for detecting epileptic seizure
R Hussein, ZJ Wang, R Ward
2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2016
152016
A convolutional-recurrent neural network approach to resting-state EEG classification in Parkinson’s disease
S Lee, R Hussein, R Ward, ZJ Wang, MJ McKeown
Journal of neuroscience methods 361, 109282, 2021
122021
Energy-efficient on-board processing technique for wireless epileptic seizure detection systems
R Hussein, A Mohamed, M Alghoniemy
2015 International Conference on Computing, Networking and Communications …, 2015
102015
Adaptive compression and optimization for real-time energy-efficient wireless EEG monitoring systems
R Hussein, A Mohamed, M Alghoniemy
The 6th 2013 Biomedical Engineering International Conference, 1-5, 2013
102013
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