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Computer Methods and Programs in Biomedicine|October 20, 2019
EEG sleep stages identification based on weighted undirected complex networksMohammed Diykh, Yan Li, Shahab AbdullaBrain Informatics|October 18, 2016
Classification of epileptic EEG signals based on simple random sampling and sequential feature selectionHadi Ratham Al Ghayab, Yan Li, Shahab Abdulla, et al.International Journal of Medical Informatics|January 28, 2023
An intelligent model involving multi-channels spectrum patterns based features for automatic sleep stage classificationShahab Abdulla, Mohammed Diykh, Siuly Siuly, et al.Diagnostics (Basel, Switzerland)|January 21, 2022
Determinant of Covariance Matrix Model Coupled with AdaBoost Classification Algorithm for EEG Seizure DetectionHanan Al-Hadeethi, Shahab Abdulla, Mohammed Diykh, et al.Computer Methods and Programs in Biomedicine|December 17, 2022
Developing a novel hybrid method based on dispersion entropy and adaptive boosting algorithm for human activity recognitionMohammed Diykh, Shahab Abdulla, Ravinesh C Deo, et al.Frontiers in Neuroinformatics|February 21, 2022
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals AnalysisHanan Al-Hadeethi, Shahab Abdulla, Mohammed Diykh, et al.Artificial Intelligence in Medicine|February 14, 2021
A new framework for classification of multi-category hand grasps using EMG signalsFiras Sabar Miften, Mohammed Diykh, Shahab Abdulla, et al.IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|April 22, 2016
EEG Sleep Stages Classification Based on Time Domain Features and Structural Graph SimilarityMohammed Diykh, Yan Li, Peng WenPhysical and Engineering Sciences in Medicine|July 5, 2022
Developing a robust model to predict depth of anesthesia from single channel EEG signalIman Alsafy, Mohammed DiykhJournal of Neuroscience Methods|November 24, 2018
A feature extraction technique based on tunable Q-factor wavelet transform for brain signal classificationHadi Ratham Al Ghayab, Yan Li, S Siuly, et al.Pageof 2,628