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Wafaa Almuhammadi
Wafaa Almuhammadi
Ph.D. student, Computer Science, Worcester Polytechnic Institute (WPI)
Verified email at wpi.edu
Title
Cited by
Cited by
Year
Sleep stage classification using EEG signal analysis: a comprehensive survey and new investigation
KAI Aboalayon, M Faezipour, WS Almuhammadi, S Moslehpour
Entropy 18 (9), 272, 2016
4022016
Efficient obstructive sleep apnea classification based on EEG signals
WS Almuhammadi, KAI Aboalayon, M Faezipour
2015 Long Island Systems, Applications and Technology, 1-6, 2015
822015
A comparison of different machine learning algorithms using single channel EEG signal for classifying human sleep stages
KAI Aboalayon, WS Almuhammadi, M Faezipour
2015 Long Island Systems, Applications and Technology, 1-6, 2015
582015
Efficient obstructive sleep apnea classification based on EEG signals. In 2015 Long Island Systems, Applications and Technology (pp. 1–6)
WS Almuhammadi, KA Aboalayon, M Faezipour
IEEE. https://doi. org/10.1109/LISAT, 2015
72015
OA-pain-sense: machine learning prediction of hip and knee osteoarthritis pain from IMU data
WS Almuhammadi, E Agu, J King, P Franklin
Informatics 9 (4), 97, 2022
42022
EEG Signal Analysis for Effective Classification of Brain States
M Faezipour, KAI Aboalayon, M Daneshzand, W Almuhammadi, ...
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Articles 1–6