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Mohamad EL SAYED HUSSEIN JOMAA
Mohamad EL SAYED HUSSEIN JOMAA
Healthy Mind
Verified email at univ-rennes1.fr
Title
Cited by
Cited by
Year
Time-varying time–frequency complexity measures for epileptic eeg data analysis
MA Colominas, MESH Jomaa, N Jrad, A Humeau-Heurtier, P Van Bogaert
IEEE transactions on biomedical engineering 65 (8), 1681-1688, 2017
242017
Multivariate improved weighted multiscale permutation entropy and its application on EEG data
MESH Jomaa, P Van Bogaert, N Jrad, NE Kadish, N Japaridze, ...
Biomedical signal processing and control 52, 420-428, 2019
142019
A new mutual information measure to estimate functional connectivity: Preliminary study
MESH Jomaa, MA Colominas, N Jrad, P Van Bogaert, A Humeau-Heurtier
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
32019
A new approach to sample entropy of multi-channel signals: application to EEG signals
MESH Jomaa, P Van Bogaert, N Jrad, MA Colominas, A Humeau-Heurtier
2018 26th European Signal Processing Conference (EUSIPCO), 1945-1949, 2018
32018
Multichannel time–frequency complexity measures for the analysis of age-related changes in neuromagnetic resting-state activity
MA Colominas, V Wens, A Mary, N Coquelet, MESH Jomaa, N Jrad, ...
IEEE journal of biomedical and health informatics 23 (6), 2428-2434, 2019
12019
Signal processing of electroencephalograms with 256 sensors in epileptic children
MESH Jomaa
Université d'Angers, 2019
2019
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