Mohamed Issa

Research

Postdoctoral Researcher-Severo Ochoa fellow 2023-2025

Keywords: Brain Signal Processing, Brain Oscillations, Static-Dynamic Connectivity, Network Visualization and Analysis, Brain Rewiring Pathways.

Research group: Brain Rhythms and Cognition

m.issa@bcbl.eu

+34 943 309 300

Publications

2024

Issa, M.F., Khan, I., Ruzzoli, M., Molinaro, N., & Lizarazu, M. (2024). On the speech envelope in the cortical tracking of speech. NeuroImage, 297. Doi:10.1016/j.neuroimage.2024.120675

Alsekait, D.m., Fathi, H., Taha, M., Taha, A., Nabil, A., Nawaz, A., Ahmed, Z., Alshinwan, M., Issa, M.F., & AbdElminaam, D.S. (2024). Empowering Retail Dual Transformer-Based Profound Product Recommendation Using Multi-Model Review. Journal of Organizational and End User Computing, 36(1). Doi:10.4018/JOEUC.358002

2023

Gyulai, A., Körmendi, J., Issa, M.F., Juhasz, Z., & Nagy, Z. (2023). Event-Related Spectral Perturbation, Inter Trial Coherence, and Functional Connectivity in motor execution: A comparative EEG study of old and young subjects. Brain and Behavior, 13(8). Doi:10.1002/brb3.3176

Issa, M.F., Yousry, A., Tuboly, G., Juhasz, Z., AbuEl-Atta, A.H., & Selim, M.M. (2023). Heartbeat classification based on single lead-II ECG using deep learning. Heliyon, 9(7). Doi:10.1016/j.heliyon.2023.e17974

2021

Issa, M.F., Kozmann, G., & Juhasz, Z. (2021). Increasing the Temporal Resolution of Dynamic Functional Connectivity with Ensemble Empirical Mode Decomposition. IFMBE Proceedings, 80, 664-672. Doi:10.1007/978-3-030-64610-3_74

2019

Issa, M.F., & Juhasz, Z. (2019). Improved EOG artifact removal using wavelet enhanced independent component analysis. Brain Sciences, 9(12). Doi:10.3390/brainsci9120355

Issa, M.F., Tuboly, G., Kozmann, G., & Juhasz, Z. (2019). Automatic ECG Artefact Removal from EEG Signals. Measurement Science Review, 19(3), 101-108. Doi:10.2478/msr-2019-0016

Issa, M.F., Gyulai, A., Kozmann, G., Nagy, Z., & Juhasz, Z. (2019). Functional connectivity biomarkers based on resting-state EEG for stroke recovery. 2019 Proceedings of the 12th International Conference on Measurement, MEASUREMENT 2019, 133-136. Doi:10.23919/measurement47340.2019.8779964

Juhasz, Z., & Issa, M.F. (2019). EEG based imaging of stroke location, extent and progress of recovery using a GPU architecture. 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2019 - Proceedings, 369-374. Doi:10.23919/MIPRO.2019.8757035

2017

Issa, M.F., Csizmadia, F., Juhasz, Z., & Kozmann, G. (2017). EEG-assisted reaction time measurement method for bilingual lexical access study experiments. 2017 11th International Conference on Measurement, MEASUREMENT 2017 - Proceedings, 229-232. Doi:10.23919/MEASUREMENT.2017.7983578

2016

Shedeed, H.A., & Issa, M.F. (2016). Brain-EEG signal classification based on data normalization for controlling a robotic arm. International Journal of Tomography and Simulation, 29(1), 72-85.

2013

Shedeed, H.A., Issa, M.F., & El-Sayed, S.M. (2013). Brain EEG signal processing for controlling a robotic arm. Proceedings - 2013 8th International Conference on Computer Engineering and Systems, ICCES 2013, 152-157. Doi:10.1109/ICCES.2013.6707191