Verified email at univ-boumerdes.dz
Department Engineering of Electrical Systems, Faculty of Technology, University of Boumerdes, 35000 Boumerdes, Algeria;
1996 BAC Electrical Engineering
2001 Electronic engineer
2005 Master (Eng) in electronics
2015 Doctor in Electronics
2020 Habilitation in electronic
Signal & Image Processing; Cryptography & Data hiding; Modeling; Biomedical Engineering
The objective of this project is to design a system for the acquisition of physiological signals (ECG/EMG) by IoT for the detection of epileptic seizures, whose data security is ensured by cryptography, finally an implementation of a solution is targeted.
1. N. MESSAOUDI, R. BEKKA, S. BELKACEM, Cross-Correlation Coefficient as a Means for Estimating the Effect of MVC Level According to the Fibres Inclination, 5ème conférence internationale sur le génie électrique (ICEE’2017) du 29 au 31 Octobre 2017.
2. S. BELKACEM N. MESSAOUDI, Z. DIBI, Artifact removal from electrocardiogram signal: A comparative study, 4th International Conference on Signal, Image, Vision and their Applications (SIVA'18) University of Guelma, Algeria - November 26-27, 2018. (Attestation de présentation).
3. S. BELKACEM, RE. BEKKA, N. MESSAOUDI, Influence of MVC on Temporal and Spectral Features of Simulated Surface Electromyographic Signals, Critical Reviews™ in Biomedical Engineering 47(5):409-418, 2019.
4. N. MESSAOUDI, R. BEKKA, S. BELKACEM, Classification of the Systems Used in the Detection of Surface Electromyographic Signal according to the Degree of Isotropy, Advanced Biomedical Engineering 7 (2018) 107–116.
5. N. MESSAOUDI, R. BEKKA, S. BELKACEM, Using 2D Spatial Filtering Techniques to Simulate Surface Single Fibre Action Potential, Vol(30).
6. S. BELKACEM, N. MESSAOUDI, Z. DIBI, Wavelet families’ comparison for R-peaks detection in electrocardiogram signal, BULETINUL INSTITUTULUI POLITEHNIC DIN IAŞI, ELECTROTEHNICĂ. ENERGETICĂ. ELECTRONICĂ, Vol. 65 (69), No. 1, 2019.
7. S. BELKACEM, RE. BEKKA, N. MESSAOUDI, Influence of MVC on Temporal and Spectral Features of Simulated Surface Electromyographic Signals, Critical Reviews™ in Biomedical Enginee