MESSAOUDI Noureddine

@univ-boumerdes.dz

Department Engineering of Electrical Systems, Faculty of Technology, University of Boumerdes 35000 Boumerdes, Algeria
M'hamed Bougara, Boumerdes

RESEARCH INTERESTS

Signal & Image proceessing, Modelling, Biomedical engineering

52

Scholar Citations

4

Scholar h-index

1

Scholar i10-index

RECENT SCHOLAR PUBLICATIONS

  • Impact of Confusion-Diffusion Complexity on Maintaining Data Security
    H Bourekouche, S Belkacem, N Messaoudi
    2024 2nd International Conference on Electrical Engineering and Automatic 2024

  • Comparative study between EMD, EEMD, and CEEMDAN based on De-Noising Bioelectric Signals
    F Bennia, S Moussaoui, MC Boutalbi, N Messaoudi
    2024 8th International Conference on Image and Signal Processing and their 2024

  • Efficient image encryption scheme using a nonlinear shift register and chaos
    H Bourekouche, S Belkacem, N Messaoudi
    Journal of Information and Optimization Sciences 45 (1), 157-180 2024

  • Smart embedded system for sleep apnea monitoring from ECG signals
    M Ammar, N Messaoudi, D Faked, R Noui, S Mahmoudi
    AIP Conference Proceedings 2814 (1) 2023

  • Ability of spatial filters to distinguish between two MUAPs generated from MUs with different locations, sizes and fibers pennation
    N Messaoudi, S Belkacem, RE Bekka
    Journal of Instrumentation 18 (03), P03041 2023

  • Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map
    H Bourekouche, S Belkacem, N Messaoudi
    International Journal of Informatics and Applied Mathematics 6 (2), 46-62 2023

  • ECG Beats Classification with Interpretability
    R Hammachi, N Messaoudi, S Belkacem
    2022 International Conference of Advanced Technology in Electronic and 2022

  • Effects of detection system parameters on cross-correlations between MUAPs generated from parallel and inclined muscle fibres
    N Messaoudi, RE Bekka, S Belkacem
    Polish Journal of Medical Physics and Engineering 27 (1), 87-97 2021

  • Influence of Fibres Inclination on the Degree of Gaussianity of Simulated Surface EMG Signals
    N Messaoudi, RE Bekka, S Belkacem
    Proceedings of the 2020 12th International Conference on Bioinformatics and 2020

  • Using 2D Spatial Filtering Techniques to Simulate Surface Single Fibre Action Potential
    N Messaoudi, RE Bekka, S Belkacem
    Advances in Engineering Research 30, 197-213 2019

  • Influence of MVC on Temporal and Spectral Features of Simulated Surface Electromyographic Signals
    S Belkacem, RE Bekka, N Messaoudi
    Critical Reviews™ in Biomedical Engineering 47 (5) 2019

  • Wavelet families comparison for r-peaks detection in electrocardiogram signal
    S Belkacem, N Messaoudi, Z Dibi
    Bul. Inst. Politeh. Iași 65, 9-22 2019

  • Artifact removal from electrocardiogram signal: A comparative study
    S Belkacem, N Messaoudi, Z Dibi
    2018 International Conference on Signal, Image, Vision and their 2018

  • Modle de gnration du signal EMG de surface dans un volume conducteur avec aux moins deux couches non homogne
    N Messaoudi
    2018

  • Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy
    N Messaoudi, RE Bekka, S Belkacem
    Advanced Biomedical Engineering 7, 107-116 2018

  • Cross-correlation coefficient as a means for estimating the effect of mvc level according to the fibres inclination
    N Messaoudi, REH Bekka, S Belkacem
    2017 5th International Conference on Electrical Engineering-Boumerdes (ICEE 2017

  • Assessment of the non-Gaussianity and non-linearity levels of simulated sEMG signals on stationary segments
    N Messaoudi, RE Bekka, P Ravier, R Harba
    Journal of Electromyography and Kinesiology 32, 70-82 2017

  • Simulated surface EMG signal as a function of physiological and non physiological parameters: Analyze and interpretation
    N Messaoudi, RE Bekka
    2015 4th International Conference on Electrical Engineering (ICEE), 1-4 2015

  • From single fiber action potential to surface electromyographic signal: a simulation study
    N Messaoudi, RE Bekka
    Bioinformatics and Biomedical Engineering: Third International Conference 2015

  • Effets des Paramtres Physiologiques sur le Signal SFAP de Surface Gnr dans un Volume Conducteur Planaire Invariant dans L’espace
    RE BEKKA, N MESSAOUDI, M BEHIH
    4th International Conference on Computer Integrated Manufacturing CIP 2007

MOST CITED SCHOLAR PUBLICATIONS

  • Assessment of the non-Gaussianity and non-linearity levels of simulated sEMG signals on stationary segments
    N Messaoudi, RE Bekka, P Ravier, R Harba
    Journal of Electromyography and Kinesiology 32, 70-82 2017
    Citations: 16

  • From single fiber action potential to surface electromyographic signal: a simulation study
    N Messaoudi, RE Bekka
    Bioinformatics and Biomedical Engineering: Third International Conference 2015
    Citations: 9

  • Classification of the Systems Used in Surface Electromyographic Signal Detection according to the Degree of Isotropy
    N Messaoudi, RE Bekka, S Belkacem
    Advanced Biomedical Engineering 7, 107-116 2018
    Citations: 5

  • Cross-correlation coefficient as a means for estimating the effect of mvc level according to the fibres inclination
    N Messaoudi, REH Bekka, S Belkacem
    2017 5th International Conference on Electrical Engineering-Boumerdes (ICEE 2017
    Citations: 5

  • Artifact removal from electrocardiogram signal: A comparative study
    S Belkacem, N Messaoudi, Z Dibi
    2018 International Conference on Signal, Image, Vision and their 2018
    Citations: 4

  • Simulated surface EMG signal as a function of physiological and non physiological parameters: Analyze and interpretation
    N Messaoudi, RE Bekka
    2015 4th International Conference on Electrical Engineering (ICEE), 1-4 2015
    Citations: 4

  • Efficient image encryption scheme using a nonlinear shift register and chaos
    H Bourekouche, S Belkacem, N Messaoudi
    Journal of Information and Optimization Sciences 45 (1), 157-180 2024
    Citations: 2

  • Comparative study between EMD, EEMD, and CEEMDAN based on De-Noising Bioelectric Signals
    F Bennia, S Moussaoui, MC Boutalbi, N Messaoudi
    2024 8th International Conference on Image and Signal Processing and their 2024
    Citations: 1

  • Ability of spatial filters to distinguish between two MUAPs generated from MUs with different locations, sizes and fibers pennation
    N Messaoudi, S Belkacem, RE Bekka
    Journal of Instrumentation 18 (03), P03041 2023
    Citations: 1

  • Lightweight Medical Image Encrypting and Decrypting Algorithm Based on the 3D Intertwining Logistic Map
    H Bourekouche, S Belkacem, N Messaoudi
    International Journal of Informatics and Applied Mathematics 6 (2), 46-62 2023
    Citations: 1

  • Effects of detection system parameters on cross-correlations between MUAPs generated from parallel and inclined muscle fibres
    N Messaoudi, RE Bekka, S Belkacem
    Polish Journal of Medical Physics and Engineering 27 (1), 87-97 2021
    Citations: 1

  • Influence of MVC on Temporal and Spectral Features of Simulated Surface Electromyographic Signals
    S Belkacem, RE Bekka, N Messaoudi
    Critical Reviews™ in Biomedical Engineering 47 (5) 2019
    Citations: 1

  • Wavelet families comparison for r-peaks detection in electrocardiogram signal
    S Belkacem, N Messaoudi, Z Dibi
    Bul. Inst. Politeh. Iași 65, 9-22 2019
    Citations: 1

  • Effets des Paramtres Physiologiques sur le Signal SFAP de Surface Gnr dans un Volume Conducteur Planaire Invariant dans L’espace
    RE BEKKA, N MESSAOUDI, M BEHIH
    4th International Conference on Computer Integrated Manufacturing CIP 2007
    Citations: 1

Publications

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 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 Engineering