DSpace À propos de l'application DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/14083

Titre: Comparative study between EMD, EEMD, and CEEMDAN based on De-Noising Bioelectric Signals
Auteur(s): Bennia, Fatima
Moussaoui, Siham
Boutalbi, Mohammed Chaker
Messaoudi, Noureddine
Mots-clés: Biomedical signals (ECG, EMG, EEG)
Empirical mode decomposition (EMD)
Ensemble empirical mode decomposition (EEMD)
Complete ensemble empirical mode decomposition with additive noise (CEEMDAN)
intrinsic mode functions (IMF)
Date de publication: 2024
Editeur: Institute of Electrical and Electronics Engineers
Collection/Numéro: 2024 8th International Conference on Image and Signal Processing and their Applications (ISPA), Biskra, Algeria, 2024;pp. 1-6
Résumé: In synch with the artificial intelligence era and particularly in the biomedical field, biomedical signals like electrocardiographic (ECG), electromyographic (EMG), and Electroencephalogram (EEG) are being used in various applications, such as artificial hand and arterial pressure. However, identifying a patient's ailment is still a challenge. In this paper, we have utilized three empirical mode decomposition techniques to minimize the impact of additive noises on noninvasive biomedical signals. These methods are the classical empirical mode decomposition (EMD), ensemble empirical mode decomposition (EEMD), and the complete ensemble empirical mode decomposition with additive noise (CEEMDAN). Using the correlation coefficient, we conducted an extensive simulation and detailed comparative study between the noisy and reconstructed signals. The results show that the CEEMDAN method is the most effective in reducing noise compared to the other two methods.
URI/URL: https://ieeexplore.ieee.org/document/10536839
10.1109/ISPA59904.2024.10536839
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/14083
Collection(s) :Communications Internationales

Fichier(s) constituant ce document :

Il n'y a pas de fichiers associés à ce document.

View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires