Multi-criteria Bayesian optimization of Empirical Mode Decomposition and hybrid filters fusion for enhanced ECG signal denoising and classification: Cardiac …

D Bentaleb, Z Khatar - Computers in Biology and Medicine, 2025 - Elsevier
This paper introduces a new advanced model for denoising and classification of ECG
signals, focusing on the use of a hybrid filter and Bayesian optimization. The hybrid filter …

Integrating advanced combined numerical filters for ECG denoising and cardiovascular disease classification using deep learning

Z Khatar, D Bentaleb, M El Mansouri - International Conference on Digital …, 2024 - Springer
In this paper, a novel method for ECG signal processing for cardiovascular disease
classification using deep learning is proposed. The central element of the study is a new …

[HTML][HTML] Automatic Detection of Occluded Main Coronary Arteries of NSTEMI Patients with MI-MS ConvMixer+ WSSE Without CAG

MC Goktekin, E Gul, T Çakmak, F Demir… - …, 2025 - pmc.ncbi.nlm.nih.gov
Background/Objectives: Heart attacks are the leading cause of death in the world. There are
two important classes of heart attack: ST-segment Elevation Myocardial Infarction (STEMI) …

MI-CSBO: a hybrid system for myocardial infarction classification using deep learning and Bayesian optimization

E Gül, A Diker, E Avcı, A Doğantekin - Computer Methods in …, 2024 - Taylor & Francis
Myocardial Infarction (MI) refers to damage to the heart tissue caused by an inadequate
blood supply to the heart muscle due to a sudden blockage in the coronary arteries. This …

Bayesian Methods for Multi-Objective Optimization of Hybrid Numerical Filters in ECG Signal Processing for Accurate Arrhythmia Classification

Z Khatar, D Bentaleb, S Drissi - Statistics, Optimization & Information …, 2025 - iapress.org
This study introduces an innovative method for ECG signal processing that combines
advanced filtering techniques, multi-objective Bayesian optimization, and a sophisticated …