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Multi-criteria Bayesian optimization of Empirical Mode Decomposition and hybrid filters fusion for enhanced ECG signal denoising and classification: Cardiac …
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 …
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
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 …
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
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) …
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
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 …
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
This study introduces an innovative method for ECG signal processing that combines
advanced filtering techniques, multi-objective Bayesian optimization, and a sophisticated …
advanced filtering techniques, multi-objective Bayesian optimization, and a sophisticated …