Automatic recognition of coronary artery disease and congestive heart failure using a multi-granularity cascaded hybrid network
Numerous researchers have developed electrocardiogram (ECG) classification systems to
automatically diagnose coronary artery disease (CAD) and congestive heart failure (CHF) …
automatically diagnose coronary artery disease (CAD) and congestive heart failure (CHF) …
Identifying epileptic EEGs and congestive heart failure ECGs under unified framework of wavelet scattering transform, bidirectional weighted (2D) 2PCA and KELM
T Zhang, W Chen, X Chen - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
In order to achieve the accurate identifications of various electroencephalograms (EEGs)
and electrocardiograms (ECGs), a unified framework of wavelet scattering transform (WST) …
and electrocardiograms (ECGs), a unified framework of wavelet scattering transform (WST) …
Recognition of Supraventricular Arrhythmias in Holter ECG Recordings by ECHOView Color Map: A Case Series Study
Ambulatory 24–72 h Holter ECG monitoring is recommended for patients with suspected
arrhythmias, which are often transitory and might remain unseen in resting standard 12-lead …
arrhythmias, which are often transitory and might remain unseen in resting standard 12-lead …
Exploring the power of photoplethysmogram matrix for atrial fibrillation detection with integrated explainability
Atrial Fibrillation (AF) detection is paramount for cardiovascular health due to its potential
complications. In this study, we investigate the utility of Photoplethysmogram (PPG) for …
complications. In this study, we investigate the utility of Photoplethysmogram (PPG) for …
Unleashing the Power of Electrocardiograms: A novel approach for Patient Identification in Healthcare Systems with ECG Signals
Over the course of the past two decades, a substantial body of research has substantiated
the viability of utilising cardiac signals as a biometric modality. This paper presents a novel …
the viability of utilising cardiac signals as a biometric modality. This paper presents a novel …
Congestive heart failure detection based on electrocardiomatrix method with ECG signal
Congestive heart failure (CHF) is a prevalent, expensive to treat, and dangerous disease in
which the pumping capacity of the heart muscle is reduced due to injury or stress. It causes …
which the pumping capacity of the heart muscle is reduced due to injury or stress. It causes …
MULTI-head self-attention-based recurrent neural network with dwarf mongoose optimization algorithm-espoused QRS detector design
SR Malathi, PV Kumar - Signal, Image and Video Processing, 2024 - Springer
QRS detection is the essential electrocardiogram (ECG) analysis procedure. A reliable QRS
recognition system that achieves high accuracy despite a typical QRS morphologies and …
recognition system that achieves high accuracy despite a typical QRS morphologies and …
EHRT-RWB: A Novel Ensemble Hybrid Recurrent Transformer for Multimodal Heart Disease Risk Prediction
The disease that contains the highest mortality and morbidity across the world is cardiac
disease. Annually millions of people are affected and deaths take place due to cardiac …
disease. Annually millions of people are affected and deaths take place due to cardiac …
Atrial Fibrillation and Atrial Flutter detection using Electrocardiomatrix technique from ECG signal
Myocardial infarction, brain attack, thrombus, and heart associated complications result from
atrial fibrillation (AFIB) and AFL (Atrial Flutter) are important frequent Heart arrhythmia. This …
atrial fibrillation (AFIB) and AFL (Atrial Flutter) are important frequent Heart arrhythmia. This …
[HTML][HTML] Biopotential signals and their applicability to cybersecurity problems
CF Barceló - 2022 - dialnet.unirioja.es
Los sistemas biométricos son una técnica de identificación en auge en la actualidad. En los
últimos años se han utilizado muchos sistemas diferentes en la vida cotidiana, como la …
últimos años se han utilizado muchos sistemas diferentes en la vida cotidiana, como la …