AI-Enabled Electrocardiogram Analysis for Disease Diagnosis

MMR Khan Mamun, T Elfouly - Applied System Innovation, 2023 - mdpi.com
Contemporary methods used to interpret the electrocardiogram (ECG) signal for diagnosis
or monitoring are based on expert knowledge and rule-centered algorithms. In recent years …

Binarized spiking neural network optimized with momentum search algorithm for fetal arrhythmia detection and classification from ECG signals

D Shekhawat, D Chaudhary, A Kumar, A Kalwar… - … Signal Processing and …, 2024 - Elsevier
Diagnosing the fetal cardiac abnormalities by fetal electrocardiogram (FECG) is a difficult
task, but it is essential to identify the fetus health condition. FECG monitoring is essential to …

Classification of arrhythmia disease through electrocardiogram signals using sampling vector random forest classifier

SD Reddy, R Murugan, A Nandi, T Goel - Multimedia Tools and …, 2023 - Springer
An electrocardiogram (ECG) is an electrical signal produced by ECG sensors to examine
and visualize the heart's functionality, quick identification of arrhythmia aids in proper care …

Resan: A Residual Dual‐Attention Network for Abnormal Cardiac Activity Detection

X Wang, Y Zhu, F Wu, L Gao, D Qi… - Computational …, 2024 - Wiley Online Library
Cardiovascular disease is one of the leading causes of death worldwide. Early and accurate
detection of abnormal cardiac activity can be an effective way to prevent serious …

A multi-branch multi-scale convolutional neural network using automatic detection of fetal arrhythmia

SKR Kanna, FH Shajin, P Rajesh… - Signal, Image and Video …, 2024 - Springer
Fetal arrhythmia can manifest as irregular cardiac rhythm, abnormal heart rate or both
irregular cardiac rhythm and abnormal heart rate. Fetal testing without proper care is very …

Hybrid deep learning methodology for fetal cardiac disease prediction

V Yerande, K Bhole, A Utikar… - 2024 10th …, 2024 - ieeexplore.ieee.org
Monitoring of the fetal cardiac cycle is of utmost importance during pregnancy for ensuring
fetal health status in a non-invasive way. Irregular fetal cardiac activity indicates heart …

Advancing Cardiac Diagnosis via Machine Learning Techniques to Identify Anomalous ECG Patterns

S Sakib, MT Rashid, MRF Chaity… - … Conference on Power …, 2024 - ieeexplore.ieee.org
Early detection of cardiac abnormalities through ECG signal analysis is crucial for improving
patient outcomes. This study evaluates machine learning techniques—K-Nearest Neighbor …

Classification of Fetal Cardiac Arrhythmia Using Heart Rate Variability and Machine Learning

MA Shahid, A Shaukat, MU Akram… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Fetal arrhythmias can lead to cardiac failure or death; thus, early detection is crucial but
challenged by noise and artifacts. This paper investigates fetal arrhythmia detection using …