A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
Data preprocessing for heart disease classification: A systematic literature review
H Benhar, A Idri, JL Fernández-Alemán - Computer Methods and Programs …, 2020 - Elsevier
Context Early detection of heart disease is an important challenge since 17.3 million people
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
yearly lose their lives due to heart diseases. Besides, any error in diagnosis of cardiac …
Arrhythmia recognition and classification using combined linear and nonlinear features of ECG signals
Arrhythmia is a cardiac condition caused by abnormal electrical activity of the heart, and an
electrocardiogram (ECG) is the non-invasive method used to detect arrhythmias or heart …
electrocardiogram (ECG) is the non-invasive method used to detect arrhythmias or heart …
Machine learning approach to detect cardiac arrhythmias in ECG signals: A survey
Cardiac arrhythmia is a condition when the heart rate is irregular either the beat is too slow
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …
or too fast. It occurs due to improper electrical impulses that coordinates the heart beats …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
Current methods in electrocardiogram characterization
The Electrocardiogram (ECG) is the P-QRS-T wave depicting the cardiac activity of the heart.
The subtle changes in the electric potential patterns of repolarization and depolarization are …
The subtle changes in the electric potential patterns of repolarization and depolarization are …
Classification of imbalanced ECG beats using re-sampling techniques and AdaBoost ensemble classifier
Computer-aided heartbeat classification has a significant role in the diagnosis of cardiac
dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this …
dysfunction. Electrocardiogram (ECG) provides vital information about the heartbeats. In this …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
Automatic detection of arrhythmia from imbalanced ECG database using CNN model with SMOTE
SK Pandey, RR Janghel - Australasian physical & engineering sciences in …, 2019 - Springer
Timely prediction of cardiovascular diseases with the help of a computer-aided diagnosis
system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection …
system minimizes the mortality rate of cardiac disease patients. Cardiac arrhythmia detection …
Multi-stage classification of congestive heart failure based on short-term heart rate variability
In this study, we propose an automatic system to diagnose congestive heart failure using
short-term heart rate variability analysis. The system involves a multi-stage classifier. The …
short-term heart rate variability analysis. The system involves a multi-stage classifier. The …