Computer-aided diagnosis of atrial fibrillation based on ECG Signals: A review
Arrhythmia is a type of disorder that affects the pattern and rate of the heartbeat. Among the
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
various arrhythmia conditions, atrial fibrillation (AF) is the most prevalent. AF is associated …
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 …
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 …
ECG beat classification using PCA, LDA, ICA and discrete wavelet transform
RJ Martis, UR Acharya, LC Min - Biomedical Signal Processing and Control, 2013 - Elsevier
Electrocardiogram (ECG) is the P-QRS-T wave, representing the cardiac function. The
information concealed in the ECG signal is useful in detecting the disease afflicting the …
information concealed in the ECG signal is useful in detecting the disease afflicting the …
Wavelet scattering transform for ECG beat classification
An electrocardiogram (ECG) records the electrical activity of the heart; it contains rich
pathological information on cardiovascular diseases, such as arrhythmia. However, it is …
pathological information on cardiovascular diseases, such as arrhythmia. However, it is …
Application of higher order cumulant features for cardiac health diagnosis using ECG signals
RJ Martis, UR Acharya, CM Lim… - … journal of neural …, 2013 - World Scientific
Electrocardiogram (ECG) is the electrical activity of the heart indicated by P, QRS and T
wave. The minute changes in the amplitude and duration of ECG depicts a particular type of …
wave. The minute changes in the amplitude and duration of ECG depicts a particular type of …
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 …
Patient specific machine learning models for ECG signal classification
SK Pandey, RR Janghel, V Vani - Procedia Computer Science, 2020 - Elsevier
Arrhythmia is one of the major cause of deaths across the globe. Almost 17.9 million deaths
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
are caused due to cardiovascular diseases. In order to reduce this much mortality rate, the …
Feature fusion for imbalanced ECG data analysis
W Lu, H Hou, J Chu - Biomedical Signal Processing and Control, 2018 - Elsevier
Abstract World Health Organization (WHO) indicates that cardiovascular disease remains
challenging in diagnosis and treatment. The electrocardiogram (ECG) is a very important …
challenging in diagnosis and treatment. The electrocardiogram (ECG) is a very important …
Characterization of ECG beats from cardiac arrhythmia using discrete cosine transform in PCA framework
Electrocardiogram is the P-QRS-T wave representing the cardiac depolarization and re-
polarization, recorded at the body surface. The subtle changes in amplitude and duration of …
polarization, recorded at the body surface. The subtle changes in amplitude and duration of …