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 …
A deep convolutional neural network model to classify heartbeats
The electrocardiogram (ECG) is a standard test used to monitor the activity of the heart.
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Many cardiac abnormalities will be manifested in the ECG including arrhythmia which is a …
Ecg heartbeat classification: A deep transferable representation
Electrocardiogram (ECG) can be reliably used as a measure to monitor the functionality of
the cardiovascular system. Recently, there has been a great attention towards accurate …
the cardiovascular system. Recently, there has been a great attention towards accurate …
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 …
Electrocardiogram pattern recognition and analysis based on artificial neural networks and support vector machines: a review
Computer systems for Electrocardiogram (ECG) analysis support the clinician in tedious
tasks (eg, Holter ECG monitored in Intensive Care Units) or in prompt detection of …
tasks (eg, Holter ECG monitored in Intensive Care Units) or in prompt detection of …
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 …
Optimal multi-stage arrhythmia classification approach
Arrhythmia constitutes a problem with the rate or rhythm of the heartbeat, and an early
diagnosis is essential for the timely inception of successful treatment. We have jointly …
diagnosis is essential for the timely inception of successful treatment. We have jointly …
Application of principal component analysis to ECG signals for automated diagnosis of cardiac health
Electrocardiogram (ECG) is the P, QRS, T wave indicating the electrical activity of the heart.
The subtle changes in amplitude and duration of ECG cannot be deciphered precisely by …
The subtle changes in amplitude and duration of ECG cannot be deciphered precisely by …
Cardiac decision making using higher order spectra
The electrocardiogram (ECG) is the P-QRS-T wave representing the information about the
condition of the heart. The shape and size of the ECG signal may contain useful information …
condition of the heart. The shape and size of the ECG signal may contain useful information …