Cardiac arrhythmia is a group of conditions in which the heartbeat is irregular, where it can be too fast or too slow. This happens when electrical impulses that coordinate the heartbeat fail to work in a correct manner. Some of these diseases show no symptoms, but ECG (electrocardiogram) can help to diagnose as it extracts the rhythmic information of the heart and heartbeat. This information is important, and it can distinguish the cardiac condition of the patient. Some of these diseases can cause serious condition to the patient if not treated immediately, for instance, Ventricular Fibrillation can result in loss of consciousness and even death in the matter of minutes. Due to limitation in the availability of doctors or cardiologist, mac...
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people’s lives. These a...
Cardiovascular diseases (CVDs) are the highest leading cause of death worldwide with an approximate ...
With the number of cardiovascular arrhythmia cases ever increasing, there is a dire need for accurat...
Arrhythmia is the anomalies of cardiac conduction system that is characterized by abnormal heart ryt...
This work focuses on a theoretical explanation of heart rhythm disorders and the possibility of thei...
The Electrocardiogram (ECG) can be regarded as a prime tool in getting information on the cardiac fu...
Provocative heart disease is related to ventricular arrhythmias (VA). Ventricular tachyarrhythmia is...
The goal of this paper is apply convolutional neural networks to Electrocardiogram signals to detect...
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signa...
As the access to more processing resources has increased over the recent decades, the number of stud...
This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection bas...
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis an...
The field of deep learning applications is becoming more widespread. The use of traditional algorith...
4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 --...
Blood circulation depends critically on electrical activation, where any disturbance in the orderly ...
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people’s lives. These a...
Cardiovascular diseases (CVDs) are the highest leading cause of death worldwide with an approximate ...
With the number of cardiovascular arrhythmia cases ever increasing, there is a dire need for accurat...
Arrhythmia is the anomalies of cardiac conduction system that is characterized by abnormal heart ryt...
This work focuses on a theoretical explanation of heart rhythm disorders and the possibility of thei...
The Electrocardiogram (ECG) can be regarded as a prime tool in getting information on the cardiac fu...
Provocative heart disease is related to ventricular arrhythmias (VA). Ventricular tachyarrhythmia is...
The goal of this paper is apply convolutional neural networks to Electrocardiogram signals to detect...
The electrocardiogram (ECG) plays an imperative role in the medical field, as it records heart signa...
As the access to more processing resources has increased over the recent decades, the number of stud...
This article presents a new deep learning approach for cardiac arrhythmia (17 classes) detection bas...
The electrocardiogram (ECG) is one of the most extensively employed signals used in the diagnosis an...
The field of deep learning applications is becoming more widespread. The use of traditional algorith...
4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 --...
Blood circulation depends critically on electrical activation, where any disturbance in the orderly ...
Arrhythmias are anomalies in the heartbeat rhythm that occur occasionally in people’s lives. These a...
Cardiovascular diseases (CVDs) are the highest leading cause of death worldwide with an approximate ...
With the number of cardiovascular arrhythmia cases ever increasing, there is a dire need for accurat...