Detection and classification of Cardiac Arrhythmia using electrocardiogram (ECG)
Main Article Content
Abstract
Cardiac Arrhythmia refers to a condition in which the heart beats irregularly, fast or slow. There are several types of arrhythmia (bradyarrhythmia, premature heartbeat, tachycardia, ventricular fibrillation, etc.). Out of these some can be very dangerous and even life threatening if not treated quickly. In this paper we try to propose a solution for detecting and then classifying various types of arrhythmia. We have used UCI Arrhythmia dataset to train and test our machine learning models.
Downloads
Metrics
Article Details
Licensing
TURCOMAT publishes articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing allows for any use of the work, provided the original author(s) and source are credited, thereby facilitating the free exchange and use of research for the advancement of knowledge.
Detailed Licensing Terms
Attribution (BY): Users must give appropriate credit, provide a link to the license, and indicate if changes were made. Users may do so in any reasonable manner, but not in any way that suggests the licensor endorses them or their use.
No Additional Restrictions: Users may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
